Wearable device and method for providing vibration notification, and non-transitory computer-readable storage medium

Abstract

This wearable device may comprise a memory for storing instructions, a heart rate sensor, an actuator and at least one processor. The at least one processor can instruct the wearable device to: acquire heart rate data through the heart rate sensor; detect an event causing a vibration notification; control, on the basis of the event, the actuator such that the vibration notification is provided at a first period according to the heart rate data, which is lower than threshold heart rate data; and control the actuator such that the vibration notification is provided at a second period that is different from the first period according to the heart rate data, which is higher than the threshold heart rate data.

Description

Wearable device, method, and non-transitory computer-readable storage medium for providing vibration notification

[0001] The present disclosure relates to a wearable device, a method, and a non-transitory computer-readable storage medium for providing vibration notifications.

[0002] A wearable device can be worn on a user's body. The wearable device can provide various functions for the user's convenience. For example, the wearable device can provide a vibration notification to the user through an actuator. For example, the wearable device can identify an event that triggers the vibration notification. For example, the wearable device can obtain data through a sensor. For example, the wearable device can obtain biometric information through the sensor. For example, the wearable device can use the biometric information to provide functions for the user's convenience.

[0003] The above information may be provided as background art to aid in understanding the present disclosure.

[0004] No claim or determination is made as to whether any of the above is applicable as prior art to the present disclosure.

[0005] A wearable device is described. The wearable device may include a memory storing instructions and including one or more storage media. The wearable device may include a heart rate sensor. The wearable device may include an actuator. The wearable device may include at least one processor including a processing circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain heart rate data via the heart rate sensor. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to detect an event that causes a vibration notification. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification at a first cycle based on the event, according to the heart rate data being lower than a threshold heart rate data. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification at a second cycle different from the first cycle, based on the heart rate data being higher than the threshold heart rate data, based on the event.

[0006] A method is provided. The method can be executed in a wearable device having a heart rate sensor and an actuator. The method can include an operation of acquiring heart rate data through the heart rate sensor. The method can include an operation of detecting an event that causes a vibration notification. The method can include an operation of controlling the actuator to provide the vibration notification at a first cycle according to the heart rate data that is lower than a threshold heart rate data based on the event. The method can include an operation of controlling the actuator to provide the vibration notification at a second cycle different from the first cycle according to the heart rate data that is higher than the threshold heart rate data based on the event.

[0007] A non-transitory computer-readable storage medium is provided. The non-transitory computer-readable storage medium may store one or more programs. The one or more programs may include instructions that, when executed by a wearable device having a heart rate sensor and an actuator, cause the wearable device to obtain heart rate data via the heart rate sensor. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to detect an event that causes a vibration notification. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification at a first cycle according to the heart rate data being lower than a threshold heart rate data based on the event. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification at a second cycle different from the first cycle, based on the heart rate data being higher than the threshold heart rate data, based on the event.

[0008] A wearable device is described. The wearable device may include a memory storing instructions and including one or more storage media. The wearable device may include one or more motion sensors. The wearable device may include a heart rate sensor. The wearable device may include an actuator. The wearable device may include at least one processor including a processing circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain heart rate data via the heart rate sensor. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify whether a user of the wearable device is in an exercise state via the one or more motion sensors. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to detect an event that causes a vibration notification. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification in a first manner independent of the heart rate data being higher than the threshold heart rate data, based on the event detected while identifying the user as not being in the exercise state. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification in a second manner dependent on the heart rate data being higher than the threshold heart rate data, based on the event detected while identifying the user as being in the exercise state.

[0009] A method is provided. The method may be executed in a wearable device having one or more motion sensors, a heart rate sensor, and an actuator. The method may include acquiring heart rate data via the heart rate sensor. The method may include identifying whether a user of the wearable device is in an exercise state via the one or more motion sensors. The method may include detecting an event that causes a vibration notification. The method may include controlling the actuator to provide the vibration notification in a first manner independent of the heart rate data being higher than a threshold heart rate data based on the event detected while identifying the user is not in the exercise state. The method may include controlling the actuator to provide the vibration notification in a second manner dependent on the heart rate data being higher than the threshold heart rate data based on the event detected while identifying the user is in the exercise state.

[0010] A non-transitory computer-readable storage medium is provided. The non-transitory computer-readable storage medium may store one or more programs. The one or more programs may include instructions that, when executed by a wearable device having one or more motion sensors, a heart rate sensor, and an actuator, cause the wearable device to obtain heart rate data via the heart rate sensor. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify, via the one or more motion sensors, whether a user of the wearable device is in an exercise state. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to detect an event that causes a vibration notification. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification in a first manner independent of the heart rate data being higher than the threshold heart rate data, based on the event detected while identifying the user as not being in the exercise state. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification in a second manner dependent on the heart rate data being higher than the threshold heart rate data, based on the event detected while identifying the user as being in the exercise state.

[0011] Figure 1 illustrates an example of an environment including a wearable device.

[0012] Figure 2 is a simplified block diagram of an exemplary wearable device.

[0013] FIG. 3 is a flowchart illustrating an exemplary method for controlling an actuator to provide a vibration notification based on heart rate data.

[0014] Figure 4 illustrates an example in which the second cycle is determined based on heart rate data.

[0015] Figure 5 is a flowchart illustrating an exemplary method in which a second cycle is determined according to the type of exercise.

[0016] Figures 6 and 7 illustrate examples in which the second cycle is determined according to the type of exercise.

[0017] Figure 8 illustrates an example in which the pattern of vibration changes within the duration of the vibration notification.

[0018] FIG. 9 is a flowchart illustrating an exemplary method for controlling an actuator to provide a vibration notification depending on whether it is in an exercise state.

[0019] FIGS. 10A and 10B are flowcharts illustrating an exemplary method for providing a vibration notification.

[0020] FIG. 11 is a block diagram of an electronic device within a network environment according to various embodiments.

[0021] FIGS. 12A and 12B illustrate perspective views of an electronic device according to an embodiment.

[0022] FIG. 13 illustrates an exploded perspective view of an exemplary electronic device according to one embodiment.

[0023] Figure 1 illustrates an example of an environment including a wearable device.

[0024] Referring to FIG. 1, an environment (130) may include a wearable device (100) and a user (120). The wearable device (100) may be used to provide a vibration notification to the user (120). For example, the wearable device (100) may detect an event that triggers the vibration notification. For example, the event may include one of an alarm, an incoming call, a reminder, and a notification that a message has been received. However, the event is not limited thereto. For example, the event may include the expiration of a timer.

[0025] The wearable device (100) can be worn by a user (120). The user (120) can wear the wearable device (100). For example, the wearable device (100) can be used to obtain biometric information of the user (120) and then provide the biometric information to the user (120). For example, the wearable device (100) can identify whether the user (120) is in an exercise state. For example, the wearable device (100) can obtain motion data regarding the movement of the wearable device (100) through one or more motion sensors (e.g., one or more motion sensors (210) of FIG. 2). For example, the wearable device (100) can identify whether the user (120) is in an exercise state using the motion data.

[0026] The wearable device (100) may provide a vibration notification via an actuator (e.g., actuator (209) of FIG. 2). For example, the wearable device (100) may control the actuator to provide the vibration notification. For example, the wearable device (100) may provide the vibration notification based on identifying an event that causes the vibration notification. If the wearable device (100) identifies the event while identifying that the user (120) is in an exercise state, the wearable device (100) may provide the vibration notification. For example, the user (120) may not recognize the vibration notification because he or she is in an exercise state. For example, the user (120) may miss an important notification by not recognizing the vibration notification. The wearable device (100) may be required to provide a vibration notification that the user (120) can recognize. For example, the wearable device (100) may control the actuator to provide a vibration notification during a time when the user (120) in an exercise state has relatively little movement. For example, the wearable device (100) may use the heart rate data of the user (120) to identify whether the user (120) is in an exercise state. For example, the wearable device (100) may use the heart rate data of the user (120) to identify a time when the user (120) has relatively little movement. For example, the wearable device (100) may use the heart rate data to change the period for providing a vibration notification from a first period (e.g., the first period (410) of FIG. 4) to a second period (e.g., the second period (430) of FIG. 4) using the heart rate data. For example, the second period may be set according to a time when the user (120) has relatively little movement. For example, the wearable device (100) can change the method of providing vibration notification using heart rate data from the first method to the second method.

[0027] For example, the wearable device (100) may include hardware components used to perform or execute the above operations. The hardware components are described and exemplified with reference to FIG. 2.

[0028] Figure 2 is a simplified block diagram of an exemplary wearable device.

[0029] Referring to FIG. 2, a wearable device (100) may include at least one processor (207), a communication circuit (205), a heart rate sensor (208), an actuator (209), one or more motion sensors (210), and a memory (206).

[0030] At least one processor (207) may include a hardware component for processing data using instructions stored in the memory (206). The hardware component for processing data may include a central processing unit (CPU) (e.g., including processing circuitry). The hardware component for processing data may include a neural processing unit (NPU) (e.g., including processing circuitry).

[0031] At least one processor (207) may include one or more cores. For example, at least one processor (207) may have a multi-core processor structure such as a dual core, a quad core, or a hexa core.

[0032] The memory (206) may include hardware components for storing data and / or instructions input to and / or output from at least one processor (207). The memory (206) may include, for example, volatile memory such as random-access memory (RAM) and / or non-volatile memory such as read-only memory (ROM). The volatile memory may include, for example, at least one of dynamic RAM (DRAM), static RAM (SRAM), cache RAM, and pseudo SRAM (PSRAM). The non-volatile memory may include, for example, at least one of programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), flash memory, hard disk, compact disc, and embedded multimedia card (EMMC).

[0033] The communication circuit (205) may include hardware components for supporting transmission and / or reception of signals between the wearable device (100) and an external electronic device. The communication circuit (205) may include, for example, at least one of a modem, an antenna, and an optical / electronic (O / E) converter. The communication circuit (205) may support transmission and / or reception of signals based on various types of protocols, such as Ethernet, a local area network (LAN), a wide area network (WAN), wireless fidelity (WiFi), Bluetooth, Bluetooth low energy (BLE), zigbee, long term evolution (LTE), and 5G new radio (NR).

[0034] The heart rate sensor (208) may be used to acquire or measure heart rate data of a user of the wearable device (100). For example, the heart rate sensor (208) may include a photoplethysmography (PPG) sensor. For example, the heart rate sensor (208) may be used to change the frequency at which vibration notifications are provided. For example, the heart rate sensor (208) may be used to change the manner in which vibration notifications are provided.

[0035] The actuator (209) can be used to provide vibration. For example, the actuator (209) can convert electrical energy into kinetic energy. For example, the actuator (209) can provide vibration by being controlled by the wearable device (100). For example, the actuator (209) can generate vibration using electrical energy.

