WO2023018185A1 - Dispositif électronique affichant des données mesurées, et procédé associé - Google Patents

Dispositif électronique affichant des données mesurées, et procédé associé Download PDF

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Publication number
WO2023018185A1
WO2023018185A1 PCT/KR2022/011865 KR2022011865W WO2023018185A1 WO 2023018185 A1 WO2023018185 A1 WO 2023018185A1 KR 2022011865 W KR2022011865 W KR 2022011865W WO 2023018185 A1 WO2023018185 A1 WO 2023018185A1
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WIPO (PCT)
Prior art keywords
data
electronic device
summary data
correction value
peripheral device
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PCT/KR2022/011865
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English (en)
Korean (ko)
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조준호
송용
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삼성전자 주식회사
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Publication of WO2023018185A1 publication Critical patent/WO2023018185A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements
    • G06F1/1613—Constructional details or arrangements for portable computers
    • G06F1/163—Wearable computers, e.g. on a belt
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/40—Support for services or applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/04—Protocols specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Definitions

  • Various embodiments of the present disclosure relate to an electronic device displaying measured data and a method therefor.
  • peripheral devices that can operate in conjunction with electronic devices are being developed.
  • smart watches, Bluetooth earphones, and/or smart glasses that can operate in conjunction with electronic devices are being developed.
  • An electronic device may interwork with one peripheral device or may interwork with a plurality of peripheral devices.
  • the plurality of peripheral devices may be peripheral devices of different types.
  • the plurality of peripheral devices may be peripheral devices of the same type.
  • the peripheral devices may operate in conjunction with the electronic device, but may also operate independently. As the peripheral devices can operate independently, various functions that can be performed by the peripheral devices are also being developed.
  • Electronic devices and peripherals may include the same functions.
  • a smart phone and a smart watch may include the same or similar sensors to measure and display the number of steps or distance traveled by the user. Even if the same function is performed in each of a plurality of devices, the result may be different depending on the position of the sensor, the characteristics of the sensor, and other conditions. However, the user may believe that the result will be the same when a plurality of devices are interlocked with each other, and if the results measured and displayed by the plurality of devices are not the same, the user may not trust the displayed result.
  • An electronic device generates summary data of the electronic device based on data measured using a sensor module, a communication module, and the sensor module, and obtains information from a peripheral device using the communication module.
  • Receive summary data generate or update overall summary data based on the received summary data of the peripheral device and summary data of the electronic device, and determine a correction value based on the overall summary data and the summary data of the electronic device.
  • a processor for calculating final data based on the overall summary data, the correction value, and summary data of the electronic device, wherein the summary data includes data obtained by accumulating measured data in units of a predetermined time.
  • the total summary data may include total accumulated data.
  • a peripheral device generates summary data of the peripheral device based on a sensor module, a communication module, and data measured using the sensor module, and summarizes the generated peripheral device using the communication module.
  • Send data to an electronic device receive overall summary data from the electronic device, calculate a correction value based on the overall summary data and summary data of the peripheral device, and calculate the overall summary data, the correction value, and
  • An operating method of an electronic device includes generating summary data of the electronic device based on data measured using a sensor module, receiving summary data of the peripheral device from a peripheral device, and Generating or updating overall summary data based on summary data of peripheral devices and summary data of the electronic device, calculating a correction value based on the overall summary data and summary data of the electronic device, and calculating the overall summary data. and calculating final data based on data, the correction value, and summary data of the electronic device, wherein the summary data includes data obtained by accumulating measured data in units of a predetermined time, and the overall summary data is May include total accumulated data.
  • a method of operating a peripheral device includes generating summary data of the peripheral device based on data measured using a sensor module, and transmitting the generated summary data of the peripheral device to an electronic device. , Receiving overall summary data from the electronic device, calculating a correction value based on the overall summary data and the summary data of the peripheral device, the overall summary data, the correction value, and the summary data of the peripheral device and calculating final data based on , the summary data may include data obtained by accumulating measured data in units of a predetermined time, and the total summary data may include total accumulated data.
  • an electronic device may provide reliable data (or information) to a user.
  • data continuously measured by a sensor may be analyzed and processed and stored in a storage device (eg, a memory or a database), thereby reducing storage capacity.
  • a storage device eg, a memory or a database
  • analyzed and processed data is stored in a storage device, it is possible to reduce the time required to search for data required by an application.
  • an electronic device may receive data of a predetermined time unit from a peripheral device to provide data for each device and for each time, and data collected by the electronic device.
  • data received from peripheral devices may be analyzed, processed, and provided.
  • an electronic device may support various queries required by applications.
  • FIG. 1 is a block diagram of an electronic device in a network environment, according to various embodiments.
  • FIG. 2 is an example of a system in which a plurality of devices capable of displaying measured data are interlocked according to an embodiment of the present disclosure.
  • FIG 3 is an internal block diagram of an electronic device according to an embodiment of the present disclosure.
  • 4A and 4B illustrate information that can be transmitted and received between an electronic device and a plurality of peripheral devices according to an embodiment of the present disclosure.
  • FIG. 5 illustrates a process of generating summary data by processing data collected from each device according to an embodiment of the present disclosure.
  • FIG 6 illustrates an example of summary data stored in an electronic device according to an embodiment of the present disclosure.
  • FIG. 7A to 7D illustrate an example of a process of generating current data using overall summary data according to an embodiment of the present disclosure.
  • 8A and 8B illustrate an example of generating overall summary data according to an embodiment of the present disclosure.
  • 9a, 9b, and 9c illustrate an example of updating summary data in each device according to an embodiment of the present disclosure.
  • 10A and 10B illustrate an example in which a smart watch calculates the number of steps in real time according to an embodiment of the present disclosure.
  • 11A and 11B illustrate an example of generating summary data when a time zone is changed according to an embodiment of the present disclosure.
  • FIG. 12 is a flowchart for synchronizing measured data by interworking between an electronic device and a peripheral device according to an embodiment of the present disclosure.
  • FIG. 13 is a flowchart of an electronic device according to an embodiment of the present disclosure.
  • FIG. 14 is a flowchart of a peripheral device according to an embodiment of the present disclosure.
  • FIG. 1 is a block diagram of an electronic device 101 within a network environment 100, according to various embodiments.
  • an electronic device 101 communicates with an electronic device 102 through a first network 198 (eg, a short-range wireless communication network) or through a second network 199. It may communicate with at least one of the electronic device 104 or the server 108 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 101 may communicate with the electronic device 104 through the server 108 .
  • a first network 198 eg, a short-range wireless communication network
  • the server 108 e.g, a long-distance wireless communication network
  • the electronic device 101 includes 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), interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, subscriber identification module 196 , or the antenna module 197 may be included.
  • at least one of these components eg, the connection terminal 178) may be omitted or one or more other components may be added.
  • some of these components eg, sensor module 176, camera module 180, or antenna module 197) are integrated into a single component (eg, display module 160). It can be.
  • the processor 120 for example, executes software (eg, the program 140) to cause at least one other component (eg, hardware or software component) of the electronic device 101 connected to the processor 120. It can control and perform various data processing or calculations. According to one embodiment, as at least part of data processing or operation, processor 120 transfers instructions or data received from other components (e.g., sensor module 176 or communication module 190) to volatile memory 132. , processing commands or data stored in the volatile memory 132 , and storing resultant data in the non-volatile memory 134 .
  • software eg, the program 140
  • processor 120 transfers instructions or data received from other components (e.g., sensor module 176 or communication module 190) to volatile memory 132. , processing commands or data stored in the volatile memory 132 , and storing resultant data in the non-volatile memory 134 .
