Fall monitoring method and device, storage medium and electronic equipment

Abstract

The invention discloses a fall monitoring method and device, a storage medium and electronic equipment, and relates to the technical field of intelligent wearable equipment and sensor fusion. The method comprises the steps that when it is detected that the earphone is in a wearing state, a first numerical value and a second numerical value of an earphone wearer are collected through sensing equipment arranged in the earphone; determining the motion state of the earphone wearer according to the first numerical value and the second numerical value; determining a first detection threshold and a second detection threshold according to the motion state; according to the first detection threshold value, the second detection threshold value, the first numerical value and the second numerical value, determining whether the earphone wearer is in a falling state; and when it is detected that the earphone wearer is in the falling state, remote help information is sent through a communication device built in the earphone. The technical problem that independent emergency response cannot be realized through the earphone because the intelligent earphone in the prior art cannot effectively integrate fall detection and independent communication alarm functions is solved.

Description

Technical Field

[0001] The present application relates to the field of smart wearable devices and sensor fusion technology, and more specifically, to a fall monitoring method, device, storage medium, and electronic device. Background Art

[0002] In the increasingly popular wearable device market, smart earphones are highly sought after by consumers for their convenient fit and rich audio features. However, existing smart earphones primarily focus on improving the audio experience and call quality, failing to effectively integrate motion detection and emergency communication capabilities. This makes them particularly vulnerable to the safety needs of high-risk groups such as outdoor athletes, the elderly, and children.

[0003] Traditional earphone designs overlook the potential of sensor technology and communication modules, resulting in users being unable to use their earphones to immediately protect themselves or send a call for help in the event of a fall or other emergency. This is particularly true when users lack immediate access to their phones or other communication devices, such as during high-intensity exercise, experiencing a health emergency, or when children are playing outdoors. Furthermore, even though some earphones are equipped with sensors such as accelerometers, they are primarily used to improve the audio experience (such as automatically playing / pausing music) rather than for safety-related functions.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] The present application provides a fall monitoring method, device, storage medium and electronic device to at least solve the technical problem in the prior art that smart headphones fail to effectively integrate fall detection and independent communication alarm functions, resulting in the inability to achieve independent emergency response through the headphones.

[0006] According to one aspect of the present application, a fall monitoring method is provided, comprising: when detecting that an earphone is in a wearing state, collecting a first value and a second value of the earphone wearer through a sensor device built into the earphone, wherein the first value is used to represent the instantaneous acceleration change value of the earphone wearer in a target direction, and the second value is used to represent the body posture angle change value of the earphone wearer; determining the motion state of the earphone wearer based on the first value and the second value; determining a first detection threshold and a second detection threshold based on the motion state, wherein the first detection threshold is used to determine whether the earphone wearer is in an abnormal acceleration change, and the second detection threshold is used to determine whether the earphone wearer is in an abnormal body posture angle; determining whether the earphone wearer is in a fall state based on the first detection threshold, the second detection threshold, the first value, and the second value; and when detecting that the earphone wearer is in a fall state, sending a remote help message through the communication device built into the earphone.

[0007] Optionally, determining whether the headphone wearer is in a falling state is based on a first detection threshold, a second detection threshold, a first numerical value, and a second numerical value, including: detecting whether the first numerical value is greater than or equal to the first detection threshold; detecting whether the second numerical value is greater than or equal to the second detection threshold; when detecting that the second numerical value is greater than or equal to the second detection threshold, detecting the duration during which the second numerical value is greater than or equal to the second detection threshold; when detecting that the duration is greater than or equal to a first preset duration, and the first numerical value is greater than or equal to the first detection threshold, determining that the headphone wearer is in a falling state.

[0008] Optionally, when it is detected that the headphone wearer is in a falling state, a remote help message is sent through the communication device built into the headphone, including: when it is detected that the headphone wearer is in a falling state, triggering an alarm message through the headphone; after the alarm message is triggered through the headphone, detecting whether the headphone receives feedback information from the headphone wearer within a second preset time period, wherein the feedback information is used to determine whether the headphone wearer has responded to the alarm message; when it is detected that the headphone receives feedback information from the headphone wearer within the second preset time period, prohibiting the sending of remote help information through the communication device built into the headphone; when it is detected that the headphone does not receive feedback information from the headphone wearer within the second preset time period, sending a remote help message through the communication device built into the headphone.

[0009] Optionally, before sending a remote help message through the communication device built into the headset, the method further includes: configuring N emergency contacts through a smart device that establishes a communication connection with the headset, and setting different level information for the N emergency contacts, where N is an integer greater than or equal to 1.

[0010] Optionally, when it is detected that the headset has not received any feedback information from the headset wearer within a second preset time period, a remote help message is sent through the built-in communication device of the headset, including: based on the level information of each emergency contact, sending remote help messages to N emergency contacts in turn through the built-in communication device of the headset; wherein the remote help message includes at least a preset help text message, the location information of the headset wearer, and positioning information.

[0011] Optionally, the motion state includes M states, wherein the M states include at least a stationary state, a walking state, a running state, and a cycling state, and the first detection threshold and the second detection threshold are determined according to the motion state, including: setting a first detection threshold and a second detection threshold corresponding to each state in the M states.