[0036] One or more motion sensors (210) may be used to obtain or measure motion data regarding the movement of the wearable device (100). For example, the one or more motion sensors (210) may include a gyro sensor. For example, the one or more motion sensors (210) may include an acceleration sensor. For example, the one or more motion sensors (210) may be used to identify whether the user (120) is in an exercise state using motion data. For example, the one or more motion sensors (210) may be used to obtain information regarding the movement of the wearable device (100). For example, the one or more motion sensors (210) may be used to obtain information regarding the rotation of the wearable device (100).

[0037] A heart rate sensor (208) may be used to acquire heart rate data. At least one processor (207) may identify an event that triggers a vibration notification. Based on the event, the at least one processor (207) may control the actuator (209) to provide a vibration notification in a first cycle (e.g., the first cycle (410) of FIG. 4) based on heart rate data lower than a threshold heart rate data. For example, based on the event, the at least one processor (207) may control the actuator (209) to provide a vibration notification in a second cycle (e.g., the second cycle (430) of FIG. 4) based on heart rate data higher than the threshold heart rate data. For example, the actuator (209) may be used to provide a vibration notification in the first cycle or the second cycle. For example, the actuator (209) may be used to provide a vibration notification in the first manner or the second manner.

[0038] FIG. 3 is a flowchart illustrating an exemplary method for controlling an actuator to provide a vibration notification based on heart rate data. This method may be executed by the wearable device (100) illustrated in FIG. 2 or at least one processor (207) of the wearable device (100).

[0039] Referring to FIG. 3, in operation 310, at least one processor (207) may obtain heart rate data through a heart rate sensor (208). For example, at least one processor (207) may obtain heart rate data of a user (120) wearing a wearable device (100) through the heart rate sensor (208).

[0040] In operation 320, at least one processor (207) may detect an event that triggers a vibration notification. For example, at least one processor (207) may identify an event that triggers a vibration notification. For example, the event may include at least one of an incoming call, a incoming message, an appointment time arriving, and / or a heart rate data acquired through a heart rate sensor (208) exceeding a threshold heart rate data. However, the present invention is not limited thereto.

[0041] At least one processor (207) may determine an electronic device to provide a vibration notification based on a priority. For example, at least one processor (207) may receive a first signal indicating that the first electronic device is worn by the user (120) from the first electronic device via the communication circuit (205). For example, the wearable device (100) may be connected to the first electronic device via a Bluetooth communication technique. For example, the wearable device (100) may be connected to the first electronic device via a WiFi (wireless fidelity) communication technique. For example, at least one processor (207) may determine a priority based on the wearing state of each of the first electronic device and the wearable device (100) based on receiving the first signal. For example, at least one processor (207) may identify the wearing state via a sensor. For example, the sensor may include a PPG sensor. For example, at least one processor (207) may acquire abnormal heart rate data while the wearable device (100) is worn on the user (120). For example, the abnormal heart rate data may be described as heart rate data that is much lower or much higher than the reference heart rate data. For example, at least one processor (207) may identify the wearing state of the wearable device (100) as an abnormal state based on the abnormal heart rate data. For example, the abnormal state may include a first state in which the wearable device (100) is worn abnormally. For example, the abnormal state may include a second state in which the function of the wearable device (100) is limited (or has a problem). For example, the first state may include a state in which the wearable device (100) is not fully worn on the user (120). For example, the first state may include a state in which data cannot be measured or acquired through a sensor.For example, the first state may include a state in which the wearable device (100) is improperly worn on a part of the body. For example, the first state may include a state in which the wearable device (100) is loosely worn on the body of the user (120). For example, the second state may include a state in which the connection with another electronic device is lost. For example, the second state may include a state in which the state of charge (SoC) of the battery of the wearable device (100) is below a threshold SoC.

[0042] For example, at least one processor (207) may determine a second electronic device to provide a vibration notification in a second cycle (e.g., the second cycle (430) of FIG. 4) among the first electronic device and the wearable device (100) based on the event and the priority. However, the present invention is not limited thereto. For example, at least one processor (207) may determine a second electronic device to provide a vibration notification in a second cycle based on identifying that the state of the wearable device (100) is abnormal. For example, the second electronic device may include the first electronic device. However, the present invention is not limited thereto. The second electronic device may include the wearable device (100). For example, the at least one processor (207) may transmit a second signal to the second electronic device through the communication circuit (205), which causes the second electronic device to provide a vibration notification in a second cycle. For example, the second electronic device may provide a vibration notification based on receiving a second signal via a communication circuit (not shown) of the second electronic device. For example, the second electronic device may control an actuator (not shown) of the second electronic device to provide a vibration notification at a second cycle based on receiving the second signal.

[0043] In operation 330, at least one processor (207) can identify whether the heart rate data acquired through the heart rate sensor (208) is higher than the threshold heart rate data. For example, at least one processor (207) can compare the magnitude of the heart rate data with the threshold heart rate data. At least one processor (207) can execute operation 335 under a condition that the heart rate data is lower than the threshold heart rate data, and can execute operation 340 under a condition that the heart rate data is higher than the threshold heart rate data. For example, at least one processor (207) can execute operation 335 under a condition that the heart rate data is equal to the threshold heart rate data. However, the present invention is not limited thereto. For example, at least one processor (207) can execute operation 340 under a condition that the heart rate data is equal to the threshold heart rate data.

[0044] In operation 335, at least one processor (207) may control an actuator (209) to provide a vibration notification at a first cycle (e.g., the first cycle (410) of FIG. 4) based on the event and according to heart rate data lower than the threshold heart rate data. For example, the first cycle may be described as a cycle for providing a vibration notification independently of the heart rate data. For example, the first cycle may be referred to as a basic cycle or a general cycle. For example, the first cycle may be described as a preset time (e.g., 1 minute). For example, at least one processor (207) may control an actuator (209) to provide a vibration notification at a cycle independent of the heart rate data based on detecting an event. For example, at least one processor (207) may control an actuator (209) to provide a vibration notification every minute based on detecting an event. For example, the critical heart rate data may include first critical heart rate data and second critical heart rate data, but is not limited thereto. For example, the critical heart rate data may include third critical heart rate data. For example, the critical heart rate data may be determined based on the age and / or weight of the user (120). For example, the critical heart rate data may be personalized based on the age and / or weight of the user (120).

[0045] In operation 340, at least one processor (207) may control an actuator (209) to provide a vibration notification at a second cycle (e.g., the second cycle (430) of FIG. 4) based on the event and according to heart rate data higher than the threshold heart rate data. For example, the second cycle may be described as a cycle for providing a vibration notification dependent on the heart rate data. For example, the second cycle may be referred to as a heart rate cycle or a movement cycle. For example, the second cycle may be described as a time that changes depending on the heart rate data. For example, at least one processor (207) may control an actuator (209) to provide a vibration notification at a cycle dependent on the heart rate data based on detecting an event. For example, at least one processor (207) may control an actuator (209) to provide a vibration notification at a time when the user (120) identified by the heart rate data has little movement based on detecting an event. For example, the cycle for providing a vibration notification may be included in the method for providing a vibration notification. The first cycle and the second cycle are described and illustrated in more detail with reference to FIG. 4.

[0046] Figure 4 illustrates an example in which the second cycle is determined based on heart rate data.

[0047] Referring to FIG. 4, a section (401) may be described as a section in which at least one processor (207) provides a vibration notification in a first cycle (410). For example, the cycle may be described as an interval of time at which a vibration notification starts. For example, at least one processor (207) may control an actuator (209) to provide a vibration notification independently of the heart rate data of the user (120) in the section (401). For example, at least one processor (207) may control an actuator (209) to provide a vibration notification independently of whether the user (120) is in an exercise state in the section (401). For example, when providing a vibration notification, at least one processor (207) may provide the vibration notification for a time duration (420). For example, the time duration (420) may be described as a predetermined time. For example, since at least one processor (207) provides a vibration notification in the first cycle (410), at least one processor (207) may provide a vibration notification in the section (462). For example, the section (462) may be described as a section in which the user's (120's) movement is relatively large. For example, the section (462) may include a section in which the motion data acquired through one or more motion sensors (210) is outside a reference range. For example, the user (120) may not recognize the vibration notification of the at least one processor (207) in the section (462) because the user is in an exercise state. For example, since at least one processor (207) provides a vibration notification in the first cycle (410), at least a portion of the duration (420) may overlap with the section (464). For example, the section (464) may include a section in which the user's (120's) movement is relatively small. For example, the section (464) may include a section in which motion data acquired through one or more motion sensors (210) is within a reference range.For example, the user (120) may recognize the vibration notification of at least one processor (207) because the user (120) is not in an exercise state in section (464). For example, the likelihood that the user (120) will recognize the vibration notification provided in section (464) may be higher than the likelihood that the user (120) will recognize the vibration notification provided in section (462).

[0048] The section (403) may be described as a section in which at least one processor (207) provides a vibration notification in a second cycle (430). For example, the at least one processor (207) may determine the second cycle (430) using heart rate data. For example, the at least one processor (207) may determine the second cycle (430) using motion data acquired through one or more motion sensors (210). For example, the at least one processor (207) may identify a pattern of movement performed by the user (120) using the heart rate data and the motion data. For example, the pattern of movement may be described as a set of repeated movements while the user (120) performs the movement. For example, if the user (120) performs a movement that repeats a first movement and a second movement, the pattern of movement may include the first movement and the second movement. For example, when a user (120) runs, a motion of swinging the user's (120) arms and legs back and forth may be included in the movement pattern. For example, at least one processor (207) may analyze heart rate data and motion data to determine a second cycle (430). For example, at least one processor (207) may identify a pattern of movement performed by the user (120) using heart rate data and motion data acquired over a predetermined period of time, and then determine the second cycle (430) to correspond to the pattern. For example, at least one processor (207) may determine the start point of the second cycle (430) as a point in time when the movement relatively decreases in the movement pattern of the user (120). For example, at least one processor (207) may determine the end point of the second cycle (430) as a point in time when the movement relatively increases in the movement pattern of the user (120).For example, at least one processor (207) may determine a point in time when the movement of the user (120) relatively decreases and a point in time when the movement relatively increases using motion data and heart rate data. For example, at least one processor (207) may determine a cycle for providing a vibration notification in the cycle (403) as a second cycle (430-1) using the motion data and heart rate data acquired in the section (401). For example, when the user (120) runs, the second cycle (430-1) may be set according to the time during which both legs of the user (120) are in the air. For example, when the user (120) swims, the second cycle (430-1) may be set according to the time during which a part (e.g., a hand) of the user (120) wearing the wearable device (100) is out of the water. For example, the second cycle (430-1) can be set according to the course of the interval exercise when the interval exercise is performed by the user (120).

