Ring-type wearable electronic device

Abstract

The present disclosure provides a ring-type wearable electronic device. The ring-type wearable electronic device comprises a communication circuit, a microphone, a sensor, a memory, and at least one processor including a processing circuit, wherein the memory may store instructions that, when executed individually or collectively by the at least one processor, instruct the ring-type wearable electronic device to: identify that the ring-type wearable electronic device approaches a user's mouth on the basis of at least one of an input signal of the sensor or an input signal of the microphone; and transmit a voice signal obtained through the microphone to a first electronic device connected to the ring-type wearable electronic device through the communication circuit on the basis of identifying that the ring-type wearable electronic device approaches the user's mouth.

Description

ring-shaped wearable electronic device

[0001] The present disclosure relates to a wearable electronic device having a hole into which a part of a user's body can be inserted.

[0002] Wearable electronic devices are devices that can be worn on the body, such as clothing, watches, or glasses. Wearable electronic devices can be categorized into various types, such as smart glasses, smart watches, and ring-type wearable electronic devices (or smart rings), depending on their form.

[0003] Among wearable electronic devices, ring-type wearable electronic devices are worn by inserting a part of the user's body (e.g., a finger) into a hole provided on the inside. When worn, the smart ring can detect the user's vital signs through various sensors, analyze these signals, and provide the user with analysis data such as pulse, sleep level, and blood pressure.

[0004] Ring-type wearable electronic devices can be worn on fingers with easy movement, so they can be used for various hand-use activities.

[0005] The above information may be provided as background art to aid in understanding the present disclosure. No claim or determination is made as to whether any of the above-described matters constitute prior art related to the present disclosure.

[0006] According to one embodiment of the present disclosure, a ring-type wearable electronic device includes at least one processor including a communication circuit; a microphone; a sensor; a memory; and a processing circuit; wherein the memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to:

[0007] The ring-type wearable electronic device can store instructions that identify that the ring-type wearable electronic device is in proximity to the user's mouth based on at least one of an input signal of the sensor or an input signal of the microphone, and cause the ring-type wearable electronic device to transmit a voice signal acquired through the microphone to a first electronic device connected to the ring-type wearable electronic device through the communication circuit based on the identification that the ring-type wearable electronic device is in proximity to the user's mouth.

[0008] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to: identify proximity of the ring-type wearable electronic device to a user's mouth from an input signal of the sensor based on a proximity detection model learned to identify a user's movement based on sensor data acquired by the movement of a person wearing the ring-type wearable electronic device.

[0009] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to: accumulate an input signal of the sensor when the ring-type wearable electronic device detects proximity to a user's mouth and transmit the accumulated signal to the first electronic device at each first cycle; and receive a retrained proximity detection model based on the accumulated sensor input signal from the first electronic device.

[0010] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to identify proximity of the user's mouth to at least one of an input signal of the microphone or the sensor signal based on a proximity detection model learned to identify whether at least one of the user's voice data acquired by the microphone through the user's breathing or speaking or the movement sensor data acquired by the sensor through the user's movement is the user's voice.

[0011] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to: receive a voice signal while the microphone remains activated while the ring-type wearable electronic device is identified as being in proximity to a user's mouth.

[0012] According to one embodiment, the device further comprises an LED, and the memory can store instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to: generate a control signal causing the LED to illuminate while the microphone is active.

[0013] According to one embodiment, the device further comprises a touch sensor, wherein the memory stores instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to: receive a voice signal through the microphone while a touch is detected by the touch sensor.

[0014] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to: tune or regenerate the voice signal according to the quality of the voice signal using an audio AI model learned for voice data processing, and then transmit the tuned or regenerated voice signal to the first electronic device.

[0015] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to: activate the microphone in response to receiving a microphone control signal from the first electronic device, and transmit a voice signal acquired by the activated microphone to the first electronic device.

[0016] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the ring-type wearable electronic device to: activate the microphone in response to recognizing a voice signal including a specific keyword related to voice recording, a specific touch signal, or a specific finger gesture, and transmit a voice signal acquired by the activated microphone and a request for voice recording to the first electronic device.

[0017] According to one embodiment, a method of operating a wearable electronic device may be provided. The method may identify that the ring-type wearable electronic device is in proximity to a user's mouth based on at least one of an input signal of the sensor and an input signal of the microphone. The method may transmit a voice signal acquired through the microphone to a first electronic device connected to the ring-type wearable electronic device through the communication circuit based on the identification that the ring-type wearable electronic device is in proximity to the user's mouth.

[0018] According to one embodiment, a storage medium storing at least one computer-readable instruction may be provided. The at least one instruction, when executed by at least a part of at least one processor of a wearable electronic device, may cause the wearable electronic device to perform at least one operation. The at least one operation may identify that the ring-type wearable electronic device is in proximity to a user's mouth based on at least one of an input signal of the sensor or an input signal of the microphone. The at least one operation may transmit a voice signal acquired through the microphone to a first electronic device connected to the ring-type wearable electronic device through the communication circuit based on the identification that the ring-type wearable electronic device is in proximity to the user's mouth.

[0019] According to another embodiment of the present disclosure, an electronic device includes at least one processor including a microphone; a speaker; a communication circuit; a memory; and a processing circuit; wherein the memory can store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: receive a voice signal from a ring-type wearable electronic device connected to the electronic device based on identification that the ring-type wearable electronic device is close to a user's mouth during a voice call with an external electronic device, and transmit the voice signal to the external electronic device through the communication circuit.

[0020] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: determine whether the voice signal satisfies a reference quality for a voice call using an audio AI model learned for voice data processing, and in response to the voice signal not meeting the reference quality, perform tuning or regeneration on the voice signal.

[0021] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: determine whether the voice signal satisfies a reference quality for a voice call using an audio AI model learned for voice data processing, and in response to the voice signal not meeting the reference quality, perform tuning or regeneration on the voice signal.

[0022] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: generate additional information about the voice signal using the audio AI model, wherein the additional information relates to at least one of a voice call environment, voice quality, a user context, or a user; and transmit the additional information to the external electronic device along with the output signal.

[0023] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: in response to receiving a voice recording request and a voice signal from the ring-type wearable electronic device, store the received voice signal as voice recording data in the memory.

[0024] According to one embodiment, the device further comprises a display, and the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: display a setting screen for a type of user input for controlling at least one function of the ring-type wearable electronic device through the display, and add, change, or delete a type of user input for controlling at least one function of the ring-type wearable electronic device based on an input value of the setting screen.

[0025] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: adaptively select a microphone of the TWS wearable electronic device or a microphone of the ring-type wearable electronic device and transmit a voice signal received by the selected microphone to the external electronic device, while the TWS wearable electronic device connected to the electronic device is worn by the user, to at least one change among whether the ring-type wearable electronic device identifies that the ring-type wearable electronic device is close to the user's mouth, or whether a voice signal of the ring-type wearable electronic device is clearer than a voice signal of the TWS wearable electronic device.

[0026] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: perform a communication connection with a plurality of ring-type wearable electronic devices located within a connectable range of the electronic device; select the first ring-type wearable electronic device as an input device for a voice call with the external electronic device based on identifying that the first ring-type wearable electronic device among the plurality of ring-type wearable electronic devices is close to the user's mouth; and transmit a voice signal received from the first ring-type wearable electronic device to the external electronic device.

[0027] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: transmit an alarm signal to the ring-type wearable electronic device in response to receiving a voice call request from an external electronic device; select the ring-type wearable electronic device as an input device for a voice call with the external electronic device based on identification from the ring-type wearable electronic device that the ring-type wearable electronic device is close to a user's mouth; and transmit a voice signal received from the ring-type wearable electronic device to the external electronic device.

[0028] According to one embodiment, the memory may store instructions that, when individually or collectively executed by the at least one processor, cause the electronic device to: receive an accumulated sensor input signal from the ring-type wearable electronic device when the ring-type wearable electronic device detects proximity to a user's mouth at each first cycle, retrain a proximity detection model based on the received sensor input signal, and transmit the retrained proximity detection model to the ring-type wearable electronic device.

[0029] According to one embodiment, a method of operating an electronic device may be provided. The method may receive a voice signal from a ring-type wearable electronic device connected to the electronic device based on identification that the ring-type wearable electronic device is in proximity to a user's mouth during a voice call with the external electronic device. The method may transmit the voice signal to the external electronic device via the communication circuit.

[0030] According to one embodiment, a storage medium storing at least one computer-readable instruction may be provided. The at least one instruction, when executed by at least a portion of at least one processor of an electronic device, may cause the electronic device to perform at least one operation. The at least one operation may include receiving a voice signal from a ring-type wearable electronic device connected to the electronic device based on identifying that the ring-type wearable electronic device is close to a user's mouth during a voice call with the external electronic device. The at least one operation may transmit the voice signal to the external electronic device via the communication circuit.

[0031] In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

[0032] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to various embodiments.

[0033] FIG. 2 is a block diagram of a wearable device according to one embodiment of the present disclosure.

[0034] FIG. 3A is a perspective view showing an outer frame of a wearable device and a fixing member installed on the outer frame according to one embodiment of the present disclosure.

[0035] FIG. 3b is a perspective view showing a state in which an electronic component unit is coupled to an outer frame according to one embodiment of the present disclosure.

[0036] FIG. 3c is a perspective view of a wearable device according to one embodiment of the present disclosure.

[0037] FIG. 4 is a plan view of a wearable device according to one embodiment of the present disclosure.

[0038] FIG. 5 is an example of wearing a wearable device according to one embodiment of the present disclosure.

[0039] FIG. 6 is a flowchart illustrating an operation of a wearable device and a mobile electronic device performing a voice call according to one embodiment of the present disclosure.

[0040] FIG. 7 is a gesture signal (a) and a gesture signal setting screen (b) of a wearable device according to one embodiment of the present disclosure.

[0041] FIG. 8 is a flowchart illustrating a method for a wearable device to perform a voice call according to one embodiment of the present disclosure.

[0042] FIG. 9 is a flowchart illustrating a method for a wearable device to perform a voice call according to one embodiment of the present disclosure.

[0043] FIG. 10 is a diagram illustrating an example of a ring-type wearable electronic device correcting a whispered voice signal for a voice call according to one embodiment of the present disclosure.

[0044] FIG. 11 is a flowchart illustrating a method for an electronic device to perform a voice call using a wearable device according to one embodiment of the present disclosure.

[0045] FIG. 12 is a diagram illustrating an example of an electronic device regenerating a voice signal according to one embodiment of the present disclosure.

[0046] FIG. 13 is a flowchart illustrating a method for a ring-type wearable electronic device according to one embodiment of the present disclosure to perform recording.

[0047] FIG. 14 illustrates examples of recording situations of a ring-type wearable electronic device according to one embodiment of the present disclosure.

[0048] FIG. 15 is a diagram for explaining a method for setting a main input / output device of a plurality of wearable electronic devices connected to an electronic device according to one embodiment of the present disclosure.

[0049] FIG. 16 is a diagram illustrating an example of an electronic device according to one embodiment of the present disclosure performing a multi-microphone function using a plurality of ring-type wearable devices.