[0012] Optionally, the fall monitoring method further includes: when detecting that the earphone is in a wearing state, adjusting the sampling frequency of a sensor device built into the earphone according to the motion state of the earphone wearer.

[0013] Optionally, the fall monitoring method further includes: when it is detected that the earphone is not being worn, adjusting the state of a sensor device built into the earphone to a dormant state.

[0014] According to another aspect of the present application, a fall monitoring device is also provided, including: a collection unit, for collecting a first value and a second value of the headphone wearer through a built-in sensor device of the headphone when it is detected that the headphone is in a wearing state, wherein the first value is used to characterize the instantaneous acceleration change value of the headphone wearer in the target direction, and the second value is used to characterize the body posture angle change value of the headphone wearer; a first determination unit, for determining the motion state of the headphone wearer based on the first value and the second value; a second determination unit, for determining a first detection threshold and a second detection threshold based on the motion state, wherein the first detection threshold is used to determine whether the headphone wearer is in an abnormal acceleration change, and the second detection threshold is used to determine whether the headphone wearer is in an abnormal body posture angle; a third determination unit, for determining whether the headphone wearer is in a fall state based on the first detection threshold, the second detection threshold, the first value and the second value; a sending unit, for sending a remote help message through the built-in communication device of the headphone when it is detected that the headphone wearer is in a fall state.

[0015] Optionally, the sending unit includes: an acquisition module for recording the time information when the headphone wearer is in the falling state; a positioning module for obtaining the location information of the headphone wearer when the headphone wearer is in the falling state; a Bluetooth module for obtaining the positioning information of the headphone wearer when the headphone wearer is in the falling state; and the communication device for sending the remote help information when it is detected that the headphone wearer is in the falling state, wherein the remote help includes time information, the location information of the headphone wearer and the positioning information.

[0016] In the present application, upon detecting that the headset is being worn, a built-in sensor device in the headset collects a first value and a second value of the headset wearer, wherein the first value represents the instantaneous acceleration change of the headset wearer in a target direction, and the second value represents the change in the headset wearer's body posture angle. The headset wearer's motion state is then determined based on the first and second values. A first detection threshold and a second detection threshold are then determined based on the motion state, wherein the first detection threshold is used to determine whether the headset wearer is experiencing an abnormal acceleration change, and the second detection threshold is used to determine whether the headset wearer is experiencing an abnormal body posture angle. The headset wearer is then determined to have fallen based on the first and second detection thresholds, the first detection threshold, the second detection threshold, the first value, and the second value. Finally, upon detecting that the headset wearer has fallen, a remote help message is sent via the headset's built-in communication device. This method achieves accurate identification of the headset wearer's fall state by integrating sensor data, dynamic threshold adjustment, and automatic help, thereby enabling immediate, independent headset response and efficient rescue in emergency situations. This addresses the technical issue in existing smart headsets where fall detection and independent communication alarm functions are not effectively integrated, resulting in an inability to implement independent emergency response via the headset. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 is a flow chart of an optional fall monitoring method according to an embodiment of the present application;

[0019] Figure 2 is a schematic diagram of an optional fall monitoring device according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0022] It should be noted that the collected information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this application are information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation portals for users to choose to authorize or refuse. For example, an interface is set up between this system and relevant users or institutions to provide users with corresponding operation portals for users to choose to agree or refuse the automated decision-making results; if the user chooses to refuse, the expert decision-making process will be entered.

[0023] According to an embodiment of the present application, a method embodiment of a fall monitoring method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] Figure 1 is a flow chart of an optional fall monitoring method according to an embodiment of the present application, such as Figure 1 As shown, the method includes the following steps:

[0025] Step S101: When it is detected that the earphone is in a wearing state, a first value and a second value of the earphone wearer are collected by a sensor device built into the earphone.

[0026] In step S101 , the first value is used to represent the instantaneous acceleration change value of the headphone wearer in the target direction, and the second value is used to represent the body posture angle change value of the headphone wearer.

[0027] It should be noted that the processing system (or control unit) in the headset can be used as the execution body of the fall monitoring method of the embodiment of the present application. It is understandable that the fall monitoring method provided in the embodiment of the present application can also be executed by other systems or devices, and the embodiment of the present application does not specifically limit this.

[0028] Optionally, the built-in sensing device of the earphone includes, but is not limited to, a triaxial accelerometer and a gyroscope. The triaxial accelerometer is used to detect changes in acceleration, and the gyroscope is used to detect attitude angle. The sensing device is integrated into the ear handle of the in-ear earphone or the headband of the headphone.

[0029] Optionally, when the headset is detected to be worn, the processing system continuously monitors the accelerometer and gyroscope data. The system records changes in acceleration (a first value) and changes in the wearer's posture angle (a second value). Real-time collection of this data forms the basis for subsequent fall detection algorithms, enabling them to capture subtle changes in the wearer's motion state.