  • the processor 120 includes a main processor 121 (eg, a central processing unit or an application processor) or a secondary processor 123 (eg, a graphic processing unit, a neural network processing unit ( NPU: neural processing unit (NPU), image signal processor, sensor hub processor, or communication processor).
  • a main processor 121 eg, a central processing unit or an application processor
  • a secondary processor 123 eg, a graphic processing unit, a neural network processing unit ( NPU: neural processing unit (NPU), image signal processor, sensor hub processor, or communication processor.
  • NPU neural network processing unit
  • the secondary processor 123 may use less power than the main processor 121 or be set to be specialized for a designated function.
  • the secondary processor 123 may be implemented separately from or as part of the main processor 121 .
  • the secondary processor 123 may, for example, take the place of the main processor 121 while the main processor 121 is in an inactive (eg, sleep) state, or the main processor 121 is active (eg, running an application). ) state, together with the main processor 121, at least one of the components of the electronic device 101 (eg, the display module 160, the sensor module 176, or the communication module 190) It is possible to control at least some of the related functions or states.
  • the auxiliary processor 123 eg, an image signal processor or a communication processor
  • the auxiliary processor 123 may include a hardware structure specialized for processing an artificial intelligence model.
  • AI models can be created through machine learning. Such learning may be performed, for example, in the electronic device 101 itself where the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 108).
  • the learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning or reinforcement learning, but in the above example Not limited.
  • the artificial intelligence model may include a plurality of artificial neural network layers.
  • Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the foregoing, but is not limited to the foregoing examples.
  • the artificial intelligence model may include, in addition or alternatively, software structures in addition to hardware structures.
  • the memory 130 may store various data used by at least one component (eg, the processor 120 or the sensor module 176) of the electronic device 101 .
  • the data may include, for example, input data or output data for software (eg, program 140) and commands related thereto.
  • the memory 130 may include volatile memory 132 or non-volatile memory 134 .
  • 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 .
  • the input module 150 may receive a command or data to be used by a component (eg, the processor 120) of the electronic device 101 from the outside of the electronic device 101 (eg, a user).
  • the input module 150 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).
  • the sound output module 155 may output sound signals to the outside of the electronic device 101 .
  • the sound output module 155 may include, for example, a speaker or a receiver.
  • the speaker can be used for general purposes such as multimedia playback or recording playback.
  • a receiver may be used to receive an incoming call. According to one embodiment, the receiver may be implemented separately from the speaker or as part of it.
  • the display module 160 may visually provide information to the outside of the electronic device 101 (eg, a user).
  • the display module 160 may include, for example, a display, a hologram device, or a projector and a control circuit for controlling the device.
  • the display module 160 may include a touch sensor configured to detect a touch or a pressure sensor configured to measure the intensity of force generated by the touch.
  • the audio module 170 may convert sound into an electrical signal or vice versa. According to an embodiment, the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device connected directly or wirelessly to the electronic device 101 (eg: Sound may be output through the electronic device 102 (eg, a speaker or a headphone).
  • the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device connected directly or wirelessly to the electronic device 101 (eg: Sound may be output through the electronic device 102 (eg, a speaker or a headphone).
  • the sensor module 176 detects an operating state (eg, power or temperature) of the electronic device 101 or an external environmental state (eg, a user state), and generates an electrical signal or data value corresponding to the detected state. can do.
  • the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a bio sensor, It may include a temperature sensor, humidity sensor, or light sensor.
  • 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 (eg, the electronic device 102).
  • the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.
  • HDMI high definition multimedia interface
  • USB universal serial bus
  • SD card interface Secure Digital Card interface
  • audio interface audio interface
  • connection terminal 178 may include a connector through which the electronic device 101 may be physically connected to an external electronic device (eg, the electronic device 102).
  • the connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).
  • the haptic module 179 may convert electrical signals into mechanical stimuli (eg, vibration or motion) or electrical stimuli that a user may perceive through tactile or kinesthetic senses.
  • the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.
  • the camera module 180 may capture still images and moving images. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.
  • the power management module 188 may manage power supplied to the electronic device 101 .
  • the power management module 188 may be implemented as at least part of a power management integrated circuit (PMIC), for example.
  • PMIC power management integrated circuit
  • the battery 189 may supply power to at least one component of the electronic device 101 .
  • the battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.
  • the communication module 190 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (eg, the electronic device 102, the electronic device 104, or the server 108). Establishment and communication through the established communication channel may be supported.
  • the communication module 190 may include one or more communication processors that operate independently of the processor 120 (eg, an application processor) and support direct (eg, wired) communication or wireless communication.
  • the communication module 190 may be a wireless communication module 192 (eg, 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 (eg, a : a local area network (LAN) communication module or a power line communication module).
  • a wireless communication module 192 eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module
  • GNSS global navigation satellite system
  • wired communication module 194 eg, a : a local area network (LAN) communication module or a power line communication module.
  • a corresponding communication module is a first network 198 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 199 (eg, legacy It may communicate with the external electronic device 104 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a telecommunications network such as a computer network (eg, a LAN or a WAN).
  • a telecommunications network such as a computer network (eg, a LAN or a WAN).
  • These various types of communication modules may be integrated as one component (eg, a single chip) or implemented as a plurality of separate components (eg, multiple chips).
  • the wireless communication module 192 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199.
  • subscriber information eg, International Mobile Subscriber Identifier (IMSI)
  • IMSI International Mobile Subscriber Identifier
  • the electronic device 101 may be identified or authenticated.
  • the wireless communication module 192 may support a 5G network after a 4G network and a next-generation communication technology, for example, NR access technology (new radio access technology).
  • NR access technologies include high-speed transmission of high-capacity data (enhanced mobile broadband (eMBB)), minimization of terminal power and access of multiple terminals (massive machine type communications (mMTC)), or high reliability and low latency (ultra-reliable and low latency (URLLC)).
  • eMBB enhanced mobile broadband
  • mMTC massive machine type communications
  • URLLC ultra-reliable and low latency
  • -latency communications can be supported.
  • the wireless communication module 192 may support a high frequency band (eg, mmWave band) to achieve a high data rate, for example.
  • the wireless communication module 192 uses various technologies for securing performance in a high frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), and full-dimensional multiplexing. Technologies such as input/output (FD-MIMO: full dimensional MIMO), array antenna, analog beam-forming, or large scale antenna may be supported.
  • the wireless communication module 192 may support various requirements defined for the electronic device 101, an external electronic device (eg, the electronic device 104), or a network system (eg, the second network 199).
  • the wireless communication module 192 may be used to realize peak data rate (eg, 20 Gbps or more) for realizing eMBB, loss coverage (eg, 164 dB or less) for realizing mMTC, or U-plane latency (for realizing URLLC).
  • peak data rate eg, 20 Gbps or more
  • loss coverage eg, 164 dB or less
  • U-plane latency for realizing URLLC.
  • DL downlink
  • UL uplink each of 0.5 ms or less, or round trip 1 ms or less
  • the antenna module 197 may transmit or receive signals or power to the outside (eg, an external electronic device).
  • the antenna module 197 may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (eg, PCB).
  • the antenna module 197 may include a plurality of antennas (eg, 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 is selected from the plurality of antennas by the communication module 190, for example. can be chosen A signal or power may be transmitted or received between the communication module 190 and an external electronic device through the selected at least one antenna.
  • other components eg, a radio frequency integrated circuit (RFIC) may be additionally formed as a part of the antenna module 197 in addition to the radiator.
  • RFIC radio frequency integrated circuit
  • the antenna module 197 may form a mmWave antenna module.
  • the mmWave antenna module includes a printed circuit board, an RFIC disposed on or adjacent to a first surface (eg, a lower surface) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, array antennas) disposed on or adjacent to a second surface (eg, a top surface or a side surface) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.
  • peripheral devices eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)
  • signal e.g. commands or data
  • commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199 .