[0050] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings so that those skilled in the art can easily implement the present disclosure. However, the present disclosure may be implemented in various different forms and is not limited to the embodiments described herein. In connection with the description of the drawings, the same or similar reference numerals may be used for identical or similar components. Furthermore, in the drawings and related descriptions, descriptions of well-known functions and configurations may be omitted for clarity and conciseness.

[0051] An embodiment of the present disclosure will be described below with reference to the attached drawings.

[0052] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to various embodiments.

[0053] Referring to FIG. 1, in a network environment (100), an electronic device (101) may communicate with an electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of an electronic device (104) or a server (108) via a second network (199) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0054] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or an auxiliary processor (123) (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 (121). For example, when the electronic device (101) includes the main processor (121) and the auxiliary processor (123), the auxiliary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a given function. The auxiliary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0055] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (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 (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (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 (101) itself where the artificial intelligence model is executed, or can be performed through a separate server (e.g., server (108)). 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.

[0056] The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or non-volatile memory (134).

[0057] The program (140) may be stored as software in the memory (130) and may include, for example, an operating system (142), middleware (144), or an application (146).

[0058] The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) 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).

[0059] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) 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.

[0060] The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. According to one embodiment, the display module (160) 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.

[0061] The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can acquire sound through the input module (150), output sound through the sound output module (155), or an external electronic device (e.g., electronic device (102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (101).

[0062] The sensor module (176) can detect the operating status (e.g., power or temperature) of the electronic device (101) 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 (176) 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.

[0063] The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) to an external electronic device (e.g., the electronic device (102)). In one embodiment, the interface (177) may include, for example, a high definition multi-media interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0064] The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., electronic device (102)). According to one embodiment, the connection terminal (178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0065] The haptic module (179) 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. According to one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0066] The camera module (180) can capture still images and videos. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0067] The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0068] A battery (189) may power at least one component of the electronic device (101). In one embodiment, the battery (189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0069] The communication module (190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., electronic device (102), electronic device (104), or server (108)), and the performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (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 (190) may include a wireless communication module (192) (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 (194) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device (104) via a first network (198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (199) (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 (192) can verify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196).

[0070] The wireless communication module (192) 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 (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can 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 (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for realizing eMBB, loss coverage (e.g., 164 dB or less) for realizing mMTC, or 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 realizing URLLC.

[0071] The antenna module (197) 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 (197) 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 (197) 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 (198) or the second network (199), may be selected from the plurality of antennas, for example, by the communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device via the at least one selected 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 (197).

[0072] According to various embodiments, the antenna module (197) 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.

[0073] 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)).

[0074] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) 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 (101). The electronic device (101) 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 (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0075] Electronic devices according to the various embodiments disclosed in this document may take various forms. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to the embodiments of this document are not limited to the aforementioned devices.

[0076] FIG. 2 is a block diagram of a wearable device according to one embodiment of the present disclosure.

[0077] According to various embodiments, the wearable electronic device (201) of FIG. 2 may be at least partially similar to the electronic device (101) of FIG. 1 or may include other embodiments of the electronic device.

[0078] A ring-type wearable electronic device (201) according to one embodiment may include an input module (210) (e.g., the input module (150) of FIG. 1), an output module (220), a communication module (230) (e.g., the communication module (190) of FIG. 1), a sensor module (240) (e.g., the sensor module (176) of FIG. 1), a memory (250) (e.g., the memory (130) of FIG. 1), a processor (260) (e.g., the processor (120) of FIG. 1), and a power module (270) (e.g., the power management module (188) of FIG. 1).

[0079] The input module (210) can receive commands or data to be used in components (e.g., processor (260)) of the ring-type wearable electronic device (201) from an external source (e.g., a user) of the ring-type wearable electronic device (201). The input module (210) can include, for example, a microphone or a touch pad. A voice signal received by the input module (210) can be converted into an electrical signal by an audio module (not shown) (e.g., audio module (170) of FIG. 1).

[0080] The output module (220) can output a signal generated in the ring-type wearable electronic device (201) to the outside. The output module (220) can include, for example, a light emitting diode (LED) light emitting element, a laser element (e.g., a vertical-cavity surface-emitting laser (VCSEL), a distributed feedback laser (DFB layer), a distributed Bragg reflector laser (DBR laser), an edge-emitting laser, a fiber laser, a semiconductor laser (laser diode)), and a haptic module. The LED light emitting element can emit green, red, or IR light for display purposes. The haptic module can convert an electrical signal into a mechanical stimulus (e.g., vibration or movement) or an electrical stimulus that a user can perceive through a tactile or kinesthetic sense. The haptic module can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0081] The communication module (230) may be configured to transmit various signals detected by the sensor module (240) to an external device (e.g., the electronic device (102) of FIG. 1) or receive signals transmitted from the external device (102). According to one embodiment, the communication module (230) may include one or more communication circuits. According to one embodiment, the communication module (230) may include a device that performs a wireless communication function of any one of Bluetooth, Wi-Fi, and Zigbee technologies. In one embodiment, the communication module (230) may include an NFC (near field communication) chip for implementing a mobile payment function.

[0082] The sensor module (240) may be configured to perform various functions. In one embodiment, the sensor module (240) may perform a movement measurement function, a gesture measurement function, a user authentication function, and / or a temperature measurement function. In one embodiment, the sensor module (240) may include at least one of various sensors to perform the various functions described above. For example, referring to FIG. 2, the sensor module (240) may include a wear detection sensor (241), an inertial sensor (242), a touch sensor (243), and a temperature sensor (244).

[0083] The wear detection sensor (241) can detect whether the user is wearing the device by measuring body data. For example, the wear detection sensor (241) may include an infrared (IR) sensor (IR LED), a photoplethysmography (PPG) sensor, a biomarker detection sensor, a pressure sensor, or an electrode sensor. The PPG sensor may measure the user's blood oxygen saturation (SpO2). The PPG sensor may include a light emitting unit (not shown) configured to emit light toward the user's finger when the user wears the ring-type wearable electronic device (201), and a light receiving unit (not shown) configured to receive light transmitted or reflected by blood vessels inside the user's finger among the light emitted from the light emitting unit. In one embodiment, the light emitting unit may include at least one light source. For example, the at least one light source may include at least one of a red LED or an infrared LED. In one embodiment, the light receiving unit may include at least one photodiode. The processor (260) can detect that the ring-type wearable electronic device (201) is worn on at least a part of the user's body when input data from the user's body is received from the PPG sensor. The wearing detection sensor (241) can receive input signals while being periodically activated or while maintaining a low-power state.

[0084] The biomarker sensor measures components inside the user's body, such as blood or skin, and can measure, for example, hemoglobin (Hb) and oxyhemoglobin (HbO2) in the blood. When hemoglobin (Hb) and oxyhemoglobin (HbO2) in the blood are measured from the biomarker sensor, the processor (260) can detect that the ring-type wearable electronic device (201) is worn on at least a part of the user's body. The inertial sensor (242) can receive an input signal according to the body movement of the user wearing the ring-type wearable electronic device (201). In one embodiment, the inertial sensor (242) can include an acceleration sensor and a gyro sensor. The inertial sensor (242) can sense acceleration values ​​in the X-axis, Y-axis, and Z-axis directions according to the body movement of the user. In one embodiment, the acceleration sensor may be replaced by a gyro sensor (not shown) or may be combined with a gyro sensor to detect the user's movements. When a sensor value is received by the inertial sensor (242), the processor (260) may determine that the user is wearing the ring-type wearable electronic device (201) and moving.

[0085] The touch sensor (243) may include touch circuitry configured to detect a user's touch. A pressure sensor may be further included along with the touch sensor (243). The pressure sensor may include sensor circuitry designed to measure the intensity of a force generated by a touch. The touch sensor (243) and the pressure sensor may be arranged to overlap each other.

[0086] The temperature sensor (244) can detect the user's body temperature or the temperature of an object. The temperature sensor (244) may be a contact sensor or a non-contact sensor. If a temperature within the user's body temperature range is detected by the temperature sensor (244), the processor (260) can detect that the ring-type wearable electronic device (201) is worn on at least a portion of the user's body.

[0087] In various embodiments, the sensor module (240) may further include various sensors. For example, the sensor module (240) may further include an electrodermal activity (EDA) sensor, an electrocardiogram (ECG) sensor, and a fingerprint sensor.

[0088] In one embodiment, the processor (260) may measure the electrical conductivity of the skin using an electrodermal activity (EDA) sensor. For example, among the EDA sensors, a galvanic skin response (GSR) sensor may be configured to detect changes in skin humidity caused by the body's sympathetic nervous system as changes in electrical resistance. In this case, the processor (260) may determine whether the user is currently awake or drowsy based on a change in the resistance of the GSR sensor corresponding to a change in skin humidity, thereby determining whether the user is sleeping. For example, the processor (260) may simultaneously measure a skin impedance response (SIR) corresponding to an AC component and an overall skin impedance level (SIL) corresponding to a DC component using a signal from the GSR sensor to determine whether the user is drowsy. Specifically, when the user is drowsy, the occurrence interval of the SIR becomes longer, the occurrence frequency decreases, and the SIL increases.

[0089] In one embodiment, the ECG sensor may be configured to measure the rate and regularity of a user's heartbeat. In one embodiment, the ECG sensor may be used to examine the size and position of the user's heart, or to determine whether there is damage to the heart. For example, the ECG sensor may be used to measure and diagnose abnormal heart rhythms. In particular, the ECG sensor is effective in measuring abnormal rhythms caused by damage to conductive tissue that transmits electrical signals.

[0090] In one embodiment, the fingerprint sensor may be implemented as, for example, an optical fingerprint recognition method, a capacitive fingerprint recognition method, or an ultrasonic fingerprint recognition method, but the present disclosure is not limited thereto.

[0091] The memory (250) can store various data used by at least one component (e.g., a processor (260) or a sensor module (240)) of the ring-type wearable electronic device (201). The data can include, for example, software (e.g., a program or a neural network model) and input data or output data for commands related thereto. The memory (250) can include volatile memory or non-volatile memory.

[0092] The processor (260) may be configured to perform the overall operation of the ring-type wearable electronic device (201).

[0093] The processor (260) can control the operations of the ring-type wearable electronic device (201) by executing commands stored in the memory (250). For example, the processor (260) can correspond to a plurality of processors that collectively perform a plurality of operations by dividing them among the processors.

[0094] In one embodiment, the processor (260) may detect that the ring-type wearable electronic device (201) is in proximity to the user's mouth based on at least one of an input signal of the inertial sensor (242) and an input signal of the microphone (210). In response to detecting the proximity to the user's mouth, the processor (260) may receive a voice signal through the microphone (210) and transmit the voice signal to a first electronic device (e.g., electronic device (101)) paired with the ring-type wearable electronic device through the communication module (230).

[0095] According to one embodiment, the processor (260) can detect that the ring-type wearable electronic device (201) is close to the user's mouth based on a result of inferring whether the input signal of the inertial sensor (242) is a gesture of bringing it to the user's mouth using a proximity detection model learned from inertial sensor data on human movement.