[0030] Optionally, for in-ear headphones, a miniature three-axis accelerometer and gyroscope are integrated inside the ear handle, and an eSIM (Embedded SIM) module is built into the earphones or charging box (a SIM card technology that is directly embedded in the device, allowing the device to connect to a cellular network without a physical SIM card, thereby achieving independent communication capabilities); for headphones: a sensor array is set on the inside of the headband, combined with the earmuff pressure sensor to determine the wearing status (to avoid false triggering when not worn).

[0031] Step S102: determining the motion state of the headphone wearer according to the first value and the second value.

[0032] Optionally, the motion state may refer to different types of activity states such as stillness, walking, running, cycling, etc., which is crucial to the accuracy of fall detection.

[0033] Optionally, based on the collected first value (acceleration change) and second value (posture angle change), the processing system uses a pre-defined motion state algorithm to identify the specific activity the user is engaged in. For example, the system can distinguish between states such as stillness, slow walking, and sprinting. Determining motion state helps adjust the sensitivity of fall detection, as the probability and characteristics of falls vary in different activities.

[0034] Step S103: determining a first detection threshold and a second detection threshold according to the motion state.

[0035] In step S103, the first detection threshold is used to determine whether the headphone wearer is in an abnormal acceleration change, and the second detection threshold is used to determine whether the headphone wearer is in an abnormal body posture angle.

[0036] Optionally, the first detection threshold and the second detection threshold correspond to critical values ​​of acceleration change and posture angle change, respectively, and are used to determine whether a fall is likely to occur.

[0037] Optionally, the processing system dynamically adjusts these two thresholds based on the detected motion state. Generally, the threshold is higher when stationary to avoid false positives due to slight movement; while the threshold is lower when running or cycling to detect potential falls earlier. Setting appropriate thresholds can effectively reduce false positives while ensuring a timely response when a fall actually occurs.

[0038] Optionally, the headphone wearer can also customize the detection threshold, such as increasing the acceleration threshold (first detection threshold) in cycling mode.

[0039] Step S104: determining whether the headphone wearer is in a falling state according to the first detection threshold, the second detection threshold, the first value, and the second value.

[0040] Optionally, based on the continuous monitoring of the wearer's motion data (first value and second value), the processing system will check whether these values ​​exceed the previously set threshold conditions. If the instantaneous acceleration change value exceeds the first detection threshold, and the attitude angle change value exceeds the second detection threshold, and this state lasts for a certain period of time (such as more than 2 seconds), the smart headset determines that the wearer may be in a fall state. This process requires precise calculation of the algorithm and reasonable setting of the threshold to ensure the effectiveness and accuracy of the alarm.

[0041] Optionally, the processing system can improve the accuracy of fall detection (reduce misjudgment in scenarios such as running bumps and vehicle vibrations) through fusion analysis of three-axis accelerometer and gyroscope data.

[0042] Step S105: When it is detected that the headset wearer is in a falling state, a remote help message is sent through the communication device built into the headset.

[0043] Optionally, when it is detected that the headphone wearer is in a falling state, the processing system can first issue a local warning (such as sound, vibration) through the headphone. When the headphone wearer fails to confirm and cancel the alarm within a specified time (such as 30 seconds), a remote help message is sent through the built-in communication device of the headphone.

[0044] Optionally, a remote help message refers to a help message that the processing system automatically sends to the preset emergency contact through the headset when the wearer fails to confirm the cancellation of the alarm within the specified time after a local warning, and usually includes the wearer's location and time information.

[0045] Optionally, once it is determined that the wearer is in a fall state, the processing system will send a help message to the emergency contact through the built-in communication device of the headset (such as Bluetooth (for connecting to smart devices to set emergency contacts, synchronize location, etc.), Wi-Fi (for transmitting alarm data), cellular network (such as eSIM, which supports independent communication)). The information will include the coordinates of the wearer's current location (obtained through the built-in positioning module of the headset) and the time of the fall, so that the emergency contact can quickly locate and respond. In addition, if conditions permit, the wearer's voice or ambient sound can be attached to further provide clues to the situation on the scene.

[0046] Optionally, the headphones in this embodiment integrate fall monitoring, automatic alarm and help-seeking, which are suitable for fall detection and emergency help in scenarios such as outdoor sports, elderly care, and child safety, and can improve the safety of users in scenarios such as sports and living alone.

[0047] It can be seen from the contents of steps S101 to S105 that in the present application, first, when the earphones are detected to be in a wearing state, the first value and the second value of the earphone wearer are collected through the built-in sensing device of the earphones, wherein the first value is used to characterize the instantaneous acceleration change value of the earphone wearer in the target direction, and the second value is used to characterize the body posture angle change value of the earphone wearer. Then, the motion state of the earphone wearer is determined based on the first value and the second value, and then the first detection threshold and the second detection threshold are determined based on the motion state, wherein the first detection threshold is used to determine whether the earphone wearer is in an abnormal acceleration change, and the second detection threshold is used to determine whether the earphone wearer is in an abnormal body posture angle. Then, whether the earphone wearer is in a falling state is determined based on the first detection threshold, the second detection threshold, the first value and the second value. Finally, when it is detected that the earphone wearer is in a falling state, a remote help message is sent through the built-in communication device of the earphone. That is, by fusing sensor data, dynamic threshold adjustment and automatic help-seeking, the purpose of accurately identifying the fall status of the headphone wearer is achieved, thereby realizing the technical effect of instant independent response and efficient rescue of the headphone in an emergency, and thus solving the technical problem that smart headphones in the existing technology fail to effectively integrate fall detection and independent communication alarm functions, resulting in the inability to achieve independent emergency response through headphones.