  • Each of the external electronic devices 102 or 104 may be the same as or different from the electronic device 101 .
  • all or part of operations executed in the electronic device 101 may be executed in one or more external electronic devices among the external electronic devices 102 , 104 , or 108 .
  • the electronic device 101 when the electronic device 101 needs to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device 101 instead of executing the function or service by itself.
  • one or more external electronic devices may be requested to perform the function or at least part of the service.
  • One or more external electronic devices receiving the request may execute at least a part of the requested function or service or an additional function or service related to the request, and deliver the execution result to the electronic device 101 .
  • the electronic device 101 may provide the result as at least part of a response to the request as it is or additionally processed.
  • cloud computing distributed computing, mobile edge computing (MEC), or client-server computing technology may be used.
  • the electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing.
  • the external electronic device 104 may include an internet of things (IoT) device.
  • Server 108 may be an intelligent server using machine learning and/or neural networks. According to one embodiment, the external electronic device 104 or server 108 may be included in the second network 199 .
  • the electronic device 101 may be applied to intelligent services (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.
  • FIG. 2 is an example of a system in which a plurality of devices capable of displaying measured data are interlocked according to an embodiment of the present disclosure.
  • a system 200 may include an electronic device 210 and at least one peripheral device (eg, a wearable or attachable device).
  • the electronic device may be a smart phone 210 .
  • the peripheral device may be at least one of a smart watch 220, an earphone 230, a smart glasses 240, a smart band (not shown), a smart ring (not shown), and a smart patch (not shown).
  • a smart band (not shown), a smart ring (not shown), and/or a smart patch (not shown) may be examples of peripheral devices for measuring user's biometric data.
  • the electronic device 210 may interwork with at least one peripheral device.
  • the electronic device 210 may operate in association with the smart watch 220, and the electronic device 210 may operate in association with both the smart watch 220 and the earphone 230.
  • the electronic device 210 may operate in conjunction with a plurality of wearable devices (eg, smart watches, smart bands, and smart rings).
  • the electronic device 210 may include a communication module (eg, the communication module 190 of FIG. 1 ).
  • the communication module 190 may support a short-range communication network such as Bluetooth, WiFi direct, or IrDA.
  • the electronic device 210 may connect to peripheral devices using the communication module 190 .
  • the electronic device 210 may be connected to at least one of the smart watch 220, the earphone 230, and the smart glasses 240 using Bluetooth.
  • the electronic device 210 may pre-register a peripheral device, and when the registered peripheral device comes within a certain radius, it may connect with the peripheral device.
  • the electronic device 210 When the electronic device 210 is connected to a peripheral device through the communication module 190, it can transmit and receive data.
  • the electronic device 210 may include a sensor module (eg, the sensor module 176 of FIG. 1 ).
  • the sensor module 176 may include, for example, a gyro sensor and/or an acceleration sensor.
  • the electronic device 210 may collect data measured using the sensor module 176 .
  • the electronic device 210 may process the collected data and display it on a display (eg, the display module 160 of FIG. 1 ).
  • the electronic device 210 may display data received from a peripheral device on the display 160 in addition to directly collected data.
  • the electronic device 210 may display on the display 160 data obtained by directly processing the collected data and the data received from the peripheral device.
  • the peripheral device may be a device that includes a communication module and a sensor module like the electronic device 210 and can communicate with the electronic device 210 .
  • Peripheral devices such as smart watch 220, earphone 230, smart glasses 240, smart band (not shown), smart ring (not shown), and/or smart patch (not shown) are also connected to the electronic device 210.
  • it may include a communication module and a sensor module.
  • the smart watch 220, earphone 230, smart glasses 240, smart band (not shown), smart ring (not shown), and smart patch (not shown) can also collect data using the sensor module, Collected data can be processed and displayed on a display.
  • Sensor modules of the smart watch 220, earphone 230, smart glasses 240, smart band (not shown), smart ring (not shown), and/or smart patch (not shown) of the electronic device 210 It may collect different and/or the same data as the sensor module. Sensor modules of the smart watch 220, earphone 230, smart glasses 240, smart band (not shown), smart ring (not shown), and/or smart patch (not shown) and the electronic device 210 When the sensor module collects the same data, the electronic device 210 and the smart watch 220, the earphone 230, the smart glasses 240, the smart band (not shown), the smart ring (not shown), and/or When a smart patch (not shown) is linked, data collected from each device may also be linked.
  • the electronic device 210, the smart watch 220, the earphone 230, the smart glasses 240, the smart band (not shown), the smart ring (not shown), and the smart patch (not shown) are interlocked, the electronic device 210, smart watch 220, earphone 230, smart glasses 240, smart band (not shown), smart ring (not shown), and smart patch (not shown) can display the same data on the display.
  • the electronic device 210, smart watch 220, earphone 230, smart glasses 240, smart band (not shown), smart ring (not shown), and smart patch (not shown) can display the same data on the display.
  • a smart watch or/and smart glasses may be described as an example of a peripheral device.
  • FIG 3 is an internal block diagram of an electronic device according to an embodiment of the present disclosure.
  • an electronic device 300 (eg, the electronic device 101 of FIG. 1 ) includes a display 310 (eg, the display module 160 of FIG. 1 ), a memory 320 (eg, the electronic device 101 of FIG. 1 ). memory 130), processor 330 (eg, processor 120 of FIG. 1), sensor module 340 (eg, sensor module 176 of FIG. 1), and/or communication module 350 ( Example: It may include at least a part of the communication module 190 of FIG. 1 .
  • the display 310 may be operatively connected to the processor 330 to display data received from the processor 330 .
  • the display 310 may display the received data.
  • the memory 320 may be operatively connected to the processor 330 to store data received from the processor 330 .
  • data collected from the sensor module 340 may be stored in the memory 320 by the processor 330 .
  • the processor 330 may control other internal components of the electronic device 300 .
  • the processor 330 may control the communication module 350 to communicate with other devices.
  • the processor 330 may display processed data by controlling the display 310 .
  • the processor 330 may execute the application 331 .
  • the application 331 described in this disclosure may include a function of displaying data measured using the sensor module 340 or processing and displaying the data.
  • the application 331 may include a function of accumulating and displaying data measured for a certain period of time.
  • the application 331 may include a function of converting accumulated data measured for a certain period of time into other information and displaying the result.
  • the application 331 may execute the data platform 332 to retrieve data measured using the sensor module 340 .
  • the data platform 332 may generate a response to the query and transmit it to the application 331.
  • the data platform 332 may collect and store data from the sensor module 340 and generate a response to a query received from the application 331 .
  • the data platform 332 may include at least some of a query handler 333 , a data synthesizer 334 , a sensor data collector 335 , a database 336 , and a data synchronizer 337 .
  • the data platform 332 can exist within one application. Alternatively, the data platform 332 may exist at the operating system or framework level of the electronic device 300 . According to one embodiment, the data platform 332 may provide requested data and may be referred to as a data provider.
  • the query handler 333 may receive a query from the application 331 .
  • Query handler 333 may search database 336 based on the received query.
  • the query handler 333 may deliver a search result to the application 331 as a response to the query.
  • the query handler 333 may search the database 336 for each device (eg, electronic device, peripheral device) that measured data.
  • the query handler 333 may search the database 336 for each time interval in which data is measured (eg, 1:00 to 2:00, 2 days to 10 days).
  • the query handler 333 determines whether a response to a query for data measured by the electronic device 300 or a response to a query for interlocked data is determined from the overall summary data and the sensor module 340. It can be created by summing up the data.
  • the query handler 333 may generate a query response for a nearby device using summary data received from the nearby device.
  • the data synthesizer 334 may generate summary data of the electronic device using data collected by the sensor data collector 335 .