[0049] Section (405) can be described as a section in which heart rate data higher than the heart rate data of the user (120) obtained in section (403) is obtained. For example, at least one processor (207) can provide a vibration notification in the second cycle (430-2) based on the heart rate data and motion data obtained in section (403). For example, at least one processor (207) can obtain heart rate data higher than the heart rate data obtained in section (403) in section (405). At least one processor (207) can determine the intensity (450) of the vibration notification based on the heart rate data in section (405). For example, the intensity of the vibration notification provided by at least one processor (207) in section (403) can be stronger than the intensity of the vibration notification provided by at least one processor (207) in section (405). However, the present invention is not limited thereto. For example, the intensity of the vibration notification provided by at least one processor (207) in section (403) may be weaker than the intensity of the vibration notification provided by at least one processor (207) in section (405).

[0050] At least one processor (207) can identify a motion of a user (120). For example, the at least one processor (207) can determine the intensity of a vibration notification based on the identified motion. For example, the at least one processor (207) can control the actuator (209) to provide a vibration notification with the intensity of the determined vibration notification. For example, the at least one processor (207) can obtain first motion data lower than a threshold motion data through one or more motion sensors (210). For example, the at least one processor (207) can obtain second motion data higher than the threshold motion data through one or more motion sensors (210). For example, the at least one processor (207) can identify a first motion corresponding to the first motion data among the motions performed by the user (120). For example, the at least one processor (207) can identify a second motion corresponding to the second motion among the motions performed by the user (120). For example, at least one processor (207) may control the actuator (209) to provide a vibration notification with a second intensity higher than the first intensity of the vibration notification provided based on identifying the first motion, based on identifying the second motion. For example, the first motion may be described as a motion with a relatively small movement among motions for exercise performed by the user (120). For example, the second motion may be described as a motion with a relatively large movement among motions for exercise performed by the user (120). For example, since the second motion is a more intense motion than the first motion, the second motion data corresponding to the second motion may be higher than the first motion data corresponding to the first motion. For example, the at least one processor (207) may identify the first motion and the second motion based on whether the amount of change in heart rate data for a predetermined period of time (e.g., 1 minute) is within a reference range.For example, at least one processor (207) may determine the reference range using heart rate data and motion data. For example, when the user (120) walks, the reference range for walking may be different from the reference range for running when the user (120) runs.

[0051] Section (407) can be described as a section in which heart rate data higher than the heart rate data of the user (120) obtained in section (405) is obtained. For example, at least one processor (207) can provide a vibration notification in the second cycle (430-3) based on the heart rate data and motion data obtained in section (405). For example, at least one processor (207) can obtain heart rate data higher than the heart rate data obtained in section (403) in section (407). For example, at least one processor (207) can provide an interval (440) during the duration of the vibration notification in section (407). For example, at least one processor (207) can change the method of providing the vibration notification. For example, at least one processor (207) can cause the user (120) to recognize the vibration notification by using the interval (440).

[0052] The section (409) may be described as a section in which lower heart rate data is obtained than the heart rate data of the user (120) obtained in the section (407). For example, the section (409) may be described as a section in which the movement of the user (120) is relatively less than the movement of the user (120) in the section (407). At least one processor (207) may determine a second cycle (430) for providing a vibration notification using the motion data and heart rate data obtained in the section (409). For example, at least one processor (207) may control the actuator (209) to provide a vibration notification at the determined second cycle (430). For example, at least one processor (207) may determine the intensity (450) of the vibration notification in the section (409) using the motion data and heart rate data.

[0053] At least one processor (207) may determine the second cycle (430) using motion data before providing a vibration notification. However, the present invention is not limited thereto. For example, while acquiring motion data and heart rate data, the at least one processor (207) may identify a state of relatively little movement among the states of the user (120). For example, based on the identification of a state of relatively little movement among the states of the user (120), the at least one processor (207) may control the actuator (209) to provide a vibration notification to the state. For example, the at least one processor (207) may identify a state of relatively little movement of the user (120) using motion data or heart rate data. For example, the at least one processor (207) may determine a time point corresponding to a state of relatively little movement of the user (120) as a starting point for providing a vibration notification. For example, at least one processor (207) may determine a point in time corresponding to a state in which the user's (120's) movement begins to relatively increase as an ending point for providing a vibration notification. For example, while identifying that the user's (120's) movement is relatively small, the at least one processor (207) may control the actuator (209) to provide a vibration notification in real time based on identifying that the user's (120's) movement is relatively small. For example, if the at least one processor (207) identifies that the user's (120's) movement is relatively small, the at least one processor (207) may provide a vibration notification in a second cycle (430). For example, if the at least one processor (207) identifies that the user's (120's) movement is relatively small, the at least one processor (207) may provide a vibration notification in a second manner. For example, the at least one processor (207) may control the actuator (209) to control the vibration notification from a starting point to an ending point.For example, at least one processor (207) may determine a duration (420) for which the user's (120) movement remains relatively low.

[0054] At least one processor (207) can use motion data to identify a type of movement performed by a user (120) of the wearable device (100). At least one processor (207) can use the identified type and type data to determine a second cycle (430). The types of movement are described and exemplified in more detail with reference to FIG. 5.

[0055] Figure 5 is a flowchart illustrating an exemplary method in which a second cycle is determined according to the type of exercise.

[0056] Referring to FIG. 5, at operation 510, at least one processor (207) may receive user input for selecting a type of exercise to be performed by a user (120) of the wearable device (100). For example, the type of exercise may be referred to as a type of exercise. For example, the type of exercise may include, but is not limited to, walking, running, elliptical, rowing machine, swimming, cycling, etc.

[0057] In operation 520, at least one processor (207) may identify a type of exercise in response to a user input. For example, based on a user input selecting walking, at least one processor (207) may identify that the type of exercise performed by the user (120) is walking.

[0058] In operation 530, at least one processor (207) may determine a second cycle (430) using type data for the identified type. For example, the type data may be described as data for each exercise. For example, the type data may include heart rate data or motion data for walking. For example, the type data may include heart rate data or motion data for running. For example, the type data may include heart rate data and motion data for swimming. However, the present invention is not limited thereto. For example, the type data may include heart rate data or motion data for cycling. For example, at least one processor (207) may identify a pattern of exercise performed by the user (120) using the type data. For example, information about the pattern of exercise may include information about when the user (120) moves relatively more and when the user (120) moves relatively less. For example, at least one processor (207) can identify the pattern of the movement by comparing motion data acquired through one or more motion sensors (210) and heart rate data acquired through a heart rate sensor (208). At least one processor (207) can determine the second cycle (430) by identifying the pattern.

[0059] At least one processor (207) may determine the second cycle (430) using type data based on a user input selecting a type of exercise. However, the present invention is not limited thereto. For example, the at least one processor (207) may determine the second cycle (430) by identifying a pattern of exercise of the user (120) using motion data and heart rate data. For example, the at least one processor (207) may obtain motion data of the wearable device (100) through one or more motion sensors (210). For example, the at least one processor (207) may use the motion data to identify a type of exercise performed by the user (120) of the wearable device (100). For example, the at least one processor (207) may use the motion data to identify whether the user (120) is walking. For example, the at least one processor (207) may use the motion data to identify whether the user (120) is running. For example, at least one processor (207) may use motion data to identify whether swimming is being performed. For example, at least one processor (207) may determine a second cycle (430) based on the identified type. The determination of the second cycle (430) is described and illustrated in more detail with reference to FIGS. 6 and 7.

[0060] Figures 6 and 7 illustrate examples in which the second cycle is determined according to the type of exercise.

[0061] Referring to FIG. 6, states (602) to (618) may be described as states in which a user (120) wearing a wearable device (100) is running. For example, states (602) to (618) may be described as states expressing the user's (120) movements over time. For example, while the user (120) is running, the user (120) may change states over time. The state of the user (120) may express a change in the user's (120) posture over time. For example, the user's (120) posture may change from a first posture to a second posture over time. At least one processor (207) may acquire motion data through one or more motion sensors (210) while the state of the user (120) is changing. For example, at least one processor (207) may obtain heart rate data via the heart rate sensor (208) while the state of the user (120) changes. For example, at least one processor (207) may determine a timing to provide a vibration notification to the user (120) using the motion data and the heart rate data. For example, at least one processor (207) may determine a cycle to provide a vibration notification using the motion data and the heart rate data. For example, at least one processor (207) may control the actuator (209) to provide a vibration notification at a second cycle (430) by analyzing the posture of the user (120) using the motion data and the heart rate data.

[0062] For example, at least one processor (207) may refrain from or skip providing a vibration notification when the state of the user (120) is state (602), state (604), state (606), state (608), and state (610). For example, the user (120) may be unable to recognize a vibration notification provided by the wearable device (100) when the state of the user (120) is state (602), state (604), state (606), state (608), and state (610). For example, when the state of the user (120) is state (602), state (604), state (606), state (608), and state (610), the user (120) may be unable to recognize a vibration notification provided by the wearable device (100) because one of the user's (120's) feet is pushing off the ground.

[0063] For example, at least one processor (207) may control the actuator (209) to provide a vibration notification when the state of the user (120) is state (612) and state (614). For example, the user (120) may recognize the vibration notification provided by the wearable device (100) when the state of the user (120) is state (612) and state (614). For example, when the state of the user (120) is state (612) and state (614), the user (120) may recognize the vibration notification provided by the wearable device (100) because both feet of the user (120) are in the air. For example, while the user (120) is running, the time during which the state (612) and state (614) are maintained may be 1 second. For example, while the user (120) is running, the time that the states (602), (604), (606), (608), and (610) are maintained may be 1 second. For example, at least one processor (207) may control the actuator (209) to provide a vibration notification every 2 seconds. For example, the second period (430) may be set to 2 seconds. However, the present invention is not limited thereto. At least one processor (207) may provide a vibration notification while the states of the user (120) are the states (602), (604), (606), (608), and (610).

[0064] For example, at least one processor (207) may control the actuator (209) to provide a vibration notification at a timing perceptible to the user (120) while the user (120) is running. For example, the at least one processor (207) may determine a timing to provide the vibration notification based on a type of exercise performed by the user (120). For example, the at least one processor (207) may determine the second cycle (430) based on a type of exercise performed by the user (120). For example, the at least one processor (207) may determine the second cycle (430) based on a type of exercise determined using motion data.

[0065] Referring to FIG. 7, state (710) may be described as a state in which a user (120) wearing a wearable device (100) performs strength training. For example, state (710) may be described as a state in which the user's (120) muscles are relaxed while the user performs strength training. For example, state (720) may be described as a state in which the user's (120) muscles are contracted while the user performs strength training. For example, while the user (120) performs strength training, the user's (120) states may be repeated between state (710) and state (720).