[0048] In an optional embodiment, the processing system detects whether the first value is greater than or equal to a first detection threshold, detects whether the second value is greater than or equal to a second detection threshold, and then, when detecting that the second value is greater than or equal to the second detection threshold, detects the duration during which the second value is greater than or equal to the second detection threshold. When detecting that the duration is greater than or equal to a first preset duration and the first value is greater than or equal to the first detection threshold, it determines that the headphone wearer is in a falling state.

[0049] Optionally, the processing system continuously monitors the first value (acceleration change value) collected by the accelerometer and the second value (body posture angle change value) collected by the gyroscope. When the second value (posture angle change) reaches or exceeds the second detection threshold, the processing system further checks whether the duration of this state is greater than or equal to the first preset duration (such as 2 seconds). This is because a simple posture change may not be sufficient to determine a fall, and a comprehensive judgment needs to be made based on the duration. After the duration of the second value exceeding the second detection threshold meets the conditions, the processing system will simultaneously check whether the first value (acceleration change) also exceeds the first detection threshold. The purpose of this double check is to ensure the accuracy of fall detection and avoid misjudgment due to changes in a single parameter.

[0050] Optionally, when all the above conditions are met, that is, the duration of the second value is greater than or equal to the first preset duration, and the first value is greater than or equal to the first detection threshold, the processing system will determine that the headphone wearer is in a falling state.

[0051] Optionally, the processing system collects acceleration data in real time. When it detects that the instantaneous acceleration exceeds a first detection threshold (such as >8g) and the posture angle change exceeds a safe range (such as the body tilt is >45° and lasts for 2 seconds), it is determined to be a suspected fall.

[0052] From the above content, it can be seen that the processing system has significantly improved the accuracy and reliability of fall detection in smart headphones by implementing the above-mentioned multi-condition judgment and comprehensive analysis process. On the one hand, by setting a clear first detection threshold and a second detection threshold, combined with the wearer's instantaneous acceleration change value in the target direction and the duration of the body posture angle change value, the processing system can accurately distinguish between falls and other daily activities, reduce false alarms, and improve detection accuracy; on the other hand, the concept of duration is introduced to ensure that only when the wearer's body posture angle change value exceeds a certain length of time of the second detection threshold and the acceleration change value also meets the first detection threshold condition, it will be determined as a fall state. This avoids accidental data fluctuations in a short period of time being mistaken for falls, and enhances the stability and reliability of the system.

[0053] In an optional embodiment, when the processing system detects that the headphone wearer is in a falling state, the processing system triggers an alarm message through the headphone. After the alarm message is triggered through the headphone, the processing system detects whether the headphone receives feedback information from the headphone wearer within a second preset time period, wherein the feedback information is used to determine whether the headphone wearer has responded to the alarm message. When it is detected that the headphone receives feedback information from the headphone wearer within the second preset time period, the processing system prohibits sending a remote help message through the built-in communication device of the headphone. When it is detected that the headphone does not receive feedback information from the headphone wearer within the second preset time period, the processing system sends a remote help message through the built-in communication device of the headphone.

[0054] Optionally, when the processing system of the smart headset detects that the wearer is in a fall state, that is, the first value (instantaneous acceleration change value) and the second value (body posture angle change value) both exceed a preset threshold, and the abnormal state of the second value persists for a first preset time period, the smart headset immediately triggers an alarm message. This alarm plays an alarm sound through the in-ear speaker and generates tactile feedback through the vibration motor to alert the wearer.

[0055] Optionally, after the alarm is triggered, the processing system enters a waiting mode for feedback and sets a second preset time (e.g., 30 seconds) to monitor whether the wearer responds through the headset. During this time, the headset's built-in interactive module (microphone, touch area, etc.) is activated to receive any operations from the wearer, such as clicks, taps, and voice commands.

[0056] Optionally, if the processing system detects that the headset receives feedback within a second preset duration, indicating that the wearer has acknowledged the alarm and is able to handle the situation on their own or is otherwise fine, the alarm is canceled and the sending of the remote assistance message is prohibited. Conversely, if no feedback is received within the set time, the processing system will automatically send a remote assistance message via the headset's built-in communication device to notify the preset emergency contact of the situation. The message will include the wearer's location information and a timestamp, as well as optional additional on-site descriptions such as audio clips, so that the emergency contact can quickly understand the situation and take action.

[0057] Optionally, after detecting a fall, the headset plays an alarm sound and vibrates (such as "You have fallen, please confirm whether you need help"). If the user does not operate the headset within 30 seconds (such as clicking the touch area to cancel the alarm), remote help will be automatically triggered, that is, a help message containing location and time will be sent to the emergency contact through the communication device, accompanied by recordings, ambient sound clips, etc.

[0058] Optionally, the processing system combines local reminders such as sound and vibration with remote signal transmission, taking into account both autonomous responses and passive requests for help from users, which can effectively avoid false alarms or missed alarms.