[0096] According to one embodiment, the processor (260) accumulates an input signal of the inertial sensor (242) when the ring-type wearable electronic device (201) detects proximity to the user's mouth and transmits it to the first electronic device (101) at every first cycle, and in response to receiving a relearned proximity detection model from the first electronic device (101), changes the proximity detection model stored in the memory (250) to the received relearned proximity detection model.

[0097] According to one embodiment, the processor (260) can detect that the ring-type wearable electronic device (201) is close to the user's mouth based on the result of inferring whether the input signal of the microphone (210) is the user's own breathing or voice using a proximity detection model learned from the user's voice data.

[0098] According to one embodiment, the processor (260) can receive a voice signal while maintaining an activated state for a microphone of the ring-type wearable electronic device (201) while the ring-type wearable electronic device (201) is in proximity to a user's mouth. The ring-type wearable electronic device (201) can include one or more microphones. When the ring-type wearable electronic device (201) has a plurality of microphones, the microphones can be spaced apart from each other. According to one embodiment, the processor (260) can generate a control signal to light an LED of the ring-type wearable electronic device (201) while the microphone is in an activated state.

[0099] According to one embodiment, the processor (260) can receive a voice signal through the microphone (210) while a touch is detected by the touch sensor (243).

[0100] According to one embodiment, the processor (260) may use an audio AI model learned for voice data processing to tune or regenerate a voice signal according to the quality of the voice signal input by the microphone (201), and then transmit the same to the first electronic device (101).

[0101] According to one embodiment, the processor (260) may activate the microphone (210) in response to receiving a microphone control signal from the first electronic device (101) to receive a voice signal and transmit the voice signal to the first electronic device (101).

[0102] According to one embodiment, the processor (260) may, in response to recognizing a voice signal including a specific keyword related to a voice recording, a specific touch signal, or a specific finger gesture, activate the microphone (210) to receive the voice signal, and transmit the voice signal to the first electronic device (101) to request generation of recording data.

[0103] The power module (270) can provide power to the ring-type wearable electronic device (201). In one embodiment, the power module (270) can include a battery, a charging interface, and a power management integrated circuit (PMIC). The power module (270) can be configured to supply power from the battery (271) to the processor (260). In one embodiment, the power module (270) can include a wireless charging circuit (not shown). In this case, the power module (270) can wirelessly receive power from a separate external wireless charging device (not shown) through the wireless charging circuit and charge the power of the battery (not shown). However, the present disclosure is not limited thereto, and the power module (270) can include a separately provided charging terminal (not shown) and be electrically connected to a power terminal (not shown) of a separate external charger through the charging terminal to charge the power of the battery in a wired charging manner.

[0104] FIG. 3A is a perspective view showing an outer frame of a wearable device and a fixing member installed on the outer frame, according to one embodiment of the present disclosure. FIG. 3B is a perspective view showing an electronic component unit coupled to the outer frame, according to one embodiment of the present disclosure. FIG. 3C is a perspective view of a wearable device, according to one embodiment of the present disclosure.

[0105] Referring to FIGS. 3A to 3C, a ring-shaped wearable electronic device (201) according to one embodiment (e.g., the electronic device (101) of FIG. 1 ) may be configured to have an overall ring shape so as to be detachably attached to a user's finger. For example, the ring-shaped wearable electronic device (201) may be configured in a garden shape, but the present disclosure is not limited thereto.

[0106] According to one embodiment, a ring-type wearable electronic device (201) may include an outer frame (310), a fixing portion (320), an electronic component portion (330), and an inner frame (340).

[0107] According to one embodiment, the outer frame (310) may constitute the outer portion of the ring-type wearable electronic device (201). In one embodiment, the outer frame (310) may have an inner surface (311) having a generally ring shape so as to define a hole (312) on the inner side. In one embodiment, the hole (312) defined on the inner side of the outer frame (310) may extend in the Z-axis direction, as illustrated in FIG. 3A. In one embodiment, the outer frame (310) may be formed of a metal material. For example, the outer frame (310) may be formed of a high-strength titanium material, stainless steel, aluminum, silver, gold, or platinum, but the present disclosure is not limited thereto.

[0108] According to one embodiment, the fixing member (320) may be configured to fix the electronic component unit (330) on the inside of the outer frame (310). According to one embodiment, the fixing member (320) may be provided on the inner surface (311) of the outer frame (310). According to one embodiment, a part of the electronic component unit (330) may be disposed on the inside, outside, or the outer frame (310) itself of the outer frame (310). For example, the touch sensor (351) may be divided into a processing unit and an interface. The interface of the touch sensor (351) may be disposed on the outer frame (310) itself, or on the inside or outside of the outer frame (310), and the processing unit of the touch sensor (351) may be disposed on a circuit board of the electronic component unit (330), and the processing unit and the interface may be connected by a line (e.g., a wire). Alternatively, the electronic component unit (330) may be positioned so that a portion thereof is coupled to the outer frame (310) and exposed to the outside of the outer frame (310). For example, a microphone on the electronic component unit (330) may be positioned to receive an external voice signal through a hole (352a, 352b) located in the outer frame (310).

[0109] According to one embodiment, the electronic component unit (330) may include one or more circuit boards on which various electronic components are arranged. According to one embodiment, the electronic component unit (330) may have a signal connection path through which signals can be exchanged between one or more circuit boards. According to one embodiment, the electronic component unit (330) may include at least one sensor module (240) and an input module (210) for detecting a movement state (e.g., acceleration) of the ring-type wearable electronic device (201), an external environmental state (e.g., user state), or a user's voice signal. According to one embodiment, one or more circuit boards (331a, 331b) included in the electronic component unit (330) may each constitute a sensor module (331a, 331b), but the present disclosure is not limited thereto. According to one embodiment, one or more circuit boards included in the electronic component section (330) may include electronic components for various electronic module configurations, such as a communication module, a control module (e.g., a processor), a memory, a microphone, a touch sensor, an acceleration sensor, a gyro sensor, a gesture sensor, an IR sensor, a temperature sensor, a PPG sensor, a pressure sensor, an LED, an IR LED, a battery, and a charging interface. In one embodiment, one or more circuit boards constituting the electronic component section (330) may be fixed to the inside or inner surface (311) of the outer frame (310) by a fixing member (320). In one embodiment, the electronic component section (330) may be positioned between the fixing ribs of a plurality of fixing rib pairs of the fixing members (320) provided on the inner surface (311), as described below. The electronic component section (330) may have modules respectively corresponding to the configurations of FIG. 2 arranged therein. The arrangement relationship of the configurations included in the electronic component section (330) will be described below with reference to FIG. 4.

[0110] According to one embodiment, the inner frame (340) may be arranged on the inner side of the outer frame (310) to form the inner side of the ring-type wearable electronic device (201). In one embodiment, a hole (342) into which a user's finger is inserted may be provided on the inner side of the inner frame (340). In one embodiment, the hole (342) may be provided on the inner side of the hole (312) defined by the outer frame (310) described above. In one embodiment, the diameter of the inner frame (340) may be appropriately set according to the thickness of the user's finger.

[0111] According to one embodiment, the inner frame (340) may be integrally joined to the outer frame (310) so as to entirely cover the inner surface (311) of the outer frame (310), the fixed portion (320), and the electronic component portion (330) while the electronic component portion (330) is fixed to the inside of the outer frame (310) by the fixed portion (320). In one embodiment, the inner frame (340) may be integrally joined to the outer frame (310) by at least one of an injection process and a molding process. In one embodiment, the inner frame (340) may be made of a synthetic resin having a transparent material, but the present disclosure is not limited thereto. For example, the inner frame (340) may be made of an epoxy resin. According to one embodiment, at least one biosignal detection unit (343) may be provided on the inner surface (341) of the inner frame (340) so as to protrude toward the inside of the hole (342), for example, toward the center of the hole (342). In one embodiment, the biosignal detection units (343) may be provided in a number corresponding to the respective sensor modules (331a, 331b) of the electronic component unit (330) described above, and the present disclosure is not limited thereto. In one embodiment, corresponding sensor modules (331a, 331b) may be located inside a plurality of biosignal detection units (343a, 343b). For example, a PPG sensor may be located inside the biosignal detection unit (343a), and a temperature sensor may be located inside the biosignal detection unit (343b). In this case, when the user wears the wearable device (200), each of the plurality of sensor modules (231) that come into contact with the user's finger can detect the user's body signal through the corresponding biosignal detection unit (343).

[0112] FIG. 4 is a plan view of a wearable device according to one embodiment of the present disclosure.

[0113] FIG. 4 (a) is a plan view showing a state in which an electronic component unit (330) is fixed to the inner side of an outer frame (310) of a ring-type wearable electronic device (201), and FIG. 4 (b) is a cross-sectional view taken along line I-I' shown in FIG. 4. In a ring-type wearable electronic device (201) according to one embodiment, modules corresponding to the respective components of FIG. 2 may be arranged on the electronic component unit (330) located between the outer frame (310) and the inner frame (340). However, FIG. 4 is only one embodiment, and the present disclosure is not limited thereto.

[0114] Referring to (a) of FIG. 4, a battery (271), a charging interface (272), a circuit board (PMIC) (273), two microphones (211), a communication module (230), a processor (260), a memory (250), an output module (220), a control unit (241) of a PPG sensor, a receiving unit (241a) of a PPG sensor, a transmitting unit (241b) of a PPG sensor, an inertial sensor (242), a touch sensor (243), and a temperature sensor (244) may be included on an outer frame (310) and an electronic component unit (330) coupled thereto. (b) of FIG. 4 is a cross-sectional view of (a), in which some of the components of (a) may be displayed.

[0115] A ring-type wearable electronic device (201) according to one embodiment may include one or more microphones. In one embodiment, the outer frame (310) may be provided with holes (352a, 352b) for the microphones. If there are multiple microphones, the microphone holes corresponding to each microphone may be spaced apart from each other. Since the ring-type wearable electronic device (201) is worn on the user's finger in a ring shape and used, if the microphone is located on the user's palm, it may not be suitable for receiving user speech even if the ring-type wearable electronic device (201) is close to the user's mouth. If two or more microphones are placed at spaced locations, the user's speech can be received using the microphone closest to the user's mouth regardless of the user's wearing state. Referring to FIG. 4, the two microphones may be spaced apart from each other within the outer frame (310). For example, they may be located at both boundaries of the electronic component section (330). However, the present invention is not limited to the above-described example.

[0116] In one embodiment, the ring-type wearable electronic device (201) may illuminate an LED to indicate the activation status of the microphone. For user convenience, the illuminated LED may be positioned close to the microphone. Additionally, a touch sensor may also be positioned close to the microphone for user convenience. In one embodiment, the user may enable the microphone to receive input from their speech through a simple touch operation (e.g., a long touch or double touch).

[0117] In the case of a contact sensor among the sensor modules (240), it may be placed in the biosignal detection unit (343) disclosed in FIG. 3c. For example, in the case of a PPG sensor, it may be placed in the biosignal detection unit (343a) having a protruding shape toward the inner hole of the ring-type wearable electronic device (201). An IR LED for detecting wearing may also be placed in the biosignal detection unit (343b).