[0066] At least one processor (207) may determine a timing for providing a vibration notification to provide a vibration notification that can be recognized by the user (120). For example, at least one processor (207) may determine a second cycle (430) to provide a vibration notification at the timing. For example, when the state of the user (120) is between the state (710) and the state (720), the user (120) may not be able to recognize the vibration notification provided by the wearable device (100). For example, when the user (120) moves significantly, the user (120) may not be able to recognize the vibration notification. For example, when the user (120) is concentrating on exercising, the user (120) may not be able to recognize the vibration notification. For example, the wearable device (100) may be required to provide a vibration notification in state (710) or state (720) to notify the user (120) of the vibration notification.

[0067] At least one processor (207) can determine the second period (430) by measuring the time it takes to reach a state (710) from a state (720) and then return from a state (720) to a state (710). For example, if the time is 4 seconds, the at least one processor (207) can determine 4 seconds as the second period (430). For example, the at least one processor (207) can control the actuator (209) to provide a vibration notification every 4 seconds.

[0068] The wearable device (100) may further include a microphone (not shown). For example, at least one processor (207) may identify the breathing of the user (120) through the microphone. For example, at least one processor (207) may identify the inhalation and exhalation of the user (120) through the microphone. For example, at least one processor (207) may control the actuator (209) to provide a vibration notification based on identifying the inhalation of the user (120). For example, at least one processor (207) may control the actuator (209) to provide a vibration notification based on identifying the exhalation of the user (120). For example, while the user (120) performs strength training, the breathing of the user (120) may be related to the movement of the user (120). For example, while the user (120) is inhaling, the state of the user (120) may include a state of minimal movement. For example, while the user (120) is exhaling, the state of the user (120) may include a state of minimal movement. For example, at least one processor (207) may provide a vibration notification in a second manner based on identifying the inhalation of the user (120).

[0069] For example, at least one processor (207) may control an actuator (209) to provide a vibration notification in one of states (710) and (720). However, this is not limited thereto. At least one processor (207) may control an actuator (209) to provide a vibration notification in one of states (710) and (720).

[0070] At least one processor (207) may control an actuator (209) to provide a vibration notification for a duration (420). For example, at least one processor (207) may provide a vibration notification according to a pattern of vibration notification for the duration (420). The pattern of vibration is described and exemplified in more detail with reference to FIG. 8.

[0071] Figure 8 illustrates an example in which the pattern of vibration changes within the duration of the vibration notification.

[0072] Referring to FIG. 8, at least one processor (207) may provide a vibration notification in a predetermined vibration notification pattern. For example, the vibration notification pattern may be referred to as a vibration pattern, a vibration notification pattern, or a vibration pattern. For example, the vibration notification pattern may be described in terms of the manner in which vibrations are provided by the actuator (209) within a duration (420). For example, the vibration notification pattern may be determined based on the temporary interruption of the vibration notification within the duration (420) during which the vibration notification is provided. For example, the vibration notification pattern may be determined based on the time during which the vibration notification is temporarily interrupted within the duration (420). However, the present invention is not limited thereto. For example, the vibration notification pattern may be determined based on a change in the intensity (450) of the vibration notification. For example, the intensity (450) of the vibration notification may change during the duration (420). For example, the intensity (450) of a vibration notification can become stronger or weaker over the duration (420).

[0073] For example, state (810) may be described as a state in which a vibration notification is maintained for a duration (420). For example, state (820) may be described as a state in which the vibration notification is interrupted once during the duration (420) and then the provision of the vibration notification is resumed. For example, state (830) may be described as a state in which the vibration notification is interrupted twice during the duration (420) and then the provision of the vibration notification is resumed.

[0074] At least one processor (207) may determine a pattern of vibration notification based on the type of exercise identified. For example, at least one processor (207) may provide a vibration notification in the pattern of vibration notification of state (810) while the user (120) is running. For example, at least one processor (207) may provide a vibration notification in the pattern of vibration notification of state (830) while the user (120) is swimming. Since at least one processor (207) provides a vibration notification in the pattern of vibration notification corresponding to the type of exercise, the user (120) can effectively recognize the vibration notification.

[0075] At least one processor (207) can use motion data to identify whether a user (120) of the wearable device (100) is in an exercise state. The at least one processor (207) can control an actuator (209) to provide a vibration notification in a second manner different from the first manner based on whether the user (120) is in an exercise state. Identifying whether the user (120) is in an exercise state and the second manner are described and exemplified in more detail with reference to FIG. 9.

[0076] FIG. 9 is a flowchart illustrating an exemplary method for controlling an actuator to provide a vibration notification depending on whether it is in an exercise state.

[0077] Referring to FIG. 9, in operation 910, at least one processor (207) may obtain heart rate data via a heart rate sensor (208). For example, operation 910 may correspond to operation 310.

[0078] In operation 920, at least one processor (207) may identify whether a user (120) of the wearable device (100) is in an exercise state through one or more motion sensors (210). For example, at least one processor (207) may identify whether the user (120) is in an exercise state using motion data and heart rate data acquired through one or more motion sensors (210). For example, at least one processor (207) may acquire motion data based on actions performed by the user (120) through one or more motion sensors (210).

[0079] At operation 930, at least one processor (207) may detect an event that causes a vibration notification. For example, operation 930 may correspond to operation 320.

[0080] At operation 940, at least one processor (207) can execute operation 950 on the condition that the user (120) is in an exercise state, and can execute operation 945 on the condition that the user (120) is not in an exercise state.

[0081] In operation 945, at least one processor (207) may control the actuator (209) to provide a vibration notification in a first manner independent of heart rate data higher than the threshold heart rate data based on an event detected while identifying that the user (120) is not in an exercise state. For example, the at least one processor (207) may provide the vibration notification in the first manner by identifying that the user (120) is not in an exercise state. For example, the first manner may be described as providing the vibration notification independently of whether the user (120) is in an exercise state. For example, when the at least one processor (207) provides the vibration notification in the first manner, the cycle for providing the vibration notification may include the first cycle (410).

[0082] At operation 950, at least one processor (207) may control the actuator (209) to provide a vibration notification in a second manner based on a heart rate data higher than the threshold heart rate data, based on an event detected while identifying that the user (120) is in an exercise state. For example, the at least one processor (207) may provide a vibration notification in the second manner by identifying that the user (120) is in an exercise state. For example, the second manner may be described as a manner in which the at least one processor (207) provides a vibration notification in a different manner than the first manner based on identifying that the user (120) is in an exercise state. For example, the second manner may be described as a manner in which the at least one processor (207) identifies a first action corresponding to motion data lower than the threshold motion data and a second action corresponding to motion data higher than the threshold motion data among actions performed by the user (120), and then provides a vibration notification differently for each of the first action and the second action. For example, the method of providing a vibration notification may include a cycle for providing the vibration notification. For example, if at least one processor (207) provides a vibration notification in a second manner, the cycle for providing the vibration notification may include a second cycle (430). The process for providing the vibration notification is described and illustrated in more detail with reference to FIGS. 10A and 10B.

[0083] FIGS. 10A and 10B are flowcharts illustrating an exemplary method for providing a vibration notification.

[0084] Referring to FIG. 10A, in operation 1010, at least one processor (207) may identify that a user (120) is wearing a wearable device (100). For example, at least one processor (207) may identify whether a user (120) is wearing a wearable device (100) through a PPG sensor.

[0085] In operation 1020, at least one processor (207) may obtain motion data via one or more motion sensors (210). For example, the motion data may be used to indicate movement of the wearable device (100).

[0086] In operation 1030, at least one processor (207) can execute operation 1032 on the condition that the type of exercise performed by the user (120) can be identified, and can execute operation 1034 on the condition that the type of exercise performed by the user (120) cannot be identified. For example, the at least one processor (207) can identify the type of exercise performed by the user (120) using motion data. However, the present invention is not limited thereto. The at least one processor (207) can identify the type of exercise based on receiving a user input for selecting the type of exercise.

[0087] In operation 1032, at least one processor (207) may obtain intensity, cadence, and stroke of a movement performed by the user (120) using the type data. For example, cadence may be described as the number of repeated movements over a predetermined period of time. For example, strokes may be referred to as stroke data. For example, stroke data may be described as data obtained through one or more motion sensors (210) while performing a movement. For example, at least one processor (207) may identify a movement of the user (120) corresponding to the motion data by comparing the motion data with the type data. For example, at least one processor (207) may identify a movement of the user (120) indicated by the motion data by analyzing the motion data and the type data.

[0088] In operation 1034, at least one processor (207) can identify the intensity of movement performed by the user (120) using motion data acquired through one or more motion sensors (210).

[0089] In operation 1040, at least one processor (207) may identify a section of low movement of the user (120). For example, the at least one processor (207) may use motion data to identify a first motion having a relatively low intensity of movement and a second motion having a relatively high intensity of movement of the user (120). For example, the at least one processor (207) may identify whether the motion data exceeds a threshold motion data. For example, the at least one processor (207) may identify a motion corresponding to motion data lower than the threshold motion data as a first motion. For example, the at least one processor (207) may identify a motion corresponding to motion data higher than the threshold motion data as a second motion.

[0090] In operation 1042, at least one processor (207) may determine a cycle of the vibration notification. For example, at least one processor (207) may determine the cycle of the vibration notification as a first cycle (410) based on heart rate data lower than a threshold heart rate data. For example, at least one processor (207) may determine the cycle of the vibration notification as a second cycle (430) based on heart rate data higher than the threshold heart rate data. For example, at least one processor (207) may determine a method for providing the vibration notification. For example, at least one processor (207) may determine a method for providing the vibration notification as one of a first method including a first cycle (410) and a second method including a second cycle (430). For example, at least one processor (207) may determine the method by identifying whether the user (120) is in an exercise state. For example, at least one processor (207) may determine the method based on heart rate data.

[0091] In operation 1044, at least one processor (207) may identify or detect an event that causes a vibration notification. For example, the event may include receiving a message or obtaining biometric information indicating an abnormal condition.

[0092] In operation 1050, at least one processor (207) may execute operation 1052 on the condition that the user (120) is in an exercise state, and execute operation 1080 on the condition that the user (120) is not in an exercise state. For example, at least one processor (207) may identify whether the user (120) is in an exercise state. For example, at least one processor (207) may identify whether the user (120) is in an exercise state using motion data.