[0059] As can be seen from the above, the above implementation steps establish a hierarchical response mechanism that can intelligently distinguish the wearer's ability to handle a fall event, effectively avoiding unnecessary emergency communications while ensuring that rescue signals are sent promptly when the wearer is unable to respond autonomously. This mechanism not only improves the targeted nature of alarms, reduces false alarms and interference, but also provides the wearer with a user-friendly way to handle emergencies. Specifically, through local triggering of the alarm information, the wearer is given an immediate reminder, allowing them to cancel the alarm without hindrance. The remote sending of a help message after no feedback is received is a second line of defense in the event that the wearer may be injured or unable to respond, allowing for quick external assistance and accelerating the rescue response. This design not only ensures user safety but also takes into account the reduction of unnecessary consumption of emergency communication resources, reflecting the sophistication and humanization of smart devices in emergency response.

[0060] In an optional embodiment, the processing system configures N emergency contacts through a smart device that establishes a communication connection with the headset, and sets different level information for the N emergency contacts, where N is an integer greater than or equal to 1.

[0061] Optionally, the user sets up emergency contacts through a dedicated application on a smart device (usually a smartphone) that establishes a communication connection with the smart headset. This setting process allows the user to add N emergency contacts, where N is a user-defined integer greater than or equal to 1, to ensure that appropriate contacts receive alerts in different situations. In order to handle emergencies more efficiently, the processing system of the smart headset supports the setting of hierarchical information for emergency contacts. This usually means that the user can classify emergency contacts into different priorities. For example, family members may be set to the first level, while neighbors or friends are set to the second level, and so on. The purpose of this hierarchical setting is to be able to notify the closest person or the person who can take immediate action first in an emergency.

[0062] As can be seen from the above content, the implementation of the emergency contact configuration and level information setting mechanism significantly enhances the efficiency and pertinence of smart headsets in emergency situations. Users can flexibly set the number and priority of emergency contacts according to their actual situation and needs, ensuring that the most appropriate contacts are notified first when needed. This customized option improves the practicality and effectiveness of security alerts. By adopting a hierarchical strategy for emergency contacts, the system can send alerts to the contacts most likely to provide immediate assistance at the first time. If the first-level contact is unable to respond, the system will automatically send information to the next level of contacts until someone who can take action is contacted. This mechanism ensures that the alert can not only be issued, but also effectively received and responded to. By setting the priority of emergency contacts, smart headsets can avoid sending alerts to all contacts at the same time, reducing the consumption of communication resources, while ensuring the efficiency of alert information dissemination and the emergency response capabilities of emergency contacts.

[0063] In an optional embodiment, the processing system sends remote help information to N emergency contacts in sequence through the communication device built into the headset based on the level information of each emergency contact, wherein the remote help information includes at least preset help text information, location information of the headset wearer, and positioning information.

[0064] Optionally, once the processing system of the headset detects that the wearer may fall and does not receive feedback from the wearer confirming that they are fine within a certain period of time (such as a second preset time length), the system will start the emergency response program. The processing system will send remote help messages to N emergency contacts in sequence through the built-in communication device of the headset according to the pre-set level information. This process ensures the efficient use of contact priority, that is, try to contact emergency contacts with higher levels first. After each help message is sent, the system will wait for a response for a short time. If the contact with the higher level fails to respond, the system will automatically send a message to the contact at the next level until all N emergency contacts are notified or a contact responds.

[0065] Optionally, the remote help message includes at least a preset help text message, such as: "Emergency help: Your relatives or friends may have fallen, please confirm the situation immediately." In addition, the message will also be accompanied by the location information and positioning information of the headphone wearer. This information is usually provided by the built-in positioning module of the headset (such as GPS, Beidou or Bluetooth AOA), ensuring that emergency contacts can quickly locate the wearer's position and launch rescue in time. It can also include movement data of the headphone wearer within a period of time before and after the fall (such as within 10 seconds before and after the fall).

[0066] Optionally, when the headphone wearer falls while running, the headphone detects a sudden increase in acceleration (e.g., from 5m / s 2 Sudden rise to 12m / s 2) and the posture angle changes from upright to horizontal and lasts for a period of time, the local alarm is triggered immediately. Since the headset supports the wearer to actively cancel the alarm (such as knocking the headset 3 times in a row), if the wearer does not operate the headset due to injury, the charging box or headset will send a text message to the emergency contact through the eSIM after 30 seconds: "Your family member may have fallen, location: No. XX, XX Road, time: XX", and attach the approximate range of Bluetooth positioning.

[0067] As can be seen from the above, by defining multiple levels of priority for emergency contacts, the system can rationally arrange the order in which help messages are sent based on the severity of the emergency and the contact's ability to respond. This not only speeds up rescue efforts but also increases the probability of successful contact. Remote help messages contain pre-set help text, the wearer's location information, and positioning information. This detailed information helps emergency contacts quickly understand the urgency of the situation and accurately determine the wearer's specific location, thereby accelerating rescue operations. Even if a higher-level emergency contact cannot be contacted temporarily, the system will continuously attempt to send help messages to the next level of contacts to ensure that at least one person receives the alert, avoiding rescue delays caused by a single contact's inability to respond.