[0118] FIG. 5 is an example of wearing a wearable device according to one embodiment of the present disclosure.

[0119] Figure 5 (a) illustrates a state in which a wearable device is worn by a user, and (b) illustrates a state in which a wearable device worn by a user is close to the user's mouth.

[0120] As shown in (a) and (b) of FIG. 5, a ring-type wearable electronic device (201) according to one embodiment can be worn on a user's finger. In one embodiment, the ring-type wearable electronic device (201) can detect that it is worn on the user's body using a wearing detection sensor (241). In various embodiments, the wearing detection sensor (241) can use a PPG sensor, an IR-based proximity sensor, a pressure sensor, or an electrode sensor. The wearing detection sensor (241) can operate periodically to detect whether the user is wearing it. The ring-type wearable electronic device (201) can periodically check whether the user is wearing it in a low-power state, and release the low-power state when it is confirmed that the user is wearing it.

[0121] In one embodiment, the ring-type wearable electronic device (201) can perform pairing with the electronic device (101) using short-range wireless communication. The ring-type wearable electronic device (201) can automatically connect with the electronic device (101) according to preset short-range wireless communication information in response to detecting that the user is wearing the ring-type wearable electronic device (201). The preset short-range wireless communication information can be defined according to the initial setup between the electronic device (101) and the ring-type wearable electronic device (201). The electronic device (101) can perform an initial setup including a user authentication process for pairing with the ring-type wearable electronic device (201) through short-range wireless communication. In various embodiments, the ring-type wearable electronic device (201) can transmit a request for pairing connection to other electronic devices in a location capable of short-range wireless communication in response to detecting that the user is wearing the ring-type wearable electronic device (201). An electronic device that has received a pairing connection request from a ring-type wearable electronic device (201) can be connected to the ring-type wearable electronic device (201) based on short-range wireless communication by accepting the pairing connection request.

[0122] In one embodiment, the ring-type wearable electronic device (201) can transmit a notification to the paired electronic device (101) regarding whether the user is wearing it.

[0123] As shown in (b) of FIG. 5, a user can raise a finger and move it close to the mouth while wearing a ring-type wearable electronic device (201). In various embodiments, the proximity detection model can determine whether a movement (or gesture) of the user's hand moving close to the user's mouth is achieved by inputting at least one of an inertial sensor value and a voice signal.

[0124] In one embodiment, the ring-type wearable electronic device (201) can detect the movement of the hand on which the ring-type wearable electronic device (201) is worn based on the sensor value of the inertial sensor (IMU) (242). For example, the ring-type wearable electronic device (201) can detect the movement of the user's hand approaching the user's mouth based on the inertial sensor value. The inertial sensor (242) can include an acceleration sensor or a gyro sensor. The ring-type wearable electronic device (201) can obtain the sensor value of the inertial sensor (242) in a wearing state and determine whether the sensor value corresponds to a movement of the user's hand approaching the user's mouth using a proximity detection model. The proximity detection model can be a neural network model learned based on user data. The user data can include sensor values ​​according to the user's unique movement, and signal values ​​input according to the user's unique breathing or voice. The user data can be obtained based on the user's starting movement during the initial setup phase. To train a proximity detection model, sensor values ​​and voice signals acquired from an inertial sensor and a microphone can be transmitted to an electronic device (101) or a server. A ring-type wearable electronic device (201) can receive a proximity detection model learned from user data from the electronic device (101) or a server.

[0125] In one embodiment, the input of the proximity detection model is a signal value acquired from an inertial sensor and a microphone, and a probability-based value may be output as an inference result. A threshold value for proximity may be set based on user data. The ring-type wearable electronic device (201) may determine proximity based on the output value of the proximity detection model based on the set threshold value. The user data may be collected through a trial wearing of the ring-type wearable electronic device (201) worn on the user's body by initial settings. The user data may be accumulated based on use, and the neural network model may be periodically retrained. The neural network model may be stored in the memory (250) and transmitted to the electronic device (101) or a server for retraining.

[0126] In one embodiment, the ring-type wearable electronic device (201) can activate a microphone to receive a voice signal when a user's movement is detected based on an inertial sensor value. The microphone can receive the user's voice or ambient sounds. The proximity detection model can more accurately determine whether the user's movement detected by the inertial sensor is close to the mouth based on the input voice signal. For example, the proximity detection model can be trained with the user's own breathing or voice, and can determine whether the input voice signal is the user's own breathing or voice. The user's own breathing or voice can be collected through a trial wearing of the ring-type wearable electronic device (201) worn on the user's body by initial settings.

[0127] Referring to (b) of FIG. 5, the user may bring the hand wearing the ring-type wearable electronic device (201) close to the mouth (normal speech), slightly cover the mouth with the hand (whispering / mouth covering), or completely cover the mouth with the hand (mouth covering). Unlike normal speech, when the user covers the mouth with the hand, a whisper-like voice may be input, but when the user speaks with the hand completely touching the mouth, it may be difficult to identify the user's speech from the speech signal. The proximity detection model can determine the quality of the speech signal by analyzing the values ​​of the inertial sensor and the speech signal to distinguish the speech environment of (b).

[0128] In one embodiment, the ring-type wearable electronic device (201) can transmit a proximity detection alarm signal to the electronic device (101) in response to detecting proximity to the user's mouth while in a worn state. The ring-type wearable electronic device (201) can periodically detect proximity while in a worn state, and can activate a microphone and receive a voice signal while proximity is detected.

[0129] FIG. 6 is a flowchart illustrating an operation of a wearable device and a mobile electronic device performing a voice call according to one embodiment of the present disclosure.

[0130] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0131] In one embodiment, a ring-type wearable electronic device (201) may be utilized as an input device for a call connection received by a first electronic device (101). The ring-type wearable electronic device (201) and the first electronic device (101) may be connected to each other based on short-range wireless communication and may be in a pairing state. According to one embodiment, the first electronic device (101) may perform initial setup including user authentication and short-range communication automatic connection for the ring-type wearable electronic device (201). Referring to FIG. 6, an operation in which the first electronic device (101) and the ring-type wearable electronic device (201) perform a call connection with the second electronic device (104) in response to a call received from the second electronic device (104) is described.

[0132] In step S601, according to one embodiment, the ring-type wearable electronic device (201) can detect wearing on a part of the user's body based on a sensor value of a wearing detection sensor (241). The wearing detection sensor (241) can be an IR sensor, a PPG sensor, or a touch sensor. In response to detecting wearing, the ring-type wearable electronic device (201) can transmit a wearing detection alarm to the first electronic device (101) based on short-range wireless communication (step S602).

[0133] In step S603, according to one embodiment, the first electronic device (101) may receive a phone call connection from the second electronic device (104). According to one embodiment, in response to the phone call, the first electronic device (101) may output a voice signal or a vibration signal using a speaker or a haptic module of the first electronic device (101) and simultaneously transmit a phone call reception alarm signal to the paired ring-type wearable electronic device (201). In various embodiments, steps S601 and S602 may be performed after step S603 or step S604.

[0134] In step S604, according to one embodiment, the ring-type wearable electronic device (201) may receive a call reception alarm signal and output a control signal corresponding to the call reception using the output module (220). In one embodiment, the output module (220) may display light at a set cycle using an LED and generate vibration at a set cycle using a haptic module.

[0135] In step S605, according to one embodiment, a user input for a phone call connection may be received by at least one of a ring-type wearable electronic device (201) and a first electronic device (101). According to one embodiment, the first electronic device (101) may receive a voice signal, a key button signal, or a touch signal as the user input. According to one embodiment, the ring-type wearable electronic device (201) may receive a gesture signal, a voice signal, or a touch signal as the user input.

[0136] In one embodiment, according to one embodiment, the ring-type wearable electronic device (201) can receive a specific voice signal through the microphone (210). The specific voice signal may be a word or sentence set by the user regarding a call reception function, such as "Hello," "Answer call," or "Connect." Alternatively, the ring-type wearable electronic device (201) can recognize a specific gesture through the microphone signal. The specific gesture may be a body gesture that can be determined by the voice signal of the microphone, such as a double tap or rubbing the outer frame.

[0137] In one embodiment, the ring-type wearable electronic device (201) can receive a touch signal based on the sensor value of the touch sensor (243). For example, the ring-type wearable electronic device (201) can receive a call by receiving a long touch or double touch through the touch sensor (243).

[0138] In one embodiment, the ring-type wearable electronic device (201) can identify a user's motion gesture through an inertial sensor (242) signal. The ring-type wearable electronic device (201) can perform a specific function (e.g., answering a call, increasing the volume) in response to the user's motion gesture. The user's motion gesture may be a hand waving gesture (shake), a hand nod gesture (nod), an open-clench-open (OCO) fist gesture, a double pinch gesture of pinching two fingers, a finger snap gesture of flicking the fingers, or a finger circle gesture. The user's motion gesture may be defined according to a user setting. For example, the ring-type wearable electronic device (201) can be set to answer a call in response to detecting a finger snap gesture.

[0139] At step S606, according to one embodiment, the first electronic device (101) can establish a call connection with the second electronic device (104) based on a user input for a call connection.

[0140] In step S607, according to one embodiment, the first electronic device (101) may select at least one of the microphone (150) of the first electronic device (101) and the microphone (210) of the ring-type wearable electronic device (201) as an input device for a phone call. For example, the first electronic device (101) may use the microphone (150) of the first electronic device (101) as a default setting. Alternatively, when the first electronic device (101) receives a wearing or proximity detection status from the paired ring-type wearable electronic device (201), the first electronic device (101) may select the microphone (210) of the ring-type wearable electronic device (201) as an input device. When the ring-type wearable electronic device (201) is in a wearing state, the microphone (210) of the ring-type wearable electronic device (201) can be selected as an input device, and a control signal for microphone activation can be transmitted to the ring-type wearable electronic device (201). When the ring-type wearable electronic device (201) is in a wearing and proximity state, the microphone (210) of the ring-type wearable electronic device (201) can be selected as an input device.

[0141] In one embodiment, according to one embodiment, the first electronic device (101) can select both microphones (150, 210) as input devices. According to one embodiment, the first electronic device (101) can receive two voice signals for the same sound using the two microphones (150, 210) and perform post-processing such as noise removal, user voice identification, and voice reproduction.