[0093] In operation 1052, at least one processor (207) may determine the importance of a notification. For example, at least one processor (207) may identify the importance of a notification using information stored in the memory (206). For example, at least one processor (207) may determine the importance of a notification based on a predetermined importance. For example, at least one processor (207) may determine the importance of a notification based on receipt of a user input that determines the importance of a notification. For example, in the case of a call received from an external electronic device corresponding to a phone number stored in the memory (206), at least one processor (207) may determine the importance of a notification regarding the reception of the call to be high. For example, at least one processor (207) may set the importance of a notification previously provided to the user (120) and not recognized by the user (120) to be higher than the importance of a notification provided for the first time. For example, at least one processor (207) may determine the intensity of a vibration notification based on the importance of the notification. For example, at least one processor (207) may determine that the intensity of the vibration notification is higher as the importance of the notification increases.

[0094] In operation 1054, at least one processor (207) may identify the intensity of the movement and heart rate data. For example, at least one processor (207) may identify the intensity of the movement using motion data. For example, at least one processor (207) may identify or obtain heart rate data through a heart rate sensor (208).

[0095] In operation 1060, at least one processor (207) may determine the intensity of the vibration notification using the intensity of the exercise and heart rate data. For example, at least one processor (207) may control an actuator (209) to provide a strong vibration notification while the user (120) is performing vigorous exercise. For example, at least one processor (207) may control an actuator (209) to provide a weak vibration notification while the user (120) is performing light exercise.

[0096] In operation 1070, at least one processor (207) may determine an electronic device to provide a vibration notification. For example, at least one processor (207) may identify that the wearable device (100) and the first electronic device are worn. For example, at least one processor (207) may identify a wearing state of the first electronic device and a wearing state of the wearable device (100). For example, at least one processor (207) may identify a wearing state of the wearable device (100) through a PPG sensor. For example, at least one processor (207) may identify a wearing state of the first electronic device using a first signal received from the first electronic device through the communication circuit (205). For example, at least one processor (207) may determine a second electronic device to provide a vibration notification based on the wearing state. For example, the second electronic device may include the first electronic device. For example, the second electronic device may include the wearable device (100). For example, at least one processor (207) may transmit a second signal to the second electronic device via the communication circuit (205) that causes the second electronic device to provide a vibration notification.

[0097] In operation 1080, at least one processor (207) may provide a vibration notification. For example, at least one processor (207) may control an actuator (209) to provide the vibration notification. For example, at least one processor (207) may provide the vibration notification at a second cycle. For example, at least one processor (207) may provide the vibration notification in a second manner. For example, at least one processor (207) may provide the vibration notification at a second cycle and with the determined vibration notification intensity. For example, at least one processor (207) may provide the vibration notification according to a pattern of the vibration notification based on the type of exercise performed by the user (120).

[0098] FIG. 11 is a block diagram of an electronic device within a network environment according to various embodiments.

[0099] FIG. 11 is a block diagram of an electronic device (1101) within a network environment (1100) according to various embodiments. Referring to FIG. 11, in the network environment (1100), the electronic device (1101) may communicate with the electronic device (1102) via a first network (1198) (e.g., a short-range wireless communication network), or may communicate with at least one of the electronic device (1104) or the server (1108) via a second network (1199) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (1101) may communicate with the electronic device (1104) via the server (1108). According to one embodiment, the electronic device (1101) may include a processor (1120), a memory (1130), an input module (1150), an audio output module (1155), a display module (1160), an audio module (1170), a sensor module (1176), an interface (1177), a connection terminal (1178), a haptic module (1179), a camera module (1180), a power management module (1188), a battery (1189), a communication module (1190), a subscriber identification module (1196), or an antenna module (1197). In some embodiments, the electronic device (1101) may omit at least one of these components (e.g., the connection terminal (1178)), or may have one or more other components added. In some embodiments, some of these components (e.g., sensor module (1176), camera module (1180), or antenna module (1197)) may be integrated into a single component (e.g., display module (1160)).

[0100] The processor (1120) may, for example, execute software (e.g., a program (1140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (1101) connected to the processor (1120) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (1120) may store commands or data received from other components (e.g., a sensor module (1176) or a communication module (1190)) in a volatile memory (1132), process the commands or data stored in the volatile memory (1132), and store result data in a non-volatile memory (1134). According to one embodiment, the processor (1120) may include a main processor (1121) (e.g., a central processing unit or an application processor) or an auxiliary processor (1123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (1121). For example, when the electronic device (1101) includes the main processor (1121) and the auxiliary processor (1123), the auxiliary processor (1123) may be configured to use less power than the main processor (1121) or to be specialized for a given function. The auxiliary processor (1123) may be implemented separately from the main processor (1121) or as a part thereof.

[0101] The auxiliary processor (1123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (1160), a sensor module (1176), or a communication module (1190)) of the electronic device (1101), for example, on behalf of the main processor (1121) while the main processor (1121) is in an inactive (e.g., sleep) state, or together with the main processor (1121) while the main processor (1121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (1123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (1180) or a communication module (1190)). In one embodiment, the auxiliary processor (1123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, on the electronic device (1101) itself where the artificial intelligence model is executed, or can be performed through a separate server (e.g., server (1108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0102] The memory (1130) can store various data used by at least one component (e.g., the processor (1120) or the sensor module (1176)) of the electronic device (1101). The data can include, for example, software (e.g., the program (1140)) and input data or output data for commands related thereto. The memory (1130) can include a volatile memory (1132) or a non-volatile memory (1134).

[0103] The program (1140) may be stored as software in memory (1130) and may include, for example, an operating system (1142), middleware (1144), or an application (1146).

[0104] The input module (1150) can receive commands or data to be used in a component of the electronic device (1101) (e.g., a processor (1120)) from an external source (e.g., a user) of the electronic device (1101). The input module (1150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0105] The audio output module (1155) can output audio signals to the outside of the electronic device (1101). The audio output module (1155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0106] The display module (1160) can visually provide information to an external party (e.g., a user) of the electronic device (1101). The display module (1160) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. In one embodiment, the display module (1160) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

[0107] The audio module (1170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (1170) can acquire sound through the input module (1150), output sound through the sound output module (1155), or an external electronic device (e.g., electronic device (1102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (1101).

[0108] The sensor module (1176) can detect the operating status (e.g., power or temperature) of the electronic device (1101) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (1176) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0109] The interface (1177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (1101) with an external electronic device (e.g., the electronic device (1102)). In one embodiment, the interface (1177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0110] The connection terminal (1178) may include a connector through which the electronic device (1101) may be physically connected to an external electronic device (e.g., the electronic device (1102)). In one embodiment, the connection terminal (1178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0111] The haptic module (1179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. In one embodiment, the haptic module (1179) may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0112] The camera module (1180) can capture still images and videos. In one embodiment, the camera module (1180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0113] The power management module (1188) can manage the power supplied to the electronic device (1101). According to one embodiment, the power management module (1188) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0114] A battery (1189) may power at least one component of the electronic device (1101). In one embodiment, the battery (1189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0115] The communication module (1190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (1101) and an external electronic device (e.g., electronic device (1102), electronic device (1104), or server (1108)), and the performance of communication through the established communication channel. The communication module (1190) may operate independently from the processor (1120) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (1190) may include a wireless communication module (1192) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (1194) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, a corresponding communication module can communicate with an external electronic device (1104) via a first network (1198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (1199) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (1192) can verify or authenticate the electronic device (1101) within a communication network such as the first network (1198) or the second network (1199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (1196).

[0116] The wireless communication module (1192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (1192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (1192) may support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (1192) may support various requirements specified in the electronic device (1101), an external electronic device (e.g., the electronic device (1104)), or a network system (e.g., the second network (1199)). According to one embodiment, the wireless communication module (1192) may support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0117] The antenna module (1197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (1197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (1197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (1198) or the second network (1199), may be selected from the plurality of antennas by, for example, the communication module (1190). A signal or power may be transmitted or received between the communication module (1190) and an external electronic device via the selected at least one antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (1197).

[0118] According to various embodiments, the antenna module (1197) may form a mmWave antenna module. In one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band.

[0119] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0120] According to one embodiment, commands or data may be transmitted or received between the electronic device (1101) and an external electronic device (1104) via a server (1108) connected to a second network (1199). Each of the external electronic devices (1102 or 1104) may be the same or a different type of device as the electronic device (1101). According to one embodiment, all or part of the operations executed in the electronic device (1101) may be executed in one or more of the external electronic devices (1102, 1104, or 1108). For example, when the electronic device (1101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (1101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (1101). The electronic device (1101) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (1101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (1104) may include an Internet of Things (IoT) device. The server (1108) may be an intelligent server utilizing machine learning and / or a neural network.According to one embodiment, an external electronic device (1104) or server (1108) may be included within the second network (1199). The electronic device (1101) may be applied to intelligent services (e.g., smart homes, smart cities, smart cars, or healthcare) based on 5G communication technology and IoT-related technology.

[0121] FIGS. 12A and 12B illustrate perspective views of an electronic device according to an embodiment.

[0122] Referring to FIGS. 12A and 12B , an electronic device (1200) according to one embodiment (e.g., the electronic device (1101) of FIG. 11 ) may include a housing (1210) including a first side (or front side) (1210A), a second side (or back side) (1210B), and a side surface (1210C) enclosing a space between the first side (1210A) and the second side (1210B), and a fastening member (1250, 1260) connected to at least a portion of the housing (1210) and configured to releasably fasten the electronic device (1200) to a body part (e.g., a wrist or an ankle) of a user. In another embodiment (not shown), the housing may also refer to a structure forming a portion of the first side (1210A), the second side (1210B), and the side surface (1210C) of FIGS. 12A and 12B . In one embodiment, the first side (1210A) may be formed by a front plate (1207) that is at least partially substantially transparent (e.g., a glass plate or a polymer plate comprising various coating layers). The second side (1210B) may be formed by a substantially opaque back plate (1207). The back plate (1207) may be formed of, for example, coated or colored glass, ceramic, polymer, metal (e.g., aluminum, stainless steel (STS), or magnesium), or a combination of at least two of the foregoing materials. The side surface (1210C) may be formed by a side bezel structure (or “side member”) (1206) that is coupled to the front plate (1207) and the back plate (1207) and comprises a metal and / or a polymer. In some embodiments, the back plate (1207) and the side bezel structure (1206) may be formed integrally and comprise the same material (e.g., a metal material such as aluminum). The above-mentioned bonding member (1250, 1260) can be formed of various materials and shapes.The integral and multiple unit links can be formed to be movable with each other by a combination of at least two of the above materials, such as woven fabric, leather, rubber, urethane, metal, ceramic, or a combination of at least two of the above materials.