  • the summary data of the device may be composed of data obtained by accumulating measured data in units of a certain time.
  • Summary data of the device may include, for example, start time, end time, measured data, and correction values as items.
  • the summary data of the device may further include the type of device and/or the type of available applications as items.
  • the summary data of the electronic device may be configured to include the number of steps accumulated per second and a correction value.
  • the data synthesizer 334 may directly receive data collected from the sensor data collector 335 or retrieve data collected by searching the database 336 .
  • the data synthesizer 334 may generate overall summary data using summary data of the electronic device and summary data of peripheral devices.
  • the overall summary data may be data generated to link measured data when an electronic device and a peripheral device are linked.
  • Overall summary data may include, for example, start time, end time, and accumulated data as items.
  • the overall summary data may further include section data as an item to store information not displayed as an item in the section data. For example, data measured in units of a certain time between a start time and an end time may be stored in the interval data.
  • the data synthesizer 334 may store the generated summary data in the memory 320 and/or the database 336 . Also, the data synthesizer 334 may transfer the generated summary data to the data synchronizer 337 .
  • the sensor data collector 335 may collect raw data from the sensor module 340 in real time. Sensor data collector 335 may store collected data in memory 320 and/or database 336 .
  • the database 336 may store summary data of an electronic device.
  • the database 336 may also store summary data of the received peripheral devices.
  • Database 336 may also store full summary data generated by data synthesizer 334 .
  • the database 336 may temporarily store data received from the sensor module 340 until summary data is generated or updated.
  • the data synchronizer 337 may perform synchronization between the electronic device 300 and peripheral devices.
  • the data synchronizer 337 may receive summary data of the peripheral device through the communication module 350 from the peripheral device.
  • the data synchronizer 337 may transfer the received summary data of the peripheral device to the data synthesizer 334 .
  • the data synchronizer 337 may transmit the entire summary data to be delivered by the data synthesizer 334 to the peripheral device through the communication module 350 .
  • the sensor module 340 may include at least one sensor.
  • the sensor module 340 may include a pedometer sensor 341 , a motion sensor 342 , a pressure sensor 343 , and a global positioning system (GPS) sensor 344 .
  • the pedometer sensor 341 and/or the motion sensor 342 may be used to measure at least one of the user's number of steps, distance traveled, activity time, and calories consumed by the user.
  • Barometric pressure sensor 343 can be used to measure changes in altitude.
  • the GPS sensor 344 may be used to measure a change in altitude and/or distance traveled by the user.
  • the sensor module 340 may further include a biosensor (photoplethysmogram, PPG) (not shown) capable of detecting a change in blood flow in microvessels of tissues.
  • a biosensor photoplethysmogram, PPG
  • the accumulated data is a sensor capable of measuring meaningful data, it may be further included in the sensor module 340 .
  • the communication module 350 may support the electronic device 300 to communicate with a peripheral device.
  • the communication module 350 may support a short-range communication network such as Bluetooth, WiFi direct, or IrDA to be connected to a peripheral device through a short-range communication network.
  • the communication module 350 may set a communication method and period differently according to the schedule of the processor 330 . For example, the communication module 350 may perform communication only when necessary to reduce power consumption.
  • the communication module 350 may receive summary data of a nearby device from a nearby device.
  • the communication module 350 may transmit entire summary data generated by the data synthesizer 334 to a peripheral device.
  • the communication module 350 may transmit summary data of a peripheral device (eg, smart watch) to another peripheral device (eg, smart glasses).
  • peripheral devices may also include at least a part of the internal configuration of the electronic device.
  • 4A and 4B illustrate information that can be transmitted and received between an electronic device and a plurality of peripheral devices according to an embodiment of the present disclosure.
  • the electronic device 410 may interwork with the smart watch 420 and/or the smart glasses 430 .
  • the electronic device 410, the smart watch 420, and the smart glasses 430 collect (or can be measured).
  • FIG. 4A illustrates information that can be transmitted to the electronic device 410 from a peripheral device that can interwork with the electronic device 410 .
  • a smart watch 420 and/or smart glasses 430 which are peripheral devices that can be linked with an electronic device 410, processes data collected using at least one sensor 340 to obtain an electronic device. Synchronization with 410 may be performed, and processed data may be transmitted at a predetermined period, when necessary, or/and at the request of the electronic device 410 .
  • the processed data transmitted by the smart watch 420 and/or the smart glasses 430 may be summary data that organizes data collected by each device using at least one sensor 340 .
  • the 4B illustrates information that the electronic device 410 can transmit to interoperable peripheral devices.
  • the electronic device 410 may also collect and process data using at least one sensor 340 .
  • the electronic device 410 may generate summary data of the electronic device by arranging data collected using at least one sensor 340 .
  • the electronic device 410 when the electronic device 410 performs a synchronization task as shown in FIG. 4A, at a predetermined period, when necessary, and/or upon request, from the smart watch 420 and/or the smart glasses 430 as peripheral devices. You can receive summary data.
  • the electronic device 410 may generate overall summary data by synthesizing the summary data of each device received from the peripheral device and the summary data of the electronic device. When the entire summary data is generated, the electronic device 410 may transmit the generated overall summary data to the peripheral device.
  • a peripheral device requests total summary data
  • the electronic device 410 may transmit generated total summary data.
  • the electronic device 410 may transmit summary data of other devices, for example, the electronic device 410 and other peripheral devices, in addition to overall summary data.
  • FIGS. 4A and 4B show different smart watches 420 and smart glasses 430 as peripheral devices that can be linked with the electronic device 410, but a plurality of peripheral devices of the same type can be linked with the electronic device.
  • a plurality of wearable devices eg, a smart watch, a smart band, and a smart ring
  • a device including a sensor and capable of interoperating with the electronic device 410 may be a peripheral device of the electronic device.
  • FIG. 5 illustrates a process of generating summary data by processing data collected from each device according to an embodiment of the present disclosure.
  • an electronic device may generate its own summary data according to a change in time based on time.
  • the electronic device 300 may generate its own summary data by processing data directly collected through a sensor (eg, the sensor module 340 of FIG. 3 ).
  • a sensor eg, the sensor module 340 of FIG. 3
  • the sensor data collector 335 receives the raw data 510
  • the converted data eg, number of steps, distance moved
  • a data synthesizer eg, the data synthesizer 334 of FIG. 3 ).
  • the data synthesizer 334 may generate or update its own summary data 520 based on data received from the sensor data collector 335 per unit time. Data synthesizer 334 may temporarily or permanently store the generated summary data in a database (eg, database 336 of FIG. 3 ).
  • 1 minute is described as an example of a unit of time, but the size of the unit time may be different depending on the characteristics of data to be collected. For example, when the data to be collected is calories consumed, 10 minutes may be a unit time because it takes a long time to consume calories.
  • the unit time may be set by a user in consideration of characteristics of data to be collected.
  • the size of the unit time may also vary depending on the type or characteristics (eg, types and characteristics of electronic devices and/or peripheral devices) of devices collecting data. For example, a peripheral device for the purpose of health care of a user, such as a smart band, may be set to have a small size of unit time.
  • the electronic device 300 may receive summary data 530 generated by the peripheral device from a peripheral device (eg, the smart watch 420 of FIG. 4 ).
  • the peripheral device 420 may also generate its own summary data 530 in the same or similar way as the method in which the electronic device 300 generates its own summary data 520 .
  • the electronic device 300 may generate overall summary data 540 by synthesizing its own summary data 520 and summary data 530 of a nearby device.
  • the electronic device 300 may generate overall summary data 540 .
  • the electronic device 300 may generate overall summary data 540 at regular intervals, when necessary, and/or at the request of the electronic device 300 or the peripheral device 420. there is.