[0068] In an optional embodiment, the motion state includes M states, wherein the M states include at least a stationary state, a walking state, a running state, and a cycling state, and the processing system sets a first detection threshold and a second detection threshold corresponding to each of the M states.

[0069] Optionally, the smart headset has built-in sensing devices that can instantly analyze the user's current state, including but not limited to static state, walking state, running state, and cycling state. This state recognition is accomplished by comprehensively analyzing the output data of the accelerometer, gyroscope, and possibly other sensors. For example, the static state may be characterized by small acceleration (first value) and posture angle change (second value) on all axes; the walking state shows regular gait vibrations; the running state has a higher acceleration change frequency and amplitude; and the cycling state shows a stable posture under high-speed movement.

[0070] Optionally, once the user's motion state is identified, the processing system will immediately adjust the first detection threshold (instantaneous acceleration change threshold) and the second detection threshold (posture angle change threshold) to adapt to the characteristics of the current motion. For example, in a stationary state, the first detection threshold is set to a low 3g and the second detection threshold is set to a low 15°, because in this case, slight movement or shaking should not trigger a fall alarm; in a running state, the thresholds may be increased to 6g and 40°, respectively, to filter out normal running bumps and rapid posture changes; in a cycling state, due to the greater exposure to external impacts and potential dangers, the first and second detection thresholds will be set to the highest, such as above 8g and above 45°, to ensure that possible falls can be accurately captured even at high speeds.

[0071] As can be seen from the above, the system can adaptively adjust the detection threshold through this method, achieving an organic combination of motion state perception and dynamic adjustment of the fall detection threshold, greatly improving the accuracy and applicability of fall detection in smart headphones. This not only reduces the probability of false alarms in different motion environments, but also ensures timely response and effective emergency measures when help is truly needed.

[0072] In an optional embodiment, when the processing system detects that the earphone is being worn, the processing system adjusts the sampling frequency of the sensor device built into the earphone according to the motion state of the wearer of the earphone.

[0073] Optionally, when the processing system detects that the headset is being worn, it intelligently adjusts the sampling frequency of the headset's built-in sensor devices (accelerometer and gyroscope) based on the wearer's motion state. When stationary or exercising at low intensity, the sampling frequency is reduced to reduce power consumption and extend the headset's usage time. During high-intensity exercise or specific high-risk activities (such as running and cycling), the sampling frequency is increased to ensure that potential falls can be captured more accurately.

[0074] Optionally, this mechanism dynamically adjusts the sampling frequency to improve fall detection accuracy and response time. In high-dynamic motion scenarios, a higher sampling frequency can capture rapidly changing motion data, allowing the processing system to promptly identify dramatic changes in motion, such as sudden increases in acceleration or large changes in posture angle, and accurately determine whether a fall has occurred.

[0075] From the above, it can be seen that the processing system can optimize the fall detection function of the headphone wearer in different motion states by dynamically adjusting the sampling frequency of the sensor device. Specifically, in non-high-risk motion states, lowering the sampling frequency helps reduce sensor power consumption and extend the battery life of the headphones. This feature is especially important for everyday wearers, ensuring that the headphones can remain in operation for a long time when high-intensity monitoring is not required. In high-dynamic motion scenarios, increasing the sampling frequency increases the density and real-time nature of the data, which helps the processing system to more accurately capture the wearer's motion details. In particular, in the event of a sudden fall, it can identify abnormal motion states earlier, improving the timeliness and accuracy of fall detection. The dynamic adjustment of the sampling frequency strategy enables smart headphones to adapt to a variety of usage scenarios. Whether it is a calm daily activity or a variable outdoor sports, the headphones can adjust their sensor working mode to respond to the wearer's needs in the best state and provide personalized safety protection.

[0076] In an optional embodiment, when the processing system detects that the headset is not being worn, the processing system adjusts the state of the sensor device built into the headset to a dormant state.

[0077] Optionally, upon detecting that the headset is not being worn, the processing system automatically puts the headset's built-in sensor devices (including accelerometers, gyroscopes, etc.) into a dormant state. In dormant state, the sensors stop collecting data or only periodically check their status with very low power consumption, significantly reducing the device's overall power consumption.

[0078] Optionally, the processing system continues to monitor the contact sensor or earcup pressure sensor after the headphones enter sleep mode. Once it detects that the headphones have been put on again, it immediately wakes up the sensing device and resumes normal operation to ensure the real-time and effectiveness of the fall detection function. This mechanism allows smart headphones to automatically save power when not in use and quickly resume function when the wearer puts them on again. Especially when the headphones have not been worn for an extended period of time, the sleep mode can significantly extend the standby time of the headphones and improve the overall energy efficiency of the device.

[0079] Optionally, the processing system adopts a sleep-wake-up mechanism (activating the sensor device only when worn), which can extend the battery life of the headset.