[0123] According to one embodiment, the electronic device (1200) may include at least one of a display (1220, see FIG. 13), an audio module (1205, 1208), a sensor module (1211), a key input device (1202, 1203, 1204), and a connector hole (1209). In some embodiments, the electronic device (1200) may omit at least one of the components (e.g., the key input device (1202, 1203, 1204), the connector hole (1209), or the sensor module (1211)) or may additionally include other components.

[0124] The display (1220) may be visually exposed, for example, through a significant portion of the front plate (1207). The shape of the display (1220) may correspond to the shape of the front plate (1207), and may have various shapes such as a circle, an oval, or a polygon. The display (1220) may be coupled to or disposed adjacent to a touch detection circuit, a pressure sensor capable of measuring the intensity (pressure) of a touch, and / or a fingerprint sensor.

[0125] The audio module (1205, 1208) may include a microphone hole (1205) and a speaker hole (1208). The microphone hole (1205) may have a microphone positioned therein for acquiring external sounds, and in some embodiments, multiple microphones may be positioned therein to detect the direction of sounds. The speaker hole (1208) may be used as an external speaker and a receiver for calls. In some embodiments, the speaker hole (1208) and the microphone hole (1205) may be implemented as a single hole, or a speaker may be included without the speaker hole (1208) (e.g., a piezo speaker).

[0126] The sensor module (1211) can generate an electric signal or data value corresponding to the internal operating state of the electronic device (1200) or the external environmental state. The sensor module (1211) can include, for example, a biometric sensor module (1211) (e.g., an HRM sensor) disposed on the second surface (1210B) of the housing (1210). The electronic device (1200) can further include at least one of a non-illustrated sensor module, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0127] The sensor module (1211) may include electrode areas (1213, 1214) forming a portion of the surface of the electronic device (1200) and a bio-signal detection circuit (not shown) electrically connected to the electrode areas (1213, 1214). For example, the electrode areas (1213, 1214) may include a first electrode area (1213) and a second electrode area (1214) disposed on a second surface (1210B) of the housing (1210). The sensor module (1211) may be configured such that the electrode areas (1213, 1214) obtain an electrical signal from a portion of the user's body, and the bio-signal detection circuit detects bio-information of the user based on the electrical signal.

[0128] The key input devices (1202, 1203, 1204) may include a wheel key (1202) disposed on a first side (1210A) of the housing (1210) and rotatable in at least one direction, and / or a side key button (1203, 1204) disposed on a side surface (1210C) of the housing (1210). The wheel key may have a shape corresponding to the shape of the front plate (1207). In other embodiments, the electronic device (1200) may not include some or all of the above-mentioned key input devices (1202, 1203, 1204), and the key input devices (1202, 1203, 1204) that are not included may be implemented in another form, such as a soft key, on the display (1220). The connector hole (1209) may include another connector hole (not shown) that may accommodate a connector (e.g., a USB connector) for transmitting and receiving power and / or data with an external electronic device, and may accommodate a connector for transmitting and receiving audio signals with the external electronic device. The electronic device (1200) may further include, for example, a connector cover (not shown) that covers at least a portion of the connector hole (1209) and blocks the inflow of external foreign substances into the connector hole.

[0129] The fastening member (1250, 1260) can be detachably fastened to at least a portion of the housing (1210) using a locking member (1251, 1261). The fastening member (1250, 1260) can include one or more of a fixing member (1252), a fixing member fastening hole (1253), a band guide member (1254), and a band fastening ring (1255).

[0130] The fixing member (1252) may be configured to fix the housing (1210) and the fastening members (1250, 1260) to a part of the user's body (e.g., a wrist or an ankle). The fastening member fastening hole (1253) may correspond to the fastening member (1252) to fasten the housing (1210) and the fastening members (1250, 1260) to a part of the user's body. The band guide member (1254) may be configured to limit the range of motion of the fastening member (1252) when the fastening member (1252) is fastened to the fastening member fastening hole (1253), thereby allowing the fastening members (1250, 1260) to be fastened in close contact with a part of the user's body. The band fixing ring (1255) may limit the range of motion of the fastening members (1250, 1260) when the fastening member (1252) and the fastening member fastening hole (1253) are fastened.

[0131] FIG. 13 illustrates an exploded perspective view of an exemplary electronic device according to one embodiment.

[0132] Referring to FIG. 13, an electronic device (1300) (e.g., the electronic device (1101) of FIG. 11, or the electronic device (1200) of FIGS. 12A to 12B) may include a side bezel structure (1310), a wheel key (1320) (e.g., the wheel key (1202) of FIG. 2), a front plate (1207), a display (1220), a first antenna (1350), a second antenna (1355), a support member (1360) (e.g., a bracket), a battery (1370), a printed circuit board (1380), a sealing member (1390), a rear plate (1393) (e.g., the rear plate (1207) of FIG. 2), and fastening members (1395, 1397) (e.g., the fastening members (1250, 1260) of FIG. 2). At least one of the components of the electronic device (1300) may be identical or similar to at least one of the components of the electronic device (1200) of FIG. 11 or FIGS. 12A to 12B, and a duplicate description thereof will be omitted below. The support member (1360) may be disposed inside the electronic device (1300) and connected to the side bezel structure (1310), or may be formed integrally with the side bezel structure (1310). The support member (1360) may be formed of, for example, a metallic material and / or a non-metallic (e.g., a polymer) material. The support member (1360) may have a display (1220) coupled to one surface and a printed circuit board (1380) coupled to the other surface. A processor, a memory, and / or an interface may be mounted on the printed circuit board (1380). The processor may include, for example, one or more of a central processing unit, a graphics processing unit (GPU), an application processor, a sensor processor, or a communication processor.

[0133] The memory may include, for example, volatile memory or non-volatile memory. The interface may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, and / or an audio interface. The interface may electrically or physically connect the electronic device (1300) to an external electronic device, for example, and may include a USB connector, an SD card / MMC connector, or an audio connector.

[0134] The battery (1370) is a device for supplying power to at least one component of the electronic device (1300), and may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell. At least a portion of the battery (1370) may be disposed substantially on the same plane as, for example, the printed circuit board (1380). The battery (1370) may be disposed integrally within the electronic device (1200), or may be disposed detachably from the electronic device (1200).

[0135] The first antenna (1350) may be positioned between the display (1220) and the support member (1360). The first antenna (1350) may include, for example, a near field communication (NFC) antenna, a wireless charging antenna, and / or a magnetic secure transmission (MST) antenna. The first antenna (1350) may, for example, perform short-range communication with an external device, wirelessly transmit and receive power required for charging, and transmit a magnetic-based signal including a short-range communication signal or payment data. In another embodiment, the antenna structure may be formed by a portion or a combination of the side bezel structure (1310) and / or the support member (1360).

[0136] The second antenna (1355) may be positioned between the printed circuit board (1380) and the back plate (1393). The second antenna (1355) may include, for example, a near field communication (NFC) antenna, a wireless charging antenna, and / or a magnetic secure transmission (MST) antenna. The second antenna (1355) may, for example, perform short-range communication with an external device, wirelessly transmit and receive power required for charging, and transmit a magnetic-based signal including a short-range communication signal or payment data. In another embodiment, the antenna structure may be formed by a portion or a combination of the side bezel structure (1310) and / or the back plate (1393).

[0137] A sealing member (1390) may be positioned between the side bezel structure (1310) and the rear plate (1393). The sealing member (1390) may be configured to block moisture and foreign substances from entering the space surrounded by the side bezel structure (1310) and the rear plate (1393) from the outside.

[0138] According to one embodiment, a wearable device (e.g., electronic device 1101 of FIG. 11, electronic device 1200 of FIGS. 12A and 12B, or electronic device 1300 of FIG. 13) may be worn by a user and may operate. For example, the wearable device may be worn on a part of the user's body (e.g., a wrist, a finger, or a face). According to one embodiment, the wearable device may be used to provide a vibration notification. For example, the wearable device may use heart rate data to identify whether the user is in an exercise state. For example, the wearable device may use heart rate data to determine a time at which the user can recognize a notification. For example, the wearable device may use heart rate data to determine a method for providing a vibration notification.

[0139] A wearable device (e.g., wearable device (100)) as described above may include a memory (e.g., memory (206)) that stores instructions. The wearable device may include a heart rate sensor (e.g., heart rate sensor (208)). The wearable device may include an actuator (e.g., actuator (209)). The wearable device may include at least one processor (e.g., at least one processor (207)). The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain heart rate data via the heart rate sensor. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to detect an event that causes a vibration notification. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification at a first cycle (e.g., first cycle (410)) based on the heart rate data being lower than the threshold heart rate data, based on the event. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification at a second cycle (e.g., second cycle (430)) different from the first cycle, based on the heart rate data being higher than the threshold heart rate data, based on the event.

[0140] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to receive user input for selecting a type of exercise to be performed by a user of the wearable device. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify the type in response to the user input. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine the second period using type data for the identified type.

[0141] In one embodiment, the wearable device may further include one or more motion sensors. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain motion data of the wearable device via the one or more motion sensors. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify a type of exercise performed by a user of the wearable device using the motion data. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine the second cycle based on the identified type.

[0142] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify a type of exercise performed by a user of the wearable device. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine a pattern of the vibration notification provided in the second cycle based on the identified type. The pattern of the vibration notification may be determined by a temporary cessation of the vibration notification within a duration during which the vibration notification is provided.

[0143] In one embodiment, the wearable device may further include one or more motion sensors (e.g., one or more motion sensors (210)). The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain first motion data lower than threshold motion data and second motion data higher than the threshold motion data through the one or more motion sensors. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify, among operations performed by the user, a first operation corresponding to the first motion data and a second operation corresponding to the second motion data. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification at a second intensity higher than a first intensity of the vibration notification provided based on the identification of the first operation.

[0144] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify the first action and the second action based on a change in the heart rate data for a predetermined time being within a reference range.

[0145] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine an intensity of the vibration notification provided in the second period based on the heart rate data.

[0146] In one embodiment, the wearable device may further include a communication circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to receive, from the first electronic device via the communication circuit, a first signal indicating that the first electronic device is worn by the user. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine a priority according to a wearing state of each of the first electronic device and the wearable device based on receiving the first signal. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine a second electronic device among the first electronic device and the wearable device to provide the vibration notification at the second cycle according to the determined priority. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to transmit, via the communication circuit, a second signal to the second electronic device, the second signal causing the vibration notification to be provided within the second electronic device at the second cycle.

[0147] According to one embodiment, the threshold heart rate data may include first threshold heart rate data and second threshold heart rate data. The first threshold heart rate data and the second threshold heart rate data may be determined based on the age and / or weight of the user of the wearable device.