  • the overall summary data 540 may adopt higher data among data per unit time of the summary data 520 of the electronic device and the summary data 530 of the peripheral device. For example, between 14:31 and 14:32, the data 520-1 collected from the electronic device 300 is 0, and the data 530-1 collected from the peripheral device 420 is 40 days. At this time, as the total summary data 540-1, the larger value of 40 among the data 520-1 collected from the electronic device 300 and the data 530-1 collected from the peripheral device 420 may be selected.
  • the total summary data 540-2 may be 100, which is the largest value among the data 520-2 collected from the electronic device 300 and the data 530-2 collected from the peripheral device 420.
  • the overall summary data may be a set of data in which a larger value is selected by comparing summary data of the electronic device and summary data of the peripheral device per unit of time.
  • the number of peripheral devices for generating overall summary data by summing the electronic device and one peripheral device is not limited.
  • FIG 6 illustrates an example of summary data stored in an electronic device according to an embodiment of the present disclosure.
  • the summary data 670-1 of the electronic device may be stored in a memory or database.
  • the electronic device may receive summary data 670 - 2 of the peripheral device and update or store the summary data 670 - 2 in a memory or database.
  • the electronic device may receive raw data of the peripheral device, generate summary data of the peripheral device, and update or store the peripheral device in a memory or database.
  • the electronic device may generate overall summary data 680 using the summary data 670-1 of the electronic device and the summary data 670-2 of the peripheral device.
  • the electronic device may update or store the generated summary data 680 in a memory or database.
  • the electronic device may store the entire summary data 680 in a memory or database.
  • the electronic device may use the entire summary data 680 to generate a response to a query by an application.
  • the entire summary data 680 may be data that cannot be requested to be read through a query.
  • summary data may be managed in units of records.
  • the summary data may include start time 610 , end time 620 , device type 630 , app type 640 , and data 650 .
  • the summary data may further include section data 660 .
  • the start time 610 may be the first collectable time of data managed as a record.
  • the end time 620 may be the last collectable time of data managed as a record. For example, if a record is stored in units of one day, the start time 610 may be 00:00:00 AM, and the end time 620 may be 00:00:00 AM the next day.
  • the type of device 630 may indicate a device from which data managed as a record is collected.
  • the type of device 630 is a device that has collected data, and may store an ID of a device (eg, an electronic device or a peripheral device) or a device name set by a user.
  • the app type 640 may indicate an app that created a corresponding record. In the app type 640, other apps other than the created app can read the corresponding record, but only the created app can modify or delete the corresponding record.
  • the data 650 may store total accumulated data from the start time to the end time.
  • the section data 660 data in units of a certain time between the start time 610 and the end time 620 may be stored.
  • the section data 660 may be a hidden field. For example, detailed data in units of 1 minute from the start time to the end time may be stored in the section data 660 .
  • the section data 660 may be data that cannot be requested to be read through a query.
  • FIG. 7A to 7D illustrate an example of a process of generating current data using overall summary data according to an embodiment of the present disclosure.
  • the electronic device may perform synchronization with the smart watch at 2:35 pm.
  • the electronic device may receive summary data of the smart watch from the smart watch during synchronization.
  • the electronic device may generate overall summary data by adding up the received summary data of the smart watch and the summary data of the electronic device. For example, if the number of steps measured by the smart watch before synchronization is 3000 and the number of steps measured by the electronic device is 1500, and the electronic device and the smart watch perform synchronization, the final step after synchronization is completed.
  • the number may be 3400.
  • the number of steps determined by the synchronization operation may be greater than the greater of the number of steps measured by the electronic device and the number of steps measured by the smart watch because the greater number of steps measured by each device for each unit of time is determined and summed.
  • the electronic device may transmit the generated overall summary data to the smart watch.
  • the electronic device and the smart watch may calculate the increased number of steps by receiving data from the sensor in real time.
  • the final number of steps calculated by each electronic device and smart watch will be determined by adding the number of steps calculated according to the most recent synchronization operation and the number of steps measured by each device after the synchronization operation.
  • the electronic device may perform synchronization with the smart watch again at 2:38:30 pm. Similar to FIG. 7A , the electronic device may update overall summary data using the summary data of the electronic device and the summary data of the smart watch. Each summary data may be determined for each predetermined time unit. In FIG. 7B , the number of steps may be determined per minute. Therefore, the number of steps until pm 2:38:00 may be a value determined in the summary data, but the number of steps from pm 2:38:00 to pm 2:38:30 is determined in the summary data because the unit time is not filled. may not be a value. If the synchronization task is performed before the unit time is filled, the electronic device and the smart watch may perform the synchronization task using a value that has not yet been determined.
  • the number of steps calculated by the electronic device as total summary data at 2:38:00 pm may be 3500.
  • Overall summary data between 2:38:00 pm and 2:38:30 pm may be determined as a larger value between the number of steps measured by the electronic device and the number of steps measured by the smart watch. If the number of steps measured by the smart watch between 2:38:00 pm and 2:38:30 pm is 30 and the number of steps to be measured by the electronic device is 50, the number of steps determined by the overall summary data may be 50.
  • the electronic device may perform synchronization with the smart watch again at 2:39:00 pm.
  • the electronic device may perform a synchronization operation with the smart watch at 2:38:30 pm and again at 2:39:00 pm. Since the electronic device and the smart watch performed synchronization at 2:38:30 pm, the number of steps between 2:38:30 pm and 2:39:00 pm can be generated as summary data for each device. Between 2:38:30 pm and 2:39:00 pm, the number of steps measured by the smart watch may be 50, and the number of steps measured by the electronic device may be 20.
  • the electronic device Before performing the sync operation again at 2:39:00 pm, the electronic device performed a sync operation with the smart watch at 2:38:30 pm to generate the correction value, so the time from 2:38:00 pm to 2:38 pm
  • the number of steps measured between :30, the correction value, and the number of steps measured between 2:38:30 pm and 2:39:00 pm may all be summed up and displayed on the display.
  • a smart watch like any other electronic device, measures the number of steps taken between 2:38:00 pm and 2:38:30 pm, the calibration value, and the number of steps measured between 2:38:30 pm and 2:39:00 pm. can be summed up and displayed on the display. Referring to FIG.
  • the smart watch may transmit summary data generated by the number of steps between 2:38:30 pm and 2:39:00 pm to the electronic device.
  • the electronic device may update overall summary data by summing summary data generated by the number of steps between 2:38:30 pm and 2:39:00 pm of the electronic device and summary data transmitted by the smart watch.
  • the overall summary data updated by the electronic device is the number of steps between 2:38:30 pm and 2:39:00 pm, which is the greater of the number of steps calculated during the previous synchronization operation (50) and the number of received steps (50). ) may be added to determine the final number of steps.
  • the larger value of the sum of the number of steps between 2:38:00 pm and 2:39:00 pm and the correction value may be determined as the final number of steps.
  • FIG. 7D shows the number of steps after the electronic device and the smart watch are synchronized at 2:39:00 pm.
  • total summary data of pm 2:38:00 may be 3500.
  • FIG. 7C the number of steps between 2:38:00 pm and 2:39:00 pm updated by the electronic device as summary data is 70, and between 2:38:00 pm and 2:39 pm updated by the smart watch as summary data. If the number of steps between :00 is 80, 100, which is a larger value among values including each correction value, may be stored in the overall summary data.
  • the larger value may be determined among the number of steps between 2:38:00 pm and 2:39:00 pm.
  • 8A and 8B illustrate an example of generating overall summary data according to an embodiment of the present disclosure.
  • FIG. 8A illustrates that an electronic device temporarily stores data received from a peripheral device through a synchronization operation with a peripheral device and data collected by the electronic device through a sensor in a memory or a database.