[0142] In step S608, according to one embodiment, the ring-type wearable electronic device (201) can detect whether it is close to the user's mouth based on the sensor value by the inertial sensor (242) and the voice signal by the microphone (210). According to one embodiment, the ring-type wearable electronic device (201) can determine whether it is close to the user's mouth by inputting the inertial sensor value and the voice signal using a proximity detection model. The proximity detection model can identify whether it is close to the user's mouth by training the microphone signal and the motion sensor (e.g., inertial sensor) signal as learning data. The microphone signal can reflect information at the time of speaking or a sound pattern through breathing, and thus can be an indicator for identifying whether the wearable electronic device (201) is close to the speaking point. The motion sensor signal can reflect the posture and detailed movements of the hand wearing the wearable electronic device (201), and thus can be an indicator for increasing the accuracy of determining whether the wearable electronic device (201) is approaching the user's mouth. According to one embodiment, a proximity detection model can be trained using a microphone signal and a motion sensor signal as learning data. The learning parameters of the proximity detection model can include spectrum information, size information, etc. of the microphone signal. In addition, the proximity detection model can be trained based on various features such as values ​​for each axis of the motion sensor information and the amount of impact. The wearable electronic device (201) can determine whether the wearable electronic device (201) is approaching the user's mouth based on the trained proximity detection model, for at least one input value of the microphone signal or the motion sensor signal.

[0143] According to one embodiment, the ring-type wearable electronic device (201) may transmit an alarm signal for proximity detection to the first electronic device (101) in response to detecting proximity to the user's mouth (step S609). Step S608 may be performed at any time after step S601. While the ring-type wearable electronic device (201) is being worn by the user, the ring-type wearable electronic device (201) may detect whether a movement (gesture) toward the user's mouth is being made based on an input of a value of the inertial sensor (242). For example, when the user checks an incoming call alarm and brings his / her hand near his / her mouth to speak, the ring-type wearable electronic device (201) may detect proximity.

[0144] In step S610, according to one embodiment, the ring-type wearable electronic device (201) may transmit a voice signal received by the microphone (210) to the first electronic device (101). If the voice signal corresponds to a whispering voice, the ring-type wearable electronic device (201) may correct the voice signal and transmit it to the first electronic device (101). The wearable device (101) may determine, using a proximity detection model, whether the user's movement is a movement that brings the user closer to the user's mouth and a movement that covers or blocks the mouth, and if the mouth is covered or blocked, the voice signal may be determined to correspond to a whisper. An embodiment of determining the user's movement using a proximity detection model will be described in detail with reference to FIG. 9.

[0145] In step S611, according to one embodiment, the first electronic device (101) may transmit a voice signal received from the ring-type wearable electronic device (201) to the second electronic device (104). The first electronic device (101) may perform post-processing on the voice signal, if necessary, and then transmit the voice signal to the second electronic device (104). In one embodiment, the first electronic device (101) may perform post-processing on the voice signal when the quality of the voice signal is relatively low, such as when the voice signal has a lost portion, includes unclear pronunciation, or has a lot of noise. For example, the first electronic device (101) may correct an unclear pronunciation in a voice signal to a clearer pronunciation. In addition to the quality of the voice signal itself, the first electronic device (101) may perform post-processing on the voice signal by taking into account specific movements of the user (e.g., a motion of covering the mouth). The first electronic device (101) can perform post-processing on a voice signal using an audio AI model. In one embodiment, the first electronic device (101) can convert a voice signal into text using automatic speech recognition (ASR) and speech-to-text (STT), and then output an audio signal corresponding to the text using a user voice model. An embodiment in which the first electronic device (101) performs post-processing on a voice signal using an audio AI model will be described in detail in FIG. 10.

[0146] In step S612, according to one embodiment, the first electronic device (101) can receive a voice signal transmitted by the second electronic device (104). Although not illustrated in FIG. 6, the voice signal received from the second electronic device (104) can be output through a speaker of the first electronic device (101). The user can hear the voice received from the second electronic device (104) through the speaker, and then speak after bringing the ring-type wearable electronic device (201) close to the mouth.

[0147] In step S613, according to one embodiment, the ring-type wearable electronic device (201) may transmit a voice signal received by the microphone (210) to the first electronic device (101). The first electronic device (101) may transmit the voice signal received from the ring-type wearable electronic device (201) to the second electronic device (104) (step S614). While the call is connected, steps S612 to S614 may be repeatedly performed.

[0148] At step S615, the first electronic device (101) or the second electronic device (104) can terminate the call connection between the first electronic device (101) and the second electronic device (102).

[0149] FIG. 7 is a gesture signal (a) and a gesture signal setting screen (b) of a wearable device according to one embodiment of the present disclosure.

[0150] According to one embodiment, a ring-type wearable electronic device (201) can receive a gesture signal through a sensor module (240). The ring-type wearable electronic device (201) can be configured to perform various functions depending on the type of gesture signal. In one embodiment, the gesture signal can include a touch gesture based on a touch sensor value or a microphone input value and a movement gesture based on an inertial sensor value. The ring-type wearable electronic device (201) can receive a touch gesture or a movement gesture and perform at least one of the functions of answering a call, making a call, and recording a voice. The gesture signal can be configured to match the function. For example, a long touch can be matched with a call answering function, and a double touch can be matched with a call making function. The type of gesture signal and the matched function can be added, changed, or deleted by the user.

[0151] As shown in (a) of FIG. 7, a user may tap or long-press the touch sensor (243) located on the outer frame of the ring-type wearable electronic device (201) more than twice in succession. According to one embodiment, the ring-type wearable electronic device (201) may determine a long touch if a touch is detected by the touch sensor (243) for a threshold time or longer, and may determine a double touch if a touch is detected continuously within a certain time. According to one embodiment, the ring-type wearable electronic device (201) may activate a microphone and receive a voice signal in response to receiving a long touch gesture matching a call answering function.

[0152] When a user moves the finger while wearing the ring-type wearable electronic device (201) on the finger, the ring-type wearable electronic device (201) according to one embodiment can obtain an inertial sensor (242) value based on the finger movement. For example, the ring-type wearable electronic device (201) can determine a gesture of drawing a circle with the finger based on the inertial sensor value obtained while the user is drawing a circle with the finger. Since the user's movements using the hand can be diverse, the motion gesture can be defined in various ways according to the user input. For example, the user's motion gesture can be a hand waving gesture (shake), a hand nod gesture (nod), a fist clenching and unclenching gesture (open-clench-open, OCO), a double pinch gesture of pinching the fingers twice, a finger snap gesture of snapping the fingers, and a gesture of drawing a circle with the fingers.

[0153] According to one embodiment, a ring-type wearable electronic device (201) can set a function of the ring-type wearable electronic device (201) that is mapped to a motion gesture by a user input. For example, the ring-type wearable electronic device (201) can be set to correspond to a gesture of drawing a circle with a finger worn on the ring-type wearable electronic device (201) to a function of answering a call.

[0154] The configuration input for the gesture signal can be performed in the electronic device (101) paired with the ring-type wearable electronic device (201). According to one embodiment, the electronic device (101) can display a screen for configuring the gesture signal for the ring-type wearable electronic device (201) (e.g., a smart ring). Referring to (b) of FIG. 7, the electronic device (101) can display "Add ring gesture" and a screen that corresponds the functions of the ring-type wearable electronic device (201) to the user's motion gesture. In the screen of (b) of FIG. 7, a plus (+) icon can be clicked according to a user input to add a correspondence between the functions of the ring-type wearable electronic device (201) and the user's motion gesture. For example, a user input for adding a ring gesture setting to correspond a voice recording start function and a triple-touch gesture can be received through the display screen of the electronic device (101). The user motion gesture can be specified based on a touch by a touch sensor or a microphone signal, or a movement detected by an inertial sensor. For example, a ring-type wearable electronic device (201) can detect a double pinch gesture of pinching the index finger of a user wearing the ring-type wearable electronic device (201) twice based on an inertial sensor value. One user motion gesture can correspond to one function. However, more than one function can be mapped to the same user motion gesture. For example, both answering and ending a call can be mapped to a long touch gesture. According to one embodiment, the electronic device (101) can share user motion gesture settings changed according to a user input with the ring-type wearable electronic device (201).

[0155] FIG. 8 is a flowchart illustrating a method for a wearable device to perform a voice call according to one embodiment of the present disclosure.

[0156] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0157] According to one embodiment, steps S810 to S850 may be understood to be performed in a processor (e.g., processor (260) of FIG. 2) of a ring-type wearable electronic device (e.g., ring-type wearable electronic device (201) of FIG. 2).

[0158] A ring-type wearable electronic device (201) according to one embodiment can perform a voice call between a first electronic device (101) and an external electronic device (104) connected based on short-range wireless communication.

[0159] In step S810, according to an embodiment, the ring-type wearable electronic device (201) may receive at least one of a sensor value of an inertial sensor and a voice signal of a microphone. The inertial sensor (242) may output a sensor value in response to a movement while the ring-type wearable electronic device (201) is worn. While the inertial sensor (242) is activated or maintained in an activated state at low power, the microphone (210) may receive a voice signal. The voice signal may include user speech and breathing sounds.

[0160] In step S820, according to an embodiment, the ring-type wearable electronic device (201) can use a proximity detection model to recognize whether the ring-type wearable electronic device (201) is close enough to the user's mouth to receive the user's speech. The proximity detection model can be a rule-based algorithm or a situation judgment neural network model in the form of a deep neural network. For example, the proximity detection neural network model can take an inertial sensor value and a voice signal as input and output a probability value for whether the ring-type wearable electronic device (201) is close to the user's mouth. The ring-type wearable electronic device (201) can determine whether to use the microphone of the ring-type wearable electronic device (201) based on a preset threshold value. For example, if the probability value of the proximity detection model is 97% or higher, the ring-type wearable electronic device (201) can determine the microphone of the ring-type wearable electronic device (201) as an input device for a voice call.

[0161] According to one embodiment, in response to detecting proximity, the ring-type wearable electronic device (201) may select a microphone (210) of the ring-type wearable electronic device (201) as an input device for receiving a voice signal, and receive the voice signal through the microphone (210). The ring-type wearable electronic device (201) may light an LED while the microphone is activated, or output a vibration signal through a haptic module.

[0162] According to one embodiment, the ring-type wearable electronic device (201) may transmit proximity detection (e.g., detection or non-detection) to the first electronic device (101). According to one embodiment, in response to receiving a proximity non-detection alarm signal, the first electronic device (101) may select a microphone of the first electronic device (101) as an input device. Alternatively, according to one embodiment, in response to receiving a proximity detection alarm signal, the first electronic device (101) may indicate (e.g., a guidance message) that it will receive a user's voice through the ring-type wearable electronic device (201) and deactivate a microphone of a device (e.g., the first electronic device (101)) that was previously being used for voice input.

[0163] In step S830, according to one embodiment, the ring-type wearable electronic device (201) can receive a voice signal by a user's speech through the microphone (210) of the wearable electronic device (201) selected as the input device. In one embodiment, even when the first electronic device (101) selects the microphone of the ring-type wearable electronic device (201) as the input device, the voice signal can be received by the microphone of the first electronic device (101). When voice signals are received from both electronic devices (201, 101), the two voice signals for the same speech can be utilized to more clearly identify and remove ambient noise. In one embodiment, when the user is making a voice call using the ring-type wearable electronic device (201), it can be predicted that the ring-type wearable electronic device (201) is relatively close to the user's speech point (mouth), and the first electronic device (101) is relatively far from the user's mouth. According to one embodiment, the first electronic device (101) can compare a first voice signal received from a ring-type wearable electronic device (201) with a second voice signal received from the first electronic device (101), thereby distinguishing a portion corresponding to a user's voice and a portion corresponding to ambient noise, and using this to remove noise.