[0080] From the above content, it can be seen that the processing system automatically identifies the unworn state of the headset and adjusts the sensor to enter the sleep state, thereby achieving power consumption optimization and efficient resource management of the device. The specific technical effects are as follows: the sensor enters the sleep state when not worn, which significantly reduces the power consumption of the headset when not in operation, extends the battery life, and enables users to ensure that the device has sufficient power when needed, especially during long-distance travel or outdoor activities. This feature is particularly important; through intelligent monitoring of the wearing status, the processing system can quickly wake up the sensor when the user wears the headset to ensure the real-time and accuracy of the fall detection function, and when the headset is not worn, the sleep mechanism reduces unnecessary power consumption, achieving an efficient balance between device performance and power resources; the automated sleep and wake-up mechanism does not require manual operation by the user, which improves the ease of use and intelligence level of the device. Users no longer need to worry about forgetting to turn off or turn on certain functions. The smart headset can automatically adjust according to the wearing status to provide a burden-free user experience.

[0081] The embodiment of the present application further provides a fall monitoring device. It should be noted that the fall monitoring device of the embodiment of the present application can be used to execute the fall monitoring method provided in the embodiment of the present application. The fall monitoring device provided in the embodiment of the present application is introduced below.

[0082] According to an embodiment of the present application, a device for implementing the above-mentioned fall monitoring method is also provided. Figure 2 is a schematic diagram of an optional fall monitoring device according to an embodiment of the present application, such as Figure 2 As shown, the apparatus includes: a collecting unit 201 , a first determining unit 202 , a second determining unit 203 , a third determining unit 204 and a sending unit 205 .

[0083] Optionally, the collecting unit 201 is used to collect a first value and a second value of the headphone wearer through a built-in sensing device of the headphone when it is detected that the headphone is in a wearing state, wherein the first value is used to characterize the instantaneous acceleration change value of the headphone wearer in the target direction, and the second value is used to characterize the body posture angle change value of the headphone wearer; the first determining unit 202 is used to determine the motion state of the headphone wearer based on the first value and the second value; the second determining unit 203 is used to determine a first detection threshold and a second detection threshold based on the motion state, wherein the first detection threshold is used to determine whether the headphone wearer is in an abnormal acceleration change, and the second detection threshold is used to determine whether the headphone wearer is in an abnormal body posture angle; the third determining unit 204 is used to determine whether the headphone wearer is in a falling state based on the first detection threshold, the second detection threshold, the first value and the second value; the sending unit 205 is used to send a remote help message through the built-in communication device of the headphone when it is detected that the headphone wearer is in a falling state.

[0084] Optionally, the third determination unit 204 includes: a first detection subunit, a second detection subunit, a third detection subunit, and the first determination subunit. The first detection subunit is configured to detect whether the first value is greater than or equal to a first detection threshold; the second detection subunit is configured to detect whether the second value is greater than or equal to a second detection threshold; the third detection subunit is configured to, upon detecting that the second value is greater than or equal to the second detection threshold, detect a duration for which the second value is greater than or equal to the second detection threshold; and the first determination subunit is configured to determine that the headphone wearer has fallen when detecting that the duration is greater than or equal to a first preset duration and the first value is greater than or equal to the first detection threshold.

[0085] Optionally, the sending unit 205 includes: a first triggering subunit, a fourth detection subunit, a first processing subunit, and a first sending subunit. The first triggering subunit is configured to trigger an alarm message through the earphone when detecting that the earphone wearer is in a fall state; the fourth detection subunit is configured to detect whether the earphone receives feedback from the earphone wearer within a second preset time period after triggering the alarm message through the earphone, wherein the feedback information is used to determine whether the earphone wearer has responded to the alarm message; the first processing subunit is configured to prohibit sending a remote help message through the earphone built-in communication device when detecting that the earphone receives feedback from the earphone wearer within the second preset time period; and the first sending subunit is configured to send a remote help message through the earphone built-in communication device when detecting that the earphone does not receive feedback from the earphone wearer within the second preset time period.

[0086] Optionally, the sending unit 205 includes: an acquisition module for recording the time information when the headphone wearer is in the falling state; a positioning module for obtaining the location information of the headphone wearer when the headphone wearer is in the falling state; a Bluetooth module for obtaining the positioning information of the headphone wearer when the headphone wearer is in the falling state; and the communication device for sending the remote help information when it is detected that the headphone wearer is in the falling state, wherein the remote help includes time information, the location information of the headphone wearer and the positioning information.

[0087] Optionally, the fall monitoring device further includes: a setting unit, configured to configure N emergency contacts through a smart device that establishes a communication connection with the headset, and set different level information for the N emergency contacts, where N is an integer greater than or equal to 1.

[0088] Optionally, the first sending subunit includes: a first sending module, which is used to send remote help information to N emergency contacts in sequence through the communication device built into the headset based on the level information of each emergency contact; wherein the remote help information includes at least preset help text information, location information of the headset wearer, and positioning information.

[0089] Optionally, the second determining unit 203 includes: a first setting subunit, configured to set, for each of the M states, a first detection threshold and a second detection threshold corresponding to the state.

[0090] Optionally, the fall monitoring device further includes: a first adjustment unit, configured to adjust the sampling frequency of a sensor device built into the headset according to the motion state of the headset wearer when detecting that the headset is in a wearing state.