  • the number of steps measured by the electronic device from 14:36:00 to 14:37:00 on November 9, 2020 is 60
  • the correction value is 20
  • the number of steps measured by the smart watch at the same time is 70
  • the correction value is zero.
  • the number of steps measured by the electronic device is 55
  • the correction value is 0, and the number of steps measured by the smart watch at the same time is 35;
  • the correction value is 0.
  • FIG. 8B shows an example of updating all summary data using FIG. 8A.
  • the updated time may be 14:35:12 (830) on November 9, 2020. Since the entire summary data is updated during the unit time, the electronic device may perform the update starting at 14:35:00 on November 9, 2020 at the start time. Since one record represents a day in the overall summary data, data measured in unit time may be stored in the interval data 840 .
  • the section data 840 may store a start time of unit time and the number of steps calculated per unit time.
  • the number of steps calculated from 14:35:00 to 14:36:00 on November 9, 2020 is 75, and from 14:36:00 to 14:37:00 on November 9, 2020.
  • the calculated number of steps may be 80.
  • the number of steps calculated from 14:35:00 to 14:36:00 on November 9, 2020 is unknown from Fig. 8a, but the number of steps between 14:36:00 and 14:37:00 on November 9, 2020 can be calculated from FIG. 8a.
  • the number of steps calculated by the electronic device between 14:36:00 and 14:37:00 on November 9, 2020 may be 80 by adding 60 the measured number of steps and a correction value of 20, and the smart watch
  • the number of steps calculated by may be 80, which is the sum of the measured number of steps 70 and the correction value 0.
  • the number of steps between 14:36:00 and 14:37:00 on November 9, 2020 to be stored in the section data 840 of the overall summary data is the number of steps calculated by the electronic device and the number of steps calculated by the smart watch. Among them, 80, which is the largest value, can be stored. Similarly, the number of steps between 14:37:00 and 14:38:00 on November 9, 2020 can be calculated from FIG. 8A.
  • the number of steps calculated by the electronic device between 14:37:00 and 14:38:00 on November 9, 2020 may be 55 by adding the measured number of steps 55 and the correction value 0, and the number of steps calculated by the smart watch is It may be 35 by adding the measured number of steps 35 and the correction value 0.
  • the number of steps between 14:37:00 and 14:38:00 on November 9, 2020 to be stored in the section data 840 of the overall summary data is the number of steps calculated by the electronic device and the number of steps calculated by the smart watch. Among them, 55, which is the largest value, can be stored.
  • 9a, 9b, and 9c illustrate an example of updating summary data in each device according to an embodiment of the present disclosure.
  • FIG. 9A illustrates overall summary data generated by the electronic device and transmitted to each device in FIG. 8B.
  • the time when all summary data is updated may be 14:37:30 on November 9, 2020.
  • the number of steps per unit time can be known from information stored in the section data. November 9, 2020 75 steps between 14:35:00 and 14:36:00, 80 between 14:36:00 and 14:37:00, and 14:37:00 to 14:38
  • the number of steps between :00 may be 55. Since the updated time is 14:37:30, the number of steps between 14:37:00 and 14:38:00 may not be a fixed value.
  • 9B and 9C illustrate an example in which an electronic device and a smart watch update their own summary data using overall summary data.
  • the electronic device and the smart watch may update the number of steps for the corresponding unit time. For example, when 14:38:00 has elapsed, the electronic device may update the number of steps between 14:37:00 and 14:38:00.
  • the number of steps measured by the electronic device between 14:37:00 and 14:38:00 may be 56 (910), and the number of steps stored in the overall summary data may be 55, which is smaller than the number of steps measured by the electronic device. .
  • the correction value (the number of steps stored in the overall summary data - the number of steps measured by the electronic device) is a negative number, the electronic device may ignore this value and set the correction value to 0.
  • the smart watch can also update the summary data.
  • the smart watch can also update the step count between 14:37:00 and 14:38:00.
  • the number of steps measured by the smart watch between 14:37:00 and 14:38:00 may be 37 (920), and the number of steps stored in the overall summary data may be 55.
  • the smart watch may update the calibration values in its summary data.
  • 10A and 10B illustrate an example in which a smart watch calculates the number of steps in real time according to an embodiment of the present disclosure.
  • FIG. 10A may be overall summary data received by the smart watch from the electronic device. Referring to FIG. 10A , the overall summary data may be updated at 14:37:30 on November 9, 2020. FIG. 10A is the same as the previously described FIG. 9A, and the description of FIG. 10A may be omitted to avoid duplication of description.
  • 10B may show, for example, summary data of a smart watch at 14:37:40.
  • the smart watch may update the summary data of the smart watch using the overall summary data received from the electronic device.
  • the smart watch may update the calculated correction value to the summary data as shown in FIGS. 9B and 9C .
  • the smart watch can update the number of steps measured in real time.
  • the smart watch may calculate the total number of accumulated steps using overall summary data and summary data of the smart watch. Since the total summary data is updated at 14:37:30, the smart watch ignores the number of steps (55) stored in the total summary data between 14:37:00 and 14:38:00 and returns to 14:37:00. It can be calculated by adding the number of steps measured by the smart watch from 14:37:00 to 14:37:40 to the accumulated number of steps (3400-55) and the correction value.
  • 11A and 11B illustrate an example of generating summary data when a time zone is changed according to an embodiment of the present disclosure.
  • FIG. 11A shows, for example, a case where a user moves from Seoul to San Francisco on April 23 by plane. Even though the user moved to San Francisco by plane from Seoul in the afternoon of April 23, the time of arrival in San Francisco may be the morning of April 23. Since Seoul's standard time is UTC (universal time coordinated)+9 and San Francisco's standard time is UTC-8, April 23 can be 41 hours for the user. In this way, when the electronic device moves and the time zone is changed, it may be difficult to calculate accumulated data because a specific time zone may repeat or disappear in the electronic device and peripheral devices. For example, if the number of steps taken by a user on April 23 is retrieved, it may be necessary to select whether April 23 should be 41 hours or 24 hours.
  • UTC universal time coordinated
  • the electronic device may generate new summary data based on the corresponding time zone. For example, as shown in FIG. 11B , a user carrying an electronic device may move from Seoul to San Francisco on April 23, 2021. For example, when it is confirmed that the time zone is changed through communication with the base station, the electronic device may newly generate summary data of the corresponding date. The electronic device may generate summary data 1110 on April 23 when the user departed from Seoul and summary data 1120 on April 23 when the user arrived in San Francisco. Referring to FIG. 11B , a user with an electronic device may depart from San Francisco on April 24 and arrive in Seoul on April 26. Since the electronic device can confirm that the time zone has changed on April 26, summary data 1150 for April 26 in Seoul, summary data 1130 for April 24 in San Francisco, and summary data for April 25 Data 1140 may be generated.
  • an application that queries the number of steps may provide two options.
  • the application may provide the number of steps retrieved considering the local time or the number of steps retrieved considering the absolute time. For example, if the total number of steps taken by the user on April 23 is queried, a summation result of summary data 1110 for April 23 in Seoul and summary data 1120 for April 23 in San Francisco may be displayed. .
  • the number of steps taken by the user for one day (24 hours) in t2 (1160) in absolute time is retrieved, some summary data of April 24 in San Francisco (1170) and summary data of April 23 in San Francisco ( 1180) and summary data 1190 on April 23 in Seoul may be displayed.
  • FIG. 12 is a flowchart for synchronizing measured data by interworking between an electronic device and a peripheral device according to an embodiment of the present disclosure.
  • the electronic device 1210 may synchronize data measured by the electronic device 1210 and the peripheral device 1220 by performing synchronization with the peripheral device 1220 .
  • the peripheral device may be at least one of a smart watch, an earphone, smart glasses, a smart band, a smart ring, and a smart patch.