[0164] In step S840, according to one embodiment, the ring-type wearable electronic device (201) may perform post-processing on the received voice signal. In one embodiment, the ring-type wearable electronic device (201) may further improve the quality of the voice signal, such as by removing noise from the voice signal through post-processing. For example, the ring-type wearable electronic device (201) may perform post-processing on the received voice signal, such as removing noise components, removing echo components, adjusting EQ (equalizer), and adjusting dynamic range.

[0165] At step S850, according to one embodiment, the ring-type wearable electronic device (201) can transmit a post-processed voice signal for a voice call to the first electronic device (101). The first electronic device (101) can transmit the voice signal received from the ring-type wearable electronic device (201) to an external electronic device connected to the call. The ring-type wearable electronic device (201) can repeatedly perform steps S810 to S850 while performing the voice call.

[0166] FIG. 9 is a flowchart illustrating a method for a wearable device to perform a voice call according to one embodiment of the present disclosure.

[0167] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0168] According to one embodiment, steps S910 to S960 may be understood to be performed in a processor (e.g., processor (260) of FIG. 2) of a ring-type wearable electronic device (e.g., ring-type wearable electronic device (201) of FIG. 2).

[0169] A ring-type wearable electronic device (201) according to one embodiment can perform a voice call between a first electronic device (101) and an external electronic device (104) connected based on short-range wireless communication.

[0170] In step S910, according to one embodiment, the ring-type wearable electronic device (201) can receive a voice signal from the microphone (210). When the ring-type wearable electronic device (201) detects a user's movement through the inertial sensor (242), the ring-type wearable electronic device (201) can activate the microphone (210) to receive the voice signal. The ring-type wearable electronic device (201) can receive input from the microphone (210) in a low-power mode.

[0171] In step S920, according to one embodiment, the ring-type wearable electronic device (201) can determine whether the ring-type wearable electronic device (201) is close to the user's mouth using a proximity detection model. The proximity detection model may be a neural network model trained with the user's voice data, including breathing and general speech. The proximity detection model can infer whether a voice signal input by the microphone (210) is the user's own breathing or voice, and the inference result can be output as a probability value.

[0172] In one embodiment, the proximity detection model may output a probability value regarding whether an input signal received by the inertial sensor (242) corresponds to a gesture of bringing the user's mouth to the user's mouth. The proximity detection model may be a neural network model trained with user data. The proximity detection neural network model may be trained with initial training data and retrained to include the user's own proximity sensor values.

[0173] The proximity sensor values ​​generated when a part of the body (e.g., a finger) wearing the ring-type wearable electronic device (201) moves may differ for each user. According to one embodiment, the ring-type wearable electronic device (201) may collect the sensor values ​​of the inertial sensor (242) generated when the user moves according to a trial wearing of the ring-type wearable electronic device (201), and transmit user data including the collected inertial sensor values ​​to the paired first electronic device (101) or server to retrain a proximity detection neural network model.

[0174] According to one embodiment, the ring-type wearable electronic device (201) can determine whether it is close to the user's mouth by judging the probability value output from the proximity detection model based on a predetermined threshold value. For example, if the predetermined threshold value is 80% and the output value of the proximity detection model is 87%, the ring-type wearable electronic device (201) can determine that it is close to the user's mouth. In response to the ring-type wearable electronic device (201) being close to the user's mouth, the ring-type wearable electronic device (201) can determine the level of quality and whether post-processing of the received voice signal is necessary (step S930). If the ring-type wearable electronic device (201) detects that it is moving away from the user's mouth, the ring-type wearable electronic device (201) can end processing of the input voice signal.

[0175] In step S930, according to one embodiment, the ring-type wearable electronic device (201) may determine whether the voice signal satisfies a standard quality. In one embodiment, the ring-type wearable electronic device (201) may determine whether the voice signal satisfies a standard set for a voice call based on the clarity of the user's speech included in the voice signal. For example, the ring-type wearable electronic device (201) may determine the quality level (clarity) of the received voice signal, for example, whether the user's voice is too quiet, as if whispering, contains unclear parts, has a lot of external noise, or is a sound distorted by the cave effect. If the quality level of the voice signal is lower than the standard set for a voice call, the ring-type wearable electronic device (201) may perform post-processing to improve the quality of the voice signal (step S940). If the quality level of the voice signal falls within the standard, the ring-type wearable electronic device (201) may simply perform noise removal (step S950).

[0176] In step S940, according to one embodiment, the ring-type wearable electronic device (201) can tune or regenerate a voice signal using an audio AI model. In one embodiment, the ring-type wearable electronic device (201) can tune the voice signal by removing unnecessary breathing parts and amplifying the speech parts, if the sound corresponds to a sound distorted by the cave effect or if the voice signal includes relatively large breathing sounds, using the audio AI model. The ring-type wearable electronic device (201) can tune the voice signal based on an audio AI model trained with the user's own voice data. In this case, a more natural voice signal can be generated.

[0177] For example, FIG. 10 is a diagram illustrating an example of correcting a whispered voice signal for a voice call by a ring-type wearable electronic device (201) according to an embodiment of the present disclosure. Referring to FIG. 10, a user may place a finger wearing the ring-type wearable electronic device (201) near the user's mouth and whisper, "I am at the library now." The ring-type wearable electronic device (201) may receive a voice signal corresponding to "I am at the library now" through a microphone (210). Since the voice signal is intentionally whispered by the user, it may not satisfy the standard quality for a voice call. If the whispered voice signal is transmitted to the electronic device of the other party of the voice call without separate post-processing, it can be expected that the other party will have difficulty recognizing the user's speech in the voice signal. The ring-type wearable electronic device (201) may perform tuning on the voice signal in response to determining that the voice signal corresponds to a whispering tone and thus does not meet the standard quality for a voice call. The ring-type wearable electronic device (201) may remove breathing parts included in the voice signal and amplify the speech parts so as to meet the standard quality for a voice call. In addition, the ring-type wearable electronic device (201) may tune the voice signal based on an audio AI model trained with the user's own voice data. The ring-type wearable electronic device (201) may transmit the voice signal tuned with the user's own voice data to the other party of the voice call (e.g., the second electronic device (104)) through the first electronic device (101).

[0178] In one embodiment, a ring-type wearable electronic device (201) can convert a voice signal into text using an audio AI model to generate new voice data based on the user's unique voice. The audio AI model may be a neural network model trained for voice data processing. The audio AI model may identify speech and noise portions in an input voice signal, regenerate incomplete portions of the voice signal, or generate a voice signal based on the user's unique voice. For example, the audio AI model may regenerate a specific incomplete utterance into a complete sentence by referencing the user's pre-input data. The audio AI model may be trained using user data. The user data may include sensor data and voice data based on the user's movements. The audio AI model may be included in the memory (250) of the ring-type wearable electronic device (201) and executed in an on-device form.

[0179] At step S950, according to one embodiment, the ring-type wearable electronic device (201) can remove noise from a voice signal. Depending on the quality of the voice signal, this step may be omitted.

[0180] At step S960, according to one embodiment, the ring-type wearable electronic device (201) can transmit a voice signal to the first electronic device (101). The first electronic device (101) can transmit the received voice signal to the second electronic device (104) during a voice call.

[0181] FIG. 11 is a flowchart illustrating a method for an electronic device to perform a voice call using a wearable device according to one embodiment of the present disclosure.

[0182] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0183] According to one embodiment, steps S1101 to S1104 may be understood to be performed in a processor (e.g., processor (120) of FIG. 1) of an electronic device (e.g., electronic device (100) of FIG. 1).

[0184] According to one embodiment, the electronic device (101) can perform a voice call with an external electronic device (104) using a ring-type wearable electronic device (201) connected based on short-range wireless communication as an input device.

[0185] In step S1101, according to one embodiment, the electronic device (101) may receive a first voice signal obtained by a user utterance from the ring-type wearable electronic device (201) for a voice call. The electronic device (101) may select the microphone (210) of the ring-type wearable electronic device (201) as a basic input device for the voice call. The electronic device (101) may perform the voice call based on the first voice signal acquired by the microphone (210) of the ring-type wearable electronic device (201) for the voice call. In one embodiment, the electronic device (101) may select the microphone (150) included in the electronic device (101) as an additional input device. For example, the electronic device (101) may receive a second voice signal for the same user utterance using the microphone (150). In this case, the first voice signal and the second voice signal may include voices uttered by the user at the same time. Since the distance from the user's speech point (e.g., mouth) to the microphone (210) of the ring-type wearable electronic device (201) and the distance to the microphone (150) of the electronic device (101) are different, the size of the user's speech or the ambient noise included in the first voice signal and the second voice signal may be different.

[0186] In step S1102, according to one embodiment, the electronic device (101) may determine whether the first voice signal satisfies the reference quality for a voice call. The electronic device (101) may analyze the voice quality by performing voice recognition on the first voice signal using an audio AI model. In one embodiment, the electronic device (101) may identify a user's speech as an input voice signal based on the audio AI model, and determine whether the user's speech satisfies the reference quality for a voice call based on the degree of clarity of the user's speech. The audio AI model may be a neural network model trained for voice data processing. For example, the audio AI model may identify a speech portion and a noise portion in an input voice signal, regenerate an incomplete portion in the voice signal, generate a voice signal based on the user's unique voice, generate context-dependent information corresponding to the user's speech, or generate information according to the voice communication environment. The audio AI model may be a single neural network model, or may include multiple neural network models performing each function.

[0187] In step S1103, according to one embodiment, in response to determining that the first voice signal does not meet the reference quality, the electronic device (101) may use the audio AI model to tune or regenerate the first voice signal. In one embodiment, the electronic device (101) may use the audio AI model to correct the first voice signal to meet the reference quality for a voice call, or may generate a personal voice to replace the first voice signal. An embodiment of regenerating the voice signal will be described in detail below with reference to FIG. 12.

[0188] In one embodiment, the electronic device (101) can tune the first voice signal using a second voice signal received by a microphone (150), which is an additional input device. For example, by removing ambient noise included in the second voice signal from the first voice signal, noise removal for the first voice signal can be more effectively performed.

[0189] In one embodiment, the electronic device (101) may store information about the first voice signal while tuning or regenerating the first voice signal. The information about the first voice signal may include information about the context corresponding to the user's speech and information about the voice communication environment. For example, the electronic device (101) may store information about the first voice signal, such as situations in which the user is in a crowded subway, situations in which the user is in a meeting and cannot answer the call, or situations in which the call quality is poor due to loud ambient noise. By reflecting various contextual information, the electronic device (101) may also transmit the contextual information to the electronic device of the other party to the voice call.

[0190] In step S1104, according to one embodiment, the electronic device (101) may transmit a first voice signal to the electronic device of the other party of the voice call with the electronic device (101). If the first voice signal satisfies the standard quality for a voice call, the first voice signal may be a voice signal received from the ring-type wearable electronic device (201) as is. If the first voice signal does not satisfy the standard quality for a voice call, the first voice signal may be tuned or regenerated by the electronic device (101) to satisfy the standard quality. The electronic device (101) may transmit information analyzed during the process of tuning or regenerating the first voice signal to the other party's electronic device.