[0148] A method performed by a wearable device (e.g., wearable device (100)) having a heart rate sensor (e.g., heart rate sensor (208)) and an actuator (e.g., actuator (209)) as described above may include an operation of acquiring heart rate data via the heart rate sensor. The method may include an operation of detecting an event that causes a vibration notification. The method may include an operation of controlling the actuator to provide the vibration notification at a first cycle (e.g., first cycle (410)) according to the heart rate data that is lower than a threshold heart rate data based on the event. The method may include an operation of controlling the actuator to provide the vibration notification at a second cycle (e.g., second cycle (430)) different from the first cycle based on the event and according to the heart rate data that is higher than the threshold heart rate data.

[0149] In one embodiment, the method may include receiving user input for selecting a type of exercise to be performed by a user of the wearable device. The method may include identifying the type in response to the user input. The method may include determining the second cycle using type data for the identified type.

[0150] According to one embodiment, the wearable device may further include one or more motion sensors (e.g., one or more motion sensors (210)). The method may include an operation of acquiring motion data of the wearable device through the one or more motion sensors. The method may include an operation of identifying a type of exercise performed by a user of the wearable device using the motion data. The method may include an operation of determining the second cycle based on the identified type.

[0151] In one embodiment, the method may include an operation of identifying a type of exercise performed by a user of the wearable device. The method may further include an operation of determining a pattern of the vibration notification provided in the second cycle based on the identified type. The pattern of the vibration notification may be determined by a temporary pause in the vibration notification within the duration during which the vibration notification is provided.

[0152] According to one embodiment, the wearable device may further include one or more motion sensors. The method may include an operation of acquiring first motion data lower than threshold motion data and second motion data higher than the threshold motion data through the one or more motion sensors. The method may include an operation of identifying a first action corresponding to the first motion data and a second action corresponding to the second motion data among actions performed by the user. The method may include an operation of controlling the actuator to provide the vibration notification with a second intensity higher than a first intensity of the vibration notification provided based on the identification of the first action, based on the identification of the second action.

[0153] According to one embodiment, the method may include an operation of identifying the first action and the second action based on a change in the heart rate data for a predetermined time being within a reference range.

[0154] According to one embodiment, the method may include an operation of determining an intensity of the vibration notification provided in the second cycle based on the heart rate data.

[0155] According to one embodiment, the wearable device may further include a communication circuit. The method may include receiving a first signal from the first electronic device through the communication circuit, the first signal indicating that the first electronic device is worn by the user. The method may include determining a priority according to a wearing state of each of the first electronic device and the wearable device based on the reception of the first signal. The method may include determining a second electronic device for providing the vibration notification at the second cycle among the first electronic device and the wearable device according to the determined priority. The method may include transmitting a second signal to the second electronic device through the communication circuit, the second signal causing the vibration notification to be provided at the second cycle within the second electronic device.

[0156] According to one embodiment, the threshold heart rate data may include first threshold heart rate data and second threshold heart rate data. The first threshold heart rate data and the second threshold heart rate data may be determined based on the age and / or weight of the user of the wearable device.

[0157] In a computer-readable storage medium having one or more programs stored thereon, as described above, the one or more programs may include instructions that, when executed by a wearable device having a heart rate sensor (e.g., heart rate sensor (208)) and an actuator (e.g., actuator (209)), cause the wearable device to obtain heart rate data via the heart rate sensor. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to detect an event that causes a vibration notification. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification at a first cycle (e.g., first cycle (410)) according to the heart rate data being lower than a threshold heart rate data based on the event. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification at a second cycle (e.g., a second cycle (430)) different from the first cycle, based on the heart rate data being higher than the threshold heart rate data, based on the event.

[0158] In one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to receive user input for selecting a type of exercise to be performed by a user of the wearable device. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify the type in response to the user input. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine the second period using type data for the identified type.

[0159] In one embodiment, the wearable device may further include one or more motion sensors (e.g., one or more motion sensors (210)). The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to obtain motion data of the wearable device via the one or more motion sensors. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify a type of exercise performed by a user of the wearable device using the motion data. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine the second cycle based on the identified type.

[0160] In one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify a type of exercise performed by a user of the wearable device. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine a pattern of the vibration notification provided in the second cycle based on the identified type. The pattern of the vibration notification may be determined by a temporary cessation of the vibration notification within a duration during which the vibration notification is provided.

[0161] In one embodiment, the wearable device may further include one or more motion sensors. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to obtain first motion data lower than threshold motion data and second motion data higher than the threshold motion data through the one or more motion sensors. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify a first action corresponding to the first motion data and a second action corresponding to the second motion data among actions performed by the user. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification at a second intensity higher than a first intensity of the vibration notification provided based on the identification of the first action, based on the identification of the second action.

[0162] According to one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify the first action and the second action based on a change in the heart rate data for a predetermined time being within a reference range.

[0163] According to one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine an intensity of the vibration notification provided in the second cycle based on the heart rate data.

[0164] In one embodiment, the wearable device may further include a communication circuit. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to receive, from the first electronic device via the communication circuit, a first signal indicating that the first electronic device is worn by the user. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine a priority according to a wearing state of each of the first electronic device and the wearable device based on receiving the first signal. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine a second electronic device for providing the vibration notification at the second cycle among the first electronic device and the wearable device according to the determined priority. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to transmit, via the communication circuit, a second signal to the second electronic device, the second signal causing the vibration notification to be provided within the second electronic device at the second cycle.

[0165] According to one embodiment, the threshold heart rate data may include first threshold heart rate data and second threshold heart rate data. The first threshold heart rate data and the second threshold heart rate data may be determined based on the age and / or weight of the user of the wearable device.

[0166] A wearable device as described above may include a memory storing instructions. The wearable device may include one or more motion sensors. The wearable device may include a heart rate sensor. The wearable device may include an actuator. The wearable device may include at least one processor. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain heart rate data via the heart rate sensor. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify whether a user of the wearable device is in an exercise state via the one or more motion sensors. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to detect an event that causes a vibration notification. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification in a first manner independent of the heart rate data, based on the event detected while identifying the user as not being in the exercise state. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification in a second manner dependent on the heart rate data being higher than a threshold heart rate data, based on the event detected while identifying the user as being in the exercise state.

[0167] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification in the second manner based on the heart rate data being lower than the threshold heart rate data, based on the event detected while identifying the user as being in the exercise state.

[0168] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to receive user input for selecting a type of exercise to be performed by the user. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify the type in response to the user input. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine the second method using type data for the identified type.

[0169] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain motion data of the wearable device via the one or more motion sensors. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify a type of exercise performed by the user using the motion data while identifying that the user is in the exercise state. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine the second manner based on the identified type.

[0170] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify a type of exercise performed by the user while identifying that the user is in the exercise state. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine a pattern of the vibration notification provided in the second manner based on the identified type. The pattern of the vibration notification may be determined by a temporary cessation of the vibration notification within a duration during which the vibration notification is provided.

[0171] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to obtain first motion data lower than threshold motion data and second motion data higher than the threshold motion data via the one or more motion sensors. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify, among actions performed by the user, a first action corresponding to the first motion data and a second action corresponding to the second motion data. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to control the actuator to provide the vibration notification at a second intensity higher than a first intensity of the vibration notification provided based on identifying the first action.

[0172] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to identify the first action and the second action based on a change in the heart rate data for a predetermined time being within a reference range.

[0173] In one embodiment, the instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine an intensity of the vibration notification provided in the second manner based on the heart rate data.

[0174] In one embodiment, the wearable device may further include a communication circuit. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to receive, from the first electronic device via the communication circuit, a first signal indicating that the first electronic device is worn by the user. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine a priority according to a wearing state of each of the first electronic device and the wearable device based on receiving the first signal. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to determine a second electronic device for providing the vibration notification in the second manner among the first electronic device and the wearable device, based on the determined priority. The instructions, when individually or collectively executed by the at least one processor, may cause the wearable device to transmit, via the communication circuit, a second signal to the second electronic device, the second signal causing the vibration notification to be provided in the second manner within the second electronic device.

[0175] A method performed by a wearable device having one or more motion sensors, a heart rate sensor, and an actuator as described above may include acquiring heart rate data via the heart rate sensor. The method may include identifying whether a user of the wearable device is in an exercise state via the one or more motion sensors. The method may include detecting an event that causes a vibration notification. The method may include controlling the actuator to provide the vibration notification in a first manner independent of the heart rate data based on the event detected while identifying that the user is not in the exercise state. The method may include controlling the actuator to provide the vibration notification in a second manner based on the heart rate data being higher than a threshold heart rate data based on the event detected while identifying that the user is in the exercise state.

[0176] In one embodiment, the method may include controlling the actuator to provide the vibration notification in the second manner based on the heart rate data being lower than the threshold heart rate data, based on the event detected while identifying the user as being in the exercise state.

[0177] In one embodiment, the method may include receiving user input for selecting a type of exercise to be performed by the user. The method may include identifying the type in response to the user input. The method may include determining the second method using type data regarding the identified type.

[0178] In one embodiment, the method may include acquiring motion data of the wearable device via one or more motion sensors. The method may include identifying a type of exercise performed by the user using the motion data while identifying that the user is in the exercise state. The method may include determining the second method based on the identified type.

[0179] In one embodiment, the method may include an operation of identifying a type of exercise performed by the user while identifying that the user is in the exercise state. The method may include an operation of determining a pattern of the vibration notification provided in the second manner based on the identified type. The pattern of the vibration notification may be determined by a temporary cessation of the vibration notification within a duration during which the vibration notification is provided.

[0180] According to one embodiment, the method may include an operation of acquiring first motion data lower than threshold motion data and second motion data higher than the threshold motion data through the one or more motion sensors. The method may include an operation of identifying a first action corresponding to the first motion data and a second action corresponding to the second motion data among actions performed by the user. The method may include an operation of controlling the actuator to provide the vibration notification with a second intensity higher than a first intensity of the vibration notification provided based on the identification of the first action, based on the identification of the second action.

[0181] According to one embodiment, the method may include an operation of identifying the first action and the second action based on a change in the heart rate data for a predetermined time being within a reference range.

[0182] According to one embodiment, the method may include an operation of determining an intensity of the vibration notification provided in the second manner based on the heart rate data.

[0183] According to one embodiment, the wearable device may further include a communication circuit. The method may include receiving a first signal from the first electronic device through the communication circuit, the first signal indicating that the first electronic device is worn by the user. The method may include determining a priority according to a wearing state of each of the first electronic device and the wearable device based on the reception of the first signal. The method may include determining a second electronic device for providing the vibration notification in the second manner among the first electronic device and the wearable device according to the determined priority. The method may include transmitting a second signal to the second electronic device through the communication circuit, the second signal causing the vibration notification to be provided in the second manner within the second electronic device.