  • Accumulated data may be meaningful data that the electronic device 1210 and the peripheral device 1220 can match. For example, it may be at least one of the accumulated number of steps, calories consumed, distance traveled, and accumulated active time.
  • the peripheral device 1220 may transmit summary data of the peripheral device generated in operation 1230 to the electronic device 1210 .
  • the peripheral device 1220 may be, for example, one of a smart watch, smart glasses, and earphones.
  • the peripheral device 1220 may generate summary data using data measured through a sensor. Summary data generated by the peripheral device 1220 may include data measured per unit time.
  • the electronic device 1210 may generate overall summary data based on the summary data of the peripheral device received in operation 1240 and the summary data of the electronic device generated by the electronic device.
  • the electronic device 1210 may generate (or update) overall summary data with a larger value among the summary data of the peripheral device and the accumulated data in a unit of time included in the summary data of the electronic device.
  • the electronic device 1210 may transmit entire summary data generated in operation 1250 to the peripheral device 1220 .
  • the electronic device 1210 may additionally transmit summary data of the electronic device and/or summary data of other peripheral devices to the peripheral device.
  • operations 1230 to 1250 may be referred to as a synchronization task (or operation) 1260 .
  • the peripheral device 1220 may generate a correction value based on the entire summary data received in operation 1270 and the generated summary data of the peripheral device. According to an embodiment, the peripheral device 1220 may calculate and display final data on the display based on the overall summary data, correction values, and summary data of the peripheral device.
  • the electronic device 1210 may also generate a correction value based on the overall summary data and the summary data of the electronic device in operation 1280 . According to an embodiment, the electronic device 1210 may calculate and display final data on the display based on the overall summary data, correction values, and summary data of the electronic device.
  • the final data displayed on the display by the electronic device 1210 and the final data displayed on the display by the peripheral device 1220 from 1290 through synchronization between the electronic device 1210 and the peripheral device 1220. may be the same.
  • FIG. 13 is a flowchart of an electronic device according to an embodiment of the present disclosure.
  • an electronic device may generate summary data of the electronic device based on data measured using a sensor module in operation 1310 .
  • the summary data of the electronic device may include data obtained by accumulating data measured by a sensor module included in the electronic device 410 in units of a predetermined time. For example, if data to be measured by the electronic device 410 is the number of steps, and the user carries the electronic device 410 and moves from 13:00:00 to 13:10:00, the electronic device 410 The number of steps measured is accumulated over a certain period of time (for example, every minute) to obtain summary data (e.g. 13:00:00 ⁇ 13:01:00 - 30 steps, 13:01:00 ⁇ 13:02: 00 - 35 steps).
  • the electronic device 410 may receive summary data of the peripheral device from the peripheral device (eg, the smart watch 420 or the smart glasses 430 of FIGS. 4A and 4B ) in operation 1320 .
  • the peripheral device may also generate summary data of the peripheral device as described above in operation 1310 of the electronic device summary data of the electronic device.
  • the electronic device 410 may receive summary data of nearby devices at regular intervals according to a request of the electronic device 410 or a request of the nearby devices 420 and 430 .
  • the electronic device 410 may generate or update overall summary data based on the summary data of the peripheral device received in operation 1330 and the generated summary data of the electronic device.
  • the electronic device 410 may create or update overall summary data with a larger value among the summary data of the peripheral device and the accumulated data in a unit of time included in the summary data of the electronic device. If there is no overall summary data, the electronic device 410 may generate overall summary data.
  • the electronic device 410 may update the entire summary data if there is generated overall summary data.
  • the electronic device 410 may calculate a correction value based on the overall summary data and the summary data of the electronic device.
  • the correction value may be a value obtained by subtracting data accumulated by a predetermined time unit included in the summary data of the electronic device from data accumulated by a unit of a predetermined time included in the overall summary data. According to an embodiment, if the calculated correction value is a negative number, the electronic device 410 may determine the correction value as 0.
  • the electronic device 410 may calculate final data based on overall summary data, correction values, and summary data of the electronic device.
  • FIG. 14 is a flowchart of a peripheral device according to an embodiment of the present disclosure.
  • the peripheral device (eg, the smart watch 420 or the smart glasses 430 of FIGS. 4A and 4B) generates summary data of the peripheral device based on data measured using the sensor module in operation 1410 can do.
  • the summary data of an electronic device eg, the electronic device 410 of FIGS. 4A and 4B
  • the summary data of the peripheral devices is data measured by a sensor module included in the peripheral devices 420 and 430 in units of a certain time. It can contain accumulated data.
  • the peripheral devices 420 and 430 may transmit the summary data of the peripheral devices generated in operation 1420 to the electronic device 410 .
  • the peripheral devices 420 and 430 electronically transmit summary data of the generated peripheral devices at regular intervals, when the electronic device 410 requests, or when the peripheral devices 420 and 430 need to interwork with the electronic device 410. device 410.
  • the peripheral devices 420 and 430 may receive overall summary data from the electronic device in operation 1430 .
  • the overall summary data may be data generated by an electronic device.
  • the overall summary data may be data generated by adding summary data of peripheral devices and summary data of electronic devices.
  • the peripheral devices 420 and 430 may calculate a correction value based on the overall summary data and the summary data of the peripheral devices.
  • the peripheral devices 420 and 430 may calculate final data based on overall summary data, correction values, and summary data of the peripheral devices.
  • the peripheral devices 420 and 430 may display the calculated final data on a display.
  • a smart watch or/and smart glasses are exemplified as a peripheral device, but the peripheral device may be at least one of a smart watch, an earphone, smart glasses, a smart band, a smart ring, and a smart patch.
  • An electronic device generates summary data of the electronic device based on data measured using a sensor module, a communication module, and the sensor module, and obtains information from a peripheral device using the communication module.
  • Receive summary data generate or update overall summary data based on the received summary data of the peripheral device and summary data of the electronic device, and determine a correction value based on the overall summary data and the summary data of the electronic device.
  • a processor for calculating final data based on the overall summary data, the correction value, and summary data of the electronic device, wherein the summary data includes data obtained by accumulating measured data in units of a predetermined time.
  • the total summary data may include total accumulated data.
  • the processor of the electronic device may transmit the generated overall summary data to the peripheral device using the communication module.
  • the processor of the electronic device generates the overall summary data with a larger value among the received summary data of the peripheral device and data accumulated in a unit of time included in the summary data of the electronic device. Or you can update
  • the processor of the electronic device obtains a correction value obtained by subtracting data accumulated in unit time included in summary data of the electronic device from data accumulated in unit time included in the overall summary data. can be calculated as
  • the processor of the electronic device may determine the correction value as 0.
  • the final data may be one of a cumulative number of steps, a total consumed calorie, a total moving distance, and a total activity time.
  • the processor of the electronic device may determine whether a time zone in which the electronic device is located has changed, and if it is determined that the time zone has changed, additionally create summary data of the electronic device. .
  • a peripheral device generates summary data of the peripheral device based on a sensor module, a communication module, and data measured using the sensor module, and summarizes the generated peripheral device using the communication module.
  • Send data to an electronic device receive overall summary data from the electronic device, calculate a correction value based on the overall summary data and summary data of the peripheral device, and calculate the overall summary data, the correction value, and
  • the processor of the peripheral device obtains a value obtained by subtracting data accumulated in unit time included in the summary data of the peripheral device from data accumulated in unit time included in the overall summary data, as the correction value. can be calculated as
  • the peripheral device may be one of a smart watch, smart glasses, earphones, a smart band, a smart ring, and a smart patch.