[0191] FIG. 12 is a diagram illustrating an example of an electronic device regenerating a voice signal according to one embodiment of the present disclosure.

[0192] According to one embodiment, an electronic device (101) may use a ring-type wearable electronic device (201) as an input device to make a voice call with an external electronic device (104). The electronic device (101) may receive a voice signal from the ring-type wearable electronic device (201), and, if the quality of the voice signal does not meet the standard quality for making a voice call, perform post-processing on the voice signal and transmit the voice signal to the external electronic device (104).

[0193] Referring to (a) of Fig. 12, a user may speak for a voice call in a public place with a lot of ambient noise (e.g., a subway). Since the user is in a public place, the user may answer the call in a whisper. According to one embodiment, a ring-type wearable electronic device (201) may receive a first voice signal in response to the user's speech through a microphone (210) positioned close to the user's mouth. The first voice signal may include noise due to the surrounding environment, and may be a voice that the user intentionally speaks in a whisper. Fig. 12 (a) exemplifies a situation in which a user whispers, "It's so noisy on the subway right now, I can't hear you well."

[0194] Referring to (b) of FIG. 12, according to one embodiment, an electronic device (101) may receive a first voice signal that is a user utterance from a ring-type wearable electronic device (201). According to one embodiment, the electronic device (101) may determine whether the first voice signal satisfies a reference quality for a voice call using an audio AI model. According to one embodiment, the electronic device (101) may identify a user voice portion from the first voice signal using the audio AI model. For example, the audio AI model may convert a voice corresponding to the user utterance included in the first voice signal into text using STT (speech-to-text). At this time, the converted text may be a sentence in the form of "I can't hear you well right now because... you... turn it off..." in (b) of FIG. 12, in which some words are missing. The audio AI model may supplement the missing portion based on an LLM (large language model) to generate a sentence similar to the original voice. LLM can be referred to as a language model comprised of an artificial neural network pre-trained on a massive amount of text data. LLM can include more than ten times as many parameters (e.g., more than 100 billion parameters) as conventional general language models. The audio AI model can generate missing parts by considering the context of the entire sentence in the text converted from the first speech signal. The audio AI model can be trained with user data and can regenerate sentences using words, expressions, and idioms frequently used by the user. In one embodiment, the electronic device (101) can include a step for user verification of the text generated by the audio AI model. For example, an icon indicating acceptance or rejection can be displayed on the screen of the electronic device (101) together with the generated text.In one embodiment, the electronic device (101) may convert text generated based on user input into a voice signal for transmission to the other party's electronic device in a voice call. In one embodiment, the electronic device (101) may generate a voice signal corresponding to the text generated in the user's voice using personalized text-to-speech (TTS) based on the user's unique voice data.

[0195] In one embodiment, the electronic device (101) may generate additional information for the first voice signal using an audio AI model. The additional information may include at least one of information about the call environment, information about voice quality, information about the user's situation, and information about the user. According to one embodiment, the electronic device (101) may generate additional information about the call environment or the user's situation, such as "Mr. OOO is currently riding a crowded subway" or "Mr. OOO is currently studying in the library, making it difficult to speak loudly."

[0196] In one embodiment, the electronic device (101) may generate different additional information for the first voice signal depending on the relationship with the other party of the voice call. The audio AI model may generate the additional information by considering vocabulary and speech patterns included in the user data. For example, if the first voice signal is "in a meeting," the electronic device (101) may generate "I am currently in a meeting and it is difficult to answer the call" as additional information and transmit it to the external electronic device that is the other party of the voice call. According to one embodiment, the electronic device (101) may determine different speech patterns (vocabulary) to be generated depending on the relationship with the other party of the voice call. For example, the electronic device may generate the information by distinguishing between polite and general speech patterns. If the other party of the voice call is a parent or a boss, the additional information may be generated in a polite tone. For example, if the other party of the voice call is a parent or a coworker, the information may be generated in a polite tone, such as "I am currently in a meeting and it is difficult to answer the call. I will contact you later." The relationship with the person on the voice call can be expressed in a casual or intimate tone, such as a spouse, friend, or child. For example, if the person on the voice call is a spouse or friend, you can say something like, "I'm in a meeting right now. I'll get back to you later."

[0197] According to one embodiment, the electronic device (101) can generate additional information in English expressions differently from Korean expressions depending on the relationship with the other party of the voice call. For example, it can generate "I am in a meeting at the moment and cannot receive calls. I will contact you later" for a parent. It can generate "I am currently attending a meeting and cannot answer the call. I will get back to you shortly." for a boss at work. It can generate "Hey, I'm in a meeting right now so I can't talk. Will hit you up later!" for a friend.

[0198] Referring to (c) of FIG. 12, according to one embodiment, an external electronic device (104) can output a voice signal received from an electronic device (101) through a speaker. The external electronic device (104) can output information about the voice signal received from the electronic device (101) through a display.

[0199] According to one embodiment, the audio AI model included in the electronic device (101) may be different from the audio AI model included in the ring-type wearable electronic device (201). For example, the audio AI model included in the electronic device (101) may include various functions for voice processing, but the ring-type wearable electronic device (201) may include only some functions of the audio AI model included in the electronic device (101). In one embodiment, the ring-type wearable electronic device (201) may store and drive the audio AI model in a lightweight manner, thereby reducing power consumption and increasing execution time. According to one embodiment, the audio AI models may be different depending on the difference in processor performance between the electronic device (101) and the ring-type wearable electronic device (201).

[0200] FIG. 13 is a flowchart illustrating a method for a ring-type wearable electronic device according to one embodiment of the present disclosure to perform recording.

[0201] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0202] According to one embodiment, steps S1301 to S1305 may be understood to be performed in a processor (e.g., processor (260) of FIG. 2) of a ring-type wearable electronic device (e.g., ring-type wearable electronic device (201) of FIG. 2).

[0203] A ring-type wearable electronic device (201) according to one embodiment can record voice or various sounds using a microphone (210). The ring-type wearable electronic device (201) can perform recording in conjunction with a recording function of a first electronic device connected based on short-range wireless communication.

[0204] In step S1301, according to one embodiment, the ring-type wearable electronic device (201) may receive a user input set to execute a recording function. The user input may include at least one of a specific keyword voice, a specific touch, and a specific gesture. According to one embodiment, the type of user input for controlling at least one function of the ring-type wearable electronic device (201) may be added, changed, or deleted by user settings. For example, an electronic device (101) connected to the ring-type wearable electronic device (201) may display a setting screen through a display, and add, change, or delete a type of user input for controlling at least one function of the ring-type wearable electronic device (201) based on an input value of the setting screen.

[0205] User input can be added, changed, or deleted according to user settings. An electronic device (101) connected to a ring-type wearable electronic device (201) displays a screen for setting user input for the recording function of the ring-type wearable electronic device (201), and can add, change, or delete the type of user input according to user operation.

[0206] In one embodiment, the ring-type wearable electronic device (201) may perform recording in response to recognizing a voice signal containing a specific keyword (e.g., "start recording"). For example, the ring-type wearable electronic device (201) may activate the microphone (210) and receive a voice signal to perform recording in response to inputting the phrase "Hi Bixby, start voice recording with Smart Ring."

[0207] In one embodiment, the ring-type wearable electronic device (201) may initiate recording in response to a specific touch being detected by the touch sensor (243). For example, recording may be configured to begin when the touch is maintained for a predetermined period of time (e.g., 3 seconds). In various embodiments, the specific touch may be changed by the user.

[0208] In one embodiment, the ring-type wearable electronic device (201) may perform recording in response to recognizing a specific finger gesture. For example, the ring-type wearable electronic device (201) may be configured to initiate recording when recognizing a gesture of drawing a circle with a finger.

[0209] When recording is performed based on user input related to the recording function as in the above embodiments, unlike voice calls, the ring-type wearable electronic device (201) does not need to detect whether it is in close proximity to the user's mouth. In one embodiment, the ring-type wearable electronic device (201) can activate the microphone and perform recording even when the user is not wearing it.

[0210] At step S1302, according to one embodiment, the ring-type wearable electronic device (201) may activate a microphone and start recording in response to receiving a specific keyword voice, a specific touch, or a specific gesture set to execute a recording function.

[0211] In step S1303, according to one embodiment, a ring-type wearable electronic device (201) may transmit a voice signal to a connected first electronic device based on short-range wireless communication. According to one embodiment, the first electronic device may store the received voice signal and recording information. The first electronic device may play the stored voice signal upon request. According to one embodiment, the first electronic device may display the recording information of the stored voice signal or allow a search based on the recording information.

[0212] In one embodiment, the ring-type wearable electronic device (201) can transmit and output a voice signal received by an electronic device (e.g., a mobile electronic device or TWS (true wireless stereo) earphones) connected to the ring-type wearable electronic device (201). For example, when the ring-type wearable electronic device (201) is not worn on the user's body, the received voice signal can be transmitted and output by another wearable device (e.g., TWS earphones) worn by the user.

[0213] According to one embodiment, the ring-type wearable electronic device (201) may repeat steps S1302 and S1303. According to one embodiment, the ring-type wearable electronic device (201) may transmit a voice signal input in real time to the first electronic device. Alternatively, in one embodiment, the ring-type wearable electronic device (201) may perform step S1303 after recording is terminated.

[0214] In step S1304, according to one embodiment, the ring-type wearable electronic device (201) may receive a user input set to terminate the recording function. The user input may include at least one of a specific keyword voice, a specific touch, and a specific gesture. The user input set to terminate the recording function may be associated with a user input set to execute the recording function. For example, if recording is initiated by a long touch signal, recording may be set to terminate if the long touch signal is received again during recording. Similar to the user input that executes the recording function, the user input set to terminate the recording function may be added, changed, or deleted by user settings.

[0215] At step S1305, according to one embodiment, the ring-type wearable electronic device (201) may terminate recording and deactivate the microphone in response to receiving a specific keyword voice, a specific touch, or a specific gesture set to terminate the recording function.

[0216] FIG. 14 illustrates examples of recording situations of a ring-type wearable electronic device according to one embodiment of the present disclosure.

[0217] In various embodiments, the ring-type wearable electronic device (201) can perform recording in various situations. The ring-type wearable electronic device (201) can record not only voice data but also ambient sounds that do not include human voices. For example, ambient sounds can include sounds from objects or sounds of nature.

[0218] Referring to (a) of FIG. 14, a ring-type wearable electronic device (201) according to one embodiment can perform ASMR recording. The ring-type wearable electronic device (201) can record sounds from a desired location, even if they are not voices. For example, an ASMR sound source that records sounds made by hands from a very close distance can be generated through the ring-type wearable electronic device (201) without any additional devices.