[0184] In a computer-readable storage medium having one or more programs stored thereon, as described above, the one or more programs may include instructions that, when executed by a wearable device having one or more motion sensors, a heart rate sensor, and an actuator, cause the wearable device to obtain heart rate data via the heart rate sensor. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify, via the one or more motion sensors, whether a user of the wearable device is in an exercise state. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to detect an event that causes a vibration notification. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification in a first manner independent of the heart rate data based on the event detected while identifying that the user is not in the exercise state. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification in a second manner contingent on the heart rate data being higher than a threshold heart rate data based on the event detected while identifying that the user is in the exercise state.

[0185] In one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification in the second manner based on the heart rate data being lower than the threshold heart rate data, based on the event detected while identifying the user as being in the exercise state.

[0186] In one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to receive user input for selecting a type of exercise to be performed by the user. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify the type in response to the user input. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine the second method using type data for the identified type.

[0187] In one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to obtain motion data of the wearable device via the one or more motion sensors. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify a type of exercise performed by the user using the motion data while identifying that the user is in the exercise state. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine the second manner based on the identified type.

[0188] In one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify a type of exercise performed by the user while identifying that the user is in the exercise state. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine a pattern of the vibration notification provided in the second manner based on the identified type. The pattern of the vibration notification may be determined by a temporary cessation of the vibration notification within a duration during which the vibration notification is provided.

[0189] In one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to obtain first motion data lower than threshold motion data and second motion data higher than the threshold motion data through the one or more motion sensors. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify, among operations performed by the user, a first operation corresponding to the first motion data and a second operation corresponding to the second motion data. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to control the actuator to provide the vibration notification at a second intensity higher than a first intensity of the vibration notification provided based on identifying the first operation.

[0190] According to one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to identify the first action and the second action based on a change in the heart rate data for a predetermined time being within a reference range.

[0191] According to one embodiment, the one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine an intensity of the vibration notification provided in the second manner based on the heart rate data.

[0192] In one embodiment, the wearable device may further include a communication circuit. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to receive, from the first electronic device via the communication circuit, a first signal indicating that the first electronic device is worn by the user. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine a priority according to a wearing state of each of the first electronic device and the wearable device based on receiving the first signal. The one or more programs may include instructions that, when executed by the wearable device, cause the wearable device to determine a second electronic device for providing the vibration notification in the second manner among the first electronic device and the wearable device according to the determined priority. The one or more programs, when executed by the wearable device, include instructions that cause the wearable device to transmit, via the communication circuit, a second signal to the second electronic device, the second signal causing the vibration notification to be provided in the second manner within the second electronic device.

[0193] The devices described above may be implemented as hardware components, software components, and / or a combination of hardware components and software components. For example, the devices and components described in the embodiments may be implemented using one or more general-purpose computers or special-purpose computers, such as a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing instructions and responding to them. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing device is sometimes described as being used alone; however, one of ordinary skill in the art will recognize that the processing device may include multiple processing elements and / or multiple types of processing elements. For example, a processing unit may include multiple processors, or a processor and a controller. Other processing configurations, such as parallel processors, are also possible.

[0194] Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing device to perform a desired operation or may independently or collectively command the processing device. The software and / or data may be embodied in any type of machine, component, physical device, computer storage medium, or device for interpretation by the processing device or for providing instructions or data to the processing device. The software may also be distributed over networked computer systems and stored or executed in a distributed manner. The software and data may be stored on one or more computer-readable recording media.

[0195] The method according to the embodiment may be implemented in the form of program commands that can be executed through various computer means and recorded on a computer-readable medium. In this case, the medium may be one that continuously stores a computer-executable program or one that temporarily stores it for execution or download. In addition, the medium may be various recording or storage means in the form of a single or multiple hardware combinations, and is not limited to a medium directly connected to a computer system, but may also be distributed over a network. Examples of the medium may include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and those configured to store program commands, including ROM, RAM, and flash memory. In addition, examples of other media may include recording or storage media managed by app stores that distribute applications, sites that supply or distribute various software, servers, etc.

[0196] Although the embodiments described above have been described by way of limited examples and drawings, those skilled in the art will appreciate that various modifications and variations can be made based on the above teachings. For example, appropriate results can still be achieved even if the described techniques are performed in a different order than described, and / or components of the described systems, structures, devices, circuits, etc. are combined or combined in a different manner than described, or are replaced or substituted with other components or equivalents.

[0197] Therefore, other implementations, other embodiments, and equivalents of the claims are also within the scope of the claims described below. According to one embodiment, the method according to the various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) via an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0198] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. In a wearable device (100), A memory (206) storing instructions and including one or more storage media; Heart rate sensor (208); actuator (209); and At least one processor (207) comprising processing circuitry, The above instructions, when individually or collectively executed by the at least one processor (207), Obtain heart rate data through the above heart rate sensor (208); Detecting an event that causes a vibration notification; and Based on the above events: According to the heart rate data lower than the threshold heart rate data, the actuator (209) is controlled to provide the vibration notification in the first cycle (410), and To control the actuator (209) to provide the vibration notification in a second cycle (430) different from the first cycle (410) according to the heart rate data higher than the threshold heart rate data. causing the above wearable device (100), Wearable device (100).

2. In claim 1, The above instructions, when individually or collectively executed by the at least one processor (207), Receiving user input for selecting a type of exercise to be performed by a user of the wearable device (100), Identifying the type in response to the user input, and To determine the second cycle (430) using the type data for the above-mentioned identified type, causing the above wearable device (100), Wearable device (100).

3. In claim 1, further comprising one or more motion sensors (210), The above instructions, when individually or collectively executed by the at least one processor (207), Obtaining motion data of the wearable device (100) through one or more of the above motion sensors (210), Using the above motion data, the type of movement performed by the user of the wearable device (100) is identified, and To determine the second cycle (430) based on the above identified type, causing the above wearable device (100), Wearable device (100).

4. In claim 1, The above instructions, when individually or collectively executed by the at least one processor (207), Identifying the type of exercise performed by the user of the wearable device (100), and Based on the identified type, to determine the pattern of the vibration notification provided in the second cycle (430), causing the above wearable device (100), The above pattern of the above vibration notification is, Determined by the temporary suspension of the vibration notification within the duration (420) during which the vibration notification is provided, Wearable device (100).

5. In claim 4, further comprising one or more motion sensors (210), The above instructions, when individually or collectively executed by the at least one processor (207), Obtaining first motion data lower than the threshold motion data and second motion data higher than the threshold motion data through the one or more motion sensors (210), Identifying a first motion corresponding to the first motion data and a second motion corresponding to the second motion data among the motions performed by the user, and Based on identifying the second motion, control the actuator (209) to provide the vibration notification with a second intensity higher than the first intensity of the vibration notification provided based on identifying the first motion. causing the above wearable device (100), Wearable device (100).

6. In claim 5, The above instructions, when individually or collectively executed by the at least one processor (207), To identify the first action and the second action based on whether the amount of change in the heart rate data for a predetermined time is within a reference range, causing the above wearable device (100), Wearable device (100).

7. In claim 1, The above instructions, when individually or collectively executed by the at least one processor (207), To determine the intensity of the vibration notification provided in the second cycle (430) based on the heart rate data; causing the above wearable device (100), Wearable device (100).

8. In claim 1, Further comprising a communication circuit (205), The above instructions, when individually or collectively executed by the at least one processor (207), Receive a first signal indicating that the first electronic device is worn by the user from the first electronic device through the communication circuit (205), Based on receiving the first signal, the priority is determined according to the wearing state of each of the first electronic device and the wearable device (100), According to the above-determined priority, a second electronic device is determined to provide the vibration notification in the second cycle (430) among the first electronic device and the wearable device (100), and To transmit a second signal to the second electronic device through the communication circuit (205), which causes the vibration notification to be provided in the second cycle (430) within the second electronic device. causing the above wearable device (100), Wearable device (100).

9. In claim 1, the critical heart rate data is: Includes first threshold heart rate data and second threshold heart rate data, The first critical heart rate data and the second critical heart rate data are, Determined based on the age and / or weight of the user of the wearable device (100), Wearable device (100).

10. In a wearable device (100), A memory (206) storing instructions and including one or more storage media; One or more motion sensors (210); Heart rate sensor (208); actuator (209); and At least one processor (207) comprising processing circuitry, The above instructions, when individually or collectively executed by the at least one processor (207), Obtain heart rate data through the above heart rate sensor (208), Identifying whether the user of the wearable device (100) is in an exercise state through one or more of the motion sensors (210), Detect events that cause vibration notifications, Controlling the actuator (209) to provide the vibration notification in a first manner independent of the heart rate data based on the event detected while identifying that the user is not in the exercise state, and To control the actuator (209) to provide the vibration notification in a second manner based on the event detected while identifying that the user is in the exercise state, based on the heart rate data being higher than the threshold heart rate data. causing the above wearable device (100), Wearable device (100).

11. In claim 10, The above instructions, when individually or collectively executed by the at least one processor (207), To control the actuator (209) to provide the vibration notification in the second manner based on the event detected while identifying that the user is in the exercise state, according to the heart rate data lower than the threshold heart rate data. causing the above wearable device (100), Wearable device (100).

12. In claim 10, The above instructions, when individually or collectively executed by the at least one processor (207), Receiving user input to select the type of exercise to be performed by the user; Identifying the type in response to the user input, and To determine the second method using the type data for the above identified type, causing the above wearable device (100), Wearable device (100).

13. In claim 10, The above instructions, when individually or collectively executed by the at least one processor (207), Obtaining motion data of the wearable device (100) through one or more of the above motion sensors (210), While identifying that the user is in the exercise state, the motion data is used to identify the type of exercise performed by the user, and To determine the second method based on the above identified type, causing the above wearable device (100), Wearable device (100).

14. In claim 10, The above instructions, when individually or collectively executed by the at least one processor (207), While identifying that the user is in the exercise state, identifying the type of exercise performed by the user, and Based on the identified type, determine the pattern of the vibration notification provided in the second manner. causing the above wearable device (100), The above pattern of the above vibration notification is, Determined by the temporary suspension of the vibration notification within the duration (420) during which the vibration notification is provided, Wearable device (100).

15. In claim 14, The above instructions, when individually or collectively executed by the at least one processor (207), Obtaining first motion data lower than the threshold motion data and second motion data higher than the threshold motion data through the one or more motion sensors (210), Identifying a first motion corresponding to the first motion data and a second motion corresponding to the second motion data among the motions performed by the user, and Based on identifying the second motion, control the actuator (209) to provide the vibration notification with a second intensity higher than the first intensity of the vibration notification provided based on identifying the first motion. causing the above wearable device (100), Wearable device (100).

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