  • An operating method of an electronic device includes generating summary data of the electronic device based on data measured using a sensor module, receiving summary data of the peripheral device from a peripheral device, and Generating or updating overall summary data based on summary data of peripheral devices and summary data of the electronic device, calculating a correction value based on the overall summary data and summary data of the electronic device, and calculating the overall summary data. and calculating final data based on data, the correction value, and summary data of the electronic device, wherein the summary data includes data obtained by accumulating measured data in units of a predetermined time, and the overall summary data is May include total accumulated data.
  • the operating method of the electronic device may further include transmitting the generated overall summary data to the peripheral device.
  • the operation of generating or updating the entire summary data includes accumulating the received summary data of the peripheral device and the summary data of the electronic device in units of a predetermined time. It may be an operation of generating or updating the entire summary data with a larger value among the collected data.
  • the operation of calculating the correction value may include a predetermined time included in the summary data of the electronic device from data accumulated in a predetermined time unit included in the overall summary data. It may be an operation of calculating a value obtained by subtracting data accumulated in units as a correction value.
  • the calculating of the correction value may be an operation of calculating the correction value as 0 when the calculated correction value is a negative number.
  • the final data may be one of a cumulative number of steps, a total consumed calorie, a total moving distance, and a total activity time.
  • An operating method of an electronic device further includes determining whether a time zone in which the electronic device is located has changed and, if it is determined that the time zone has changed, newly generating summary data of the electronic device.
  • a method of operating a peripheral device includes generating summary data of the peripheral device based on data measured using a sensor module, and transmitting the generated summary data of the peripheral device to an electronic device. , Receiving overall summary data from the electronic device, calculating a correction value based on the overall summary data and the summary data of the peripheral device, the overall summary data, the correction value, and the summary data of the peripheral device and calculating final data based on , the summary data may include data obtained by accumulating measured data in units of a predetermined time, and the total summary data may include total accumulated data.
  • the operation of calculating the correction value is accumulated in the unit time included in the summary data of the peripheral device from the data accumulated in the unit time included in the overall summary data. It may be an operation of calculating a value obtained by subtracting the corrected data as the correction value.
  • the peripheral device may be one of a smart watch, smart glasses, earphones, a smart band, a smart ring, and a smart patch.
  • Electronic devices may be devices of various types.
  • the electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance.
  • a portable communication device eg, a smart phone
  • a computer device e.g., a smart phone
  • a portable multimedia device e.g., a portable medical device
  • a camera e.g., a portable medical device
  • a camera e.g., a portable medical device
  • a camera e.g., a portable medical device
  • a camera e.g., a camera
  • a wearable device e.g., a smart bracelet
  • first, second, or first or secondary may simply be used to distinguish a given component from other corresponding components, and may be used to refer to a given component in another aspect (eg, importance or order) is not limited.
  • a (e.g., first) component is said to be “coupled” or “connected” to another (e.g., second) component, with or without the terms “functionally” or “communicatively.”
  • the certain component may be connected to the other component directly (eg by wire), wirelessly, or through a third component.
  • module used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as, for example, logic, logical blocks, parts, or circuits.
  • a module may be an integrally constructed component or a minimal unit of components or a portion thereof that performs one or more functions.
  • the module may be implemented in the form of an application-specific integrated circuit (ASIC).
  • ASIC application-specific integrated circuit
  • a storage medium eg, internal memory 136 or external memory 138
  • a machine eg, electronic device 101
  • a processor eg, the processor 120
  • a device eg, the electronic device 101
  • the one or more instructions may include code generated by a compiler or code executable by an interpreter.
  • the device-readable storage medium may be provided in the form of a non-transitory storage medium.
  • the storage medium is a tangible device and does not contain a signal (e.g. electromagnetic wave), and this term refers to the case where data is stored semi-permanently in the storage medium. It does not discriminate when it is temporarily stored.
  • a signal e.g. electromagnetic wave
  • the method according to various embodiments disclosed in this document may be included and provided in a computer program product.
  • Computer program products may be traded between sellers and buyers as commodities.
  • a computer program product is distributed in the form of a device-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play Store TM ) or on two user devices (e.g. It can be distributed (eg downloaded or uploaded) online, directly between smart phones.
  • a device e.g. compact disc read only memory (CD-ROM)
  • an application store e.g. Play Store TM
  • It can be distributed (eg downloaded or uploaded) online, directly between smart phones.
  • at least part of the computer program product may be temporarily stored or temporarily created in a storage medium readable by a device such as a manufacturer's server, an application store server, or a relay server's memory.
  • each component (eg, module or program) of the above-described components may include a single object or a plurality of entities, and some of the plurality of entities may be separately disposed in other components. there is.
  • one or more components or operations among the aforementioned corresponding components may be omitted, or one or more other components or operations may be added.
  • a plurality of components eg modules or programs
  • the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by a corresponding component of the plurality of components prior to the integration. .
  • the actions performed by a module, program, or other component are executed sequentially, in parallel, iteratively, or heuristically, or one or more of the actions are executed in a different order, or omitted. or one or more other actions may be added.

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Abstract

Selon divers modes de réalisation, la présente invention concerne un dispositif électronique qui comprend : un module capteur ; un module de communication ; et un processeur pour générer des données récapitulatives du dispositif électronique sur la base de données mesurées au moyen du module capteur, recevoir des données récapitulatives d'un dispositif périphérique en provenance du dispositif périphérique au moyen du module de communication, générer ou mettre à jour des données récapitulatives totales sur la base des données récapitulatives reçues du dispositif périphérique et des données récapitulatives du dispositif électronique, calculer une valeur de correction sur la base des données récapitulatives totales et des données récapitulatives du dispositif électronique, et calculer des données finales sur la base des données récapitulatives totales, de la valeur de correction et des données récapitulatives du dispositif électronique, les données récapitulatives comprenant des données qui sont une accumulation de données mesurées par unités de temps fixes, et les données récapitulatives totales pouvant comprendre des données accumulées totales.
PCT/KR2022/011865 2021-08-10 2022-08-09 Dispositif électronique affichant des données mesurées, et procédé associé WO2023018185A1 (fr)

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KR1020210105029A KR20230023172A (ko) 2021-08-10 2021-08-10 측정한 데이터를 표시하는 전자 장치 및 이를 위한 방법
KR10-2021-0105029 2021-08-10

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140077009A (ko) * 2012-12-13 2014-06-23 주식회사 바이오스페이스 활동량계 및 이를 이용한 소비 칼로리 측정 방법
KR20160072438A (ko) * 2014-12-15 2016-06-23 엘지전자 주식회사 이동단말기 및 웨어러블 디바이스
US20160183881A1 (en) * 2003-11-18 2016-06-30 Adidas Ag Method and System for Processing Data from Ambulatory Physiological Monitoring
KR20170097888A (ko) * 2016-02-19 2017-08-29 삼성전자주식회사 복수의 디바이스들로부터 수집된 데이터 통합 및 제공 방법 및 이를 구현한 전자 장치
JP2018169175A (ja) * 2017-03-29 2018-11-01 シチズン時計株式会社 携帯端末、プログラム、及び歩度補正システム

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160183881A1 (en) * 2003-11-18 2016-06-30 Adidas Ag Method and System for Processing Data from Ambulatory Physiological Monitoring
KR20140077009A (ko) * 2012-12-13 2014-06-23 주식회사 바이오스페이스 활동량계 및 이를 이용한 소비 칼로리 측정 방법
KR20160072438A (ko) * 2014-12-15 2016-06-23 엘지전자 주식회사 이동단말기 및 웨어러블 디바이스
KR20170097888A (ko) * 2016-02-19 2017-08-29 삼성전자주식회사 복수의 디바이스들로부터 수집된 데이터 통합 및 제공 방법 및 이를 구현한 전자 장치
JP2018169175A (ja) * 2017-03-29 2018-11-01 シチズン時計株式会社 携帯端末、プログラム、及び歩度補正システム

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