[0219] Referring to (b) of FIG. 14, according to one embodiment, a ring-type wearable electronic device (201) can perform recording for V-log shooting. In one embodiment, the ring-type wearable electronic device (201) can be utilized as one of multiple microphones for video recording or multi-channel recording. For example, in response to an electronic device connected to the ring-type wearable electronic device (201) performing video recording (V-log), the ring-type wearable electronic device (201) can activate the microphone (210) to receive a voice signal. A voice signal (e.g., the voice of a V-logger) acquired by the ring-type wearable electronic device (201) can be added to a video acquired by the electronic device. In various multimedia environments, for example, environments including mobile electronic devices and multiple wearable electronic devices (e.g., smart watches, TWS earphones, smart rings) connected to the mobile electronic devices, video recording can be performed using the multiple electronic devices, and a realistic sound source can be generated by acquiring voice signals through multiple microphones. During video recording, the main microphone among the multiple electronic devices can be adaptively changed in response to changes in the sound source or the location of the sound source. For example, when shooting a V-log, if the voice of the subject is received, the electronic device closest to the user's mouth (e.g., smart ring) can be selected as the main microphone, and if the ambient sound is received, the mobile electronic device can be selected as the main microphone.

[0220] Referring to (c) of FIG. 14, according to one embodiment, a ring-type wearable electronic device (201) can record a conversation between two people. In one embodiment, the two people have a conversation while each wearing a ring-type wearable electronic device (e.g., a smart ring), and the conversation voice can be recorded by adaptively setting the smart ring of the person speaking as the main microphone.

[0221] FIG. 15 is a diagram for explaining a method for setting a main input / output device of a plurality of wearable electronic devices connected to an electronic device according to one embodiment of the present disclosure.

[0222] In various embodiments, a user may make voice calls, watch videos, or record videos while using one or more wearable devices connected to their mobile device. In various usage environments, optimal input / output device configurations (e.g., main microphone and main speaker configurations) between electronic devices and multiple wearable electronic devices connected via short-range wireless communication can enhance user convenience and maximize the usability of the wearable electronic devices.

[0223] An electronic device (1501) according to one embodiment can be connected to a plurality of wearable electronic devices based on short-range wireless communication. For example, the electronic device (1501) can be connected to a ring-type wearable electronic device (1503) that can be worn on the hand and a TWS wearable electronic device (1505) that can be worn on the ear. The electronic device (1501), the ring-type wearable electronic device (1503), and the TWS wearable electronic device (1505) each have a microphone and can use at least one microphone to perform functions such as voice calling, voice recording, video recording, music playback, and video viewing.

[0224] For example, when a voice call is made while a wearable device is worn on the user's body, the electronic device (1501) may select a microphone based on initial settings. In one embodiment, the electronic device (1501) may adaptively change the main microphone in response to changes in the situation reflecting the user's intention.

[0225] In one embodiment, the electronic device (1501) can select the TWS wearable electronic device (1505) as the main output device while the TWS wearable electronic device (1505) is worn by the user.

[0226] In one embodiment, the electronic device (1501) can select the ring-type wearable electronic device (1503) as the main input device while the ring-type wearable electronic device (1503) is worn by the user and is in proximity to the user's mouth. When the proximity is released, the electronic device (1501) can select the TWS wearable electronic device (1505) as the main input device.

[0227] An electronic device (1501) according to one embodiment can adaptively select an input / output device optimized for the user according to changes in circumstances by using an audio AI model learned from the user's function execution and the corresponding usage data of wearable devices.

[0228] FIG. 16 is a diagram illustrating an example of an electronic device according to one embodiment of the present disclosure performing a multi-microphone function using a plurality of ring-type wearable devices.

[0229] According to an embodiment, an electronic device (1610) may use a plurality of wearable electronic devices (1620-1, to 1620-10) connected based on short-range wireless communication as a microphone. According to an embodiment, the electronic device (1610) may transmit a short-range wireless communication connection request to wearable electronic devices (1620-1, to 1620-10) located within a physical range where short-range wireless communication is possible. Referring to FIG. 16, a plurality of ring-type wearable electronic devices (1620-1, to 1620-10) located within a certain location (e.g., a conference room) may receive a wireless communication connection request from the electronic device (1610) and establish a communication connection by accepting the request.

[0230] When multiple users each wear a ring-type wearable electronic device (e.g., 1620-1) and bring their hand close to their mouth and speak, each of the ring-type wearable electronic devices (1620-1 to 1620-10) can detect the proximity to the user's mouth and activate a microphone to acquire a voice signal. Alternatively, the microphone can be activated by detecting a touch or gesture signal from each of the individual's ring-type wearable electronic devices before speaking. The voice signals acquired by each ring-type wearable electronic device can be transmitted to an electronic device (1610) connected via wireless communication. According to an embodiment, the electronic device (1610) can output voice signals received from multiple wearable electronic devices (1620-1 to 1620-10) through a speaker (1611). Alternatively, the voice signal can be converted into text and output to a display device (1630) (e.g., TV, monitor, beam projector, electronic whiteboard) connected to the electronic device (1610).

[0231] Even when multiple people are speaking simultaneously in a relatively large space, high-quality voice signals can be expected because the voice signals are received from each user's ring-type wearable electronic device located closest to them.

[0232] In one embodiment, the electronic device (1610) may select a main microphone among a plurality of ring-type wearable electronic devices and display a voice signal received from the main microphone in real time on a speaker (1611) or a display device (1630). Referring to FIG. 16, the ring-type wearable electronic device (1620-1) set as the main microphone may be connected to the electronic device (1610) with a solid line, and the remaining ring-type wearable electronic devices (1620-5, 1620-8, 1620-10) that are connected to the wireless communication but are not set as the main microphone may be indicated with dotted lines. The main microphone may be adaptively changed depending on changes in the situation.

[0233] The various embodiments of this document and the terminology used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0234] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0235] 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 arranged 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 ring-type wearable electronic device, communication circuit; mike; sensor; memory; and At least one processor comprising a processing circuit; The memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to: Identifying that the ring-type wearable electronic device is close to the user's mouth based on at least one of an input signal of the sensor or an input signal of the microphone, and A ring-type wearable electronic device storing instructions that cause a voice signal acquired through the microphone to be transmitted to a first electronic device connected to the ring-type wearable electronic device through the communication circuit based on identification that the ring-type wearable electronic device is in proximity to a user's mouth.

2. In paragraph 1, The above memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to: A ring-type wearable electronic device, which stores commands that cause the ring-type wearable electronic device to identify proximity to the user's mouth from an input signal of the sensor based on a proximity detection model learned to identify the user's movement based on sensor data acquired by the movement of the person wearing the ring-type wearable electronic device.

3. In paragraph 1, The above memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to: A ring-type wearable electronic device, which stores commands that cause the ring-type wearable electronic device to identify proximity to the user's mouth from at least one of the input signal of the microphone or the sensor signal, based on a proximity detection model learned to identify whether the user's voice is the user's voice or at least one of the user's voice data acquired by the microphone through the user's breathing or speech or the movement sensor data acquired by the sensor through the user's movement.

4. In paragraph 1, The above memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to: A ring-type wearable electronic device storing commands that cause the microphone to remain activated and receive a voice signal while the ring-type wearable electronic device is identified as being in proximity to a user's mouth.

5. In paragraph 1, Including more LEDs, The above memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to: A ring-shaped wearable electronic device storing commands that cause the LED to emit light while the microphone is activated.

6. In paragraph 1, Including more touch sensors, The above memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to: A ring-type wearable electronic device storing commands that cause the microphone to receive a voice signal while a signal is detected by the touch sensor.

7. In paragraph 1, The above memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to: A ring-type wearable electronic device storing commands that cause the audio AI model learned for processing voice data to be used to tune or regenerate the voice signal according to the quality of the voice signal and then transmit the same to the first electronic device.

8. In paragraph 1, The above memory, when individually or collectively executed by the at least one processor, causes the ring-type wearable electronic device to: Activating the microphone in response to recognizing a voice signal containing a specific keyword related to voice recording, a specific touch signal, or a specific finger gesture, and A ring-type wearable electronic device storing commands that cause the first electronic device to transmit a voice signal acquired by the activated microphone and a request for voice recording.

9. In electronic devices, mike; speaker; communication circuit; memory; and At least one processor comprising a processing circuit; The memory, when executed individually or collectively by the at least one processor, causes the electronic device to: While making a voice call with an external electronic device, a voice signal is received from the ring-type wearable electronic device based on the identification that the ring-type wearable electronic device connected to the electronic device is close to the user's mouth, and An electronic device storing instructions that cause the voice signal to be transmitted to the external electronic device through the communication circuit.

10. In paragraph 9, The memory, when individually or collectively executed by the at least one processor, causes the electronic device to: Using an audio AI model trained for voice data processing, determine whether the voice signal satisfies the reference quality for voice calls, and An electronic device storing commands that cause tuning or regeneration of the speech signal in response to the speech signal not satisfying the reference quality.

11. In paragraph 10, The memory, when individually or collectively executed by the at least one processor, causes the electronic device to: Using the audio AI model, the voice signal is tuned, modulated, recognized, converted to text, or generated as a personalized voice signal to generate an output signal so that the voice signal satisfies the reference quality, and An electronic device storing commands that cause the generated output signal to be transmitted to the external electronic device.

12. In paragraph 11, The memory, when individually or collectively executed by the at least one processor, causes the electronic device to: Generating additional information about the voice signal using the audio AI model, wherein the additional information is related to at least one of a voice call environment, voice quality, user context, or user, and An electronic device storing commands that cause the additional information to be transmitted to the external electronic device along with the output signal.

13. In paragraph 9, The memory, when individually or collectively executed by the at least one processor, causes the electronic device to: While the TWS wearable electronic device connected to the electronic device is worn by the user, adaptively selecting the microphone of the TWS wearable electronic device or the microphone of the ring-type wearable electronic device in response to at least one change among whether the ring-type wearable electronic device identifies that the ring-type wearable electronic device is close to the user's mouth or whether a voice signal of the ring-type wearable electronic device is clearer than a voice signal of the TWS wearable electronic device, and An electronic device storing commands that cause the voice signal received by the selected microphone to be transmitted to the external electronic device.

14. In paragraph 9, The memory, when individually or collectively executed by the at least one processor, causes the electronic device to: Performing communication connection with a plurality of ring-type wearable electronic devices located within a range that can be connected to the above electronic device, Based on identifying that the first ring-type wearable electronic device among the plurality of ring-type wearable electronic devices is close to the user's mouth, selecting the first ring-type wearable electronic device as an input device for a voice call with the external electronic device, and An electronic device storing commands that cause a voice signal received from the first ring-type wearable electronic device to be transmitted to the external electronic device.

15. In paragraph 9, The memory, when individually or collectively executed by the at least one processor, causes the electronic device to: In response to receiving a voice call request from an external electronic device, transmitting an alarm signal to the ring-type wearable electronic device; Based on identifying that the ring-type wearable electronic device is close to the user's mouth from the ring-type wearable electronic device, selecting the ring-type wearable electronic device as an input device for a voice call with the external electronic device, and An electronic device storing commands that cause a voice signal received from the ring-type wearable electronic device to be transmitted to the external electronic device.

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