[0091] Optionally, the fall monitoring device further includes: a second adjustment unit, configured to adjust the state of a sensor device built into the headset to a dormant state when detecting that the headset is not being worn.

[0092] The serial numbers of the above embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0093] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0094] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0095] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0096] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0097] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0098] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A fall monitoring method, characterized in that: include: When the headset is detected to be in a wearing state, a first value and a second value of the headset wearer are collected by a sensor device built into the headset, wherein the first value is used to represent an instantaneous acceleration change value of the headset wearer in a target direction, and the second value is used to represent a body posture angle change value of the headset wearer; determining a motion state of the headphone wearer according to the first value and the second value; determining a first detection threshold and a second detection threshold according to the motion state, wherein the first detection threshold is used to determine whether the headphone wearer is in an abnormal acceleration change, and the second detection threshold is used to determine whether the headphone wearer is in an abnormal body posture angle; determining whether the headphone wearer is in a falling state according to the first detection threshold, the second detection threshold, the first value, and the second value; When it is detected that the headset wearer is in the falling state, a remote help message is sent through the communication device built into the headset.

2. The fall monitoring method according to claim 1, characterized in that: Determining whether the headphone wearer is in a falling state according to the first detection threshold, the second detection threshold, the first value, and the second value includes: detecting whether the first value is greater than or equal to the first detection threshold; detecting whether the second value is greater than or equal to the second detection threshold; When detecting that the second value is greater than or equal to the second detection threshold, detecting a duration during which the second value is greater than or equal to the second detection threshold; When it is detected that the duration is greater than or equal to the first preset duration, and the first value is greater than or equal to the first detection threshold, it is determined that the headphone wearer is in the fall state.

3. The fall monitoring method according to claim 1, characterized in that: When it is detected that the headset wearer is in the fall state, sending a remote help message through the built-in communication device of the headset, including: When detecting that the headphone wearer is in the falling state, triggering an alarm message through the headphone; After the alarm information is triggered by the headset, detecting whether the headset receives feedback information from the headset wearer within a second preset time period, wherein the feedback information is used to determine whether the headset wearer has responded to the alarm information; When it is detected that the headset receives feedback information from the headset wearer within the second preset time period, prohibiting the sending of the remote help information through the communication device built into the headset; When it is detected that the headset does not receive any feedback information from the headset wearer within the second preset time period, the remote help information is sent through the communication device built into the headset.

4. The fall monitoring method according to claim 3, characterized in that: Before sending the remote help information through the communication device built into the headset, the method further includes: N emergency contacts are configured through a smart device that establishes a communication connection with the headset, and different level information is set for the N emergency contacts, where N is an integer greater than or equal to 1.

5. The fall monitoring method according to claim 4, characterized in that: When it is detected that the headset does not receive feedback information from the headset wearer within the second preset time period, sending the remote help information through the built-in communication device of the headset includes: Based on the level information of each emergency contact, the remote assistance information is sent to the N emergency contacts in sequence through the communication device built into the headset; The remote help information at least includes preset help text information, time information, location information of the headset wearer, and positioning information.

6. The fall monitoring method according to claim 1, characterized in that: The motion state includes M states, wherein the M states include at least a stationary state, a walking state, a running state, and a cycling state. Determining the first detection threshold and the second detection threshold according to the motion state includes: For each of the M states, the first detection threshold and the second detection threshold corresponding to the state are set.

7. The fall monitoring method according to claim 1, characterized in that: The method further comprises: When it is detected that the earphone is in the wearing state, the sampling frequency of the sensor device built into the earphone is adjusted according to the motion state of the earphone wearer.

8. The fall monitoring method according to claim 1, characterized in that: The method further comprises: When it is detected that the earphone is not being worn, the state of the sensor device built into the earphone is adjusted to a dormant state.

9. A fall monitoring device, characterized in that: include: a collection unit, configured to collect, when detecting that the headset is being worn, a first value and a second value of the headset wearer through a sensor device built into the headset, wherein the first value is used to represent an instantaneous acceleration change value of the headset wearer in a target direction, and the second value is used to represent a body posture angle change value of the headset wearer; a first determining unit, configured to determine a motion state of the headphone wearer according to the first value and the second value; a second determining unit, configured to determine a first detection threshold and a second detection threshold according to the motion state, wherein the first detection threshold is used to determine whether the headphone wearer is in an abnormal acceleration change, and the second detection threshold is used to determine whether the headphone wearer is in an abnormal body posture angle; a third determining unit, configured to determine whether the headphone wearer is in a falling state according to the first detection threshold, the second detection threshold, the first value, and the second value; The sending unit is used to send a remote help message through the communication device built into the headset when it is detected that the headset wearer is in the fall state.

10. The fall monitoring device according to claim 9, characterized in that: The sending unit includes: Acquisition module: used for recording time information when the headphone wearer is in the falling state; a positioning module, configured to obtain location information of the headphone wearer when the headphone wearer is in the falling state; A Bluetooth module, configured to obtain positioning information of the headphone wearer when the headphone wearer is in the fallen state; The communication device is configured to send the remote help information when detecting that the headphone wearer is in the fall state, wherein the remote help information includes time information, location information of the headphone wearer, and positioning information.

Images