JP2018148549A - Wearable device, mobile device and connection method thereof - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a wearable device, a mobile device and a connection method.SOLUTION: A connection method by a mobile device: receives sensor data of traceable operation, which is periodically broadcast by at least one wearable device; acquires visual data of the traceable operation of one wearable device within an acquisition range of the mobile device; calculates a matching degree with visual data acquired within the period corresponding to the sensor data within the respective periods, which is received from the wearable device with the period as a unit; determines a matching result of the mobile device and the respective wearable devices on the basis of the respective matching degrees on the respective wearable devices; and connects the mobile device with the matched wearable device. Thus, connection of the wearable device and the mobile device is realized, and user experience can be improved since the wearable device is not restricted to possess a hardware display function and intervention of a user is not required.SELECTED DRAWING: Figure 1

Description

  The present application relates to wireless communication, and more specifically to a wearable device, a mobile device, and a connection method thereof.

  Currently, the use of wearable devices, such as smart bracelets, smart watches, smart glasses, etc., is becoming more and more universal. Wearable devices allow users to monitor health, number of steps, running distance, etc. When using a wearable device, the user must first connect the wearable device to a mobile device such as a smartphone or tablet PC.

  Conventionally, there is already a connection method between a wearable device and a mobile device. For example, a user needs to scan a surrounding wearable device with a Bluetooth (registered trademark) module in the mobile device and manually connect from the scan list. Select and perform authentication and connection. Launch the connection application on the mobile device and confirm the user by touching the wearable device, then connect. The user connects by the numbers displayed on the display of the mobile device and wearable device. The user obtains an image displayed on the wearable device with the camera of the mobile device and connects. In a conventional method for connecting a wearable device and a mobile device, the user needs to be involved in the connection process between the wearable device and the mobile device, or the wearable device must have a hardware display function.

  Therefore, there is a need for a connection method between a wearable device and a mobile device that is not limited to the hardware display function of the wearable device and does not require user involvement.

  An object of the present invention is to provide a connection method between a wearable device and a mobile device.

  In one aspect of the present invention, a method for connecting a mobile device and a wearable device used in a mobile device, wherein the sensor data of a trackable operation periodically broadcast by the at least one wearable device is received. A step of acquiring visual data of a traceable operation of one wearable device within the capture range of the mobile device, and for each wearable device, in each cycle received from the wearable device in units of cycles. Calculating a matching degree between the sensor data and visual data acquired within a corresponding period, and determining a matching result between the mobile device and each wearable device based on each matching degree, and a matching wearable device Connecting the mobile device.

  In another aspect of the present invention, there is provided a method for connecting a wearable device and a mobile device used in a wearable device, wherein a sensor in the wearable device senses and measures a traceable operation of the wearable device. A step of periodically broadcasting sensor data indicating sensed and measured traceable motion to the mobile device, and a match result indicating that the wearable device and the mobile device from the mobile device match. Based on the step of connecting the wearable device and the mobile device, wherein the match result corresponds to sensor data in each cycle received from the wearable device, calculated by the mobile device in units of cycles. Degree of match with visual data of traceable motion of wearable device Is determined based, the method comprising the steps, a.

  In another aspect of the present invention, there is provided a method for connecting a mobile device and a wearable device, wherein a sensor in the wearable device senses and measures a traceable operation of the wearable device, and the wearable device includes: Periodically broadcasting sensor data indicative of trackable motion sensed and measured to the mobile device, wherein the mobile device receives sensor data periodically broadcast by at least one wearable device; The mobile device acquiring visual data of a traceable operation of one wearable device within the capture range of the mobile device; and for each wearable device, the mobile device is received from the wearable device in units of cycles. Within the cycle corresponding to the sensor data in each cycle A step of calculating a degree of matching with the acquired visual data; and the mobile device determines a match result between the mobile device and each wearable device based on each match degree, and the matched wearable device and the mobile device are And a step of connecting.

  In another aspect of the present invention, a mobile device that receives trackable motion sensor data periodically broadcast by at least one wearable device, and a receiver module within a capture range of the camera module. The camera module that acquires visual data of the traceable motion of the wearable device and, for each wearable device, the visual data acquired in the cycle corresponding to the sensor data received from the wearable device in each cycle. A match module that calculates a degree of matching with data, and a connection module that determines a match result between the mobile device and each wearable device based on each match degree, and connects the matched wearable device and the mobile device. Provide mobile equipment.

  In another aspect of the present invention, a wearable device that periodically senses and measures a trackable operation of the wearable device, and sensor data indicating the trackable operation sensed and measured periodically. In response to a match between the wireless transceiver that broadcasts to the mobile device and receives the match result between the wearable device and the mobile device from the mobile device, and the wearable device indicated in the match result matches the mobile device A connection means for connecting the wearable device and the mobile device, wherein the match result corresponds to sensor data in each cycle received from the wireless transceiver calculated by the mobile device in units of cycles. Connected based on the degree of matching with the visual data of the traceable motion of the wearable device within And, to provide a wearable device including a.

  According to the wearable device, the mobile device, and the connection method according to the embodiment of the present invention, the match calculation is performed on the sensor data and the visual data of the wearable device that can be traced in a cycle, and the match result is obtained. Based on this, it automatically realizes the connection between the wearable device and the mobile device, and is not limited to the hardware display function of the wearable device, and does not require the user's involvement in the connection process, thus improving the user experience It was.

The features of the present application and the like can be understood more easily from the following description of the embodiments of the present application with reference to the drawings.
A flowchart of a method for connecting to a wearable device used in a mobile device according to an embodiment of the present invention is shown. A flowchart of a method for calculating the degree of matching in units of cycles for sensor data and visual data after processing of each wearable device according to the embodiment of the present application is shown. The flowchart of the method of calculating the degree of match between the sensor data in each cycle and the visual data in the corresponding cycle for each wearable device when the trigger signal is received by the mobile device according to the embodiment of the present invention is shown. It is. It is a figure which receives sensor data from a plurality of wearable devices. A flowchart of an exemplary method for determining a match result between a mobile device and each wearable device is shown. A flowchart of a method for determining a wearable device that matches a mobile device from candidate wearable devices is shown. A flowchart of a method for connecting to a mobile device used in the wearable device according to the embodiment of the present application is shown. It is a figure which shows the sensor data which periodically broadcast the traceable operation | movement of the wearable apparatus which concerns on an Example of this application. A flowchart of a method for connecting to a mobile device used in the wearable device according to the embodiment of the present application is shown. An application scene of a connection method between a wearable device and a mobile device according to an embodiment of the present application is shown. 1 is a block diagram of a mobile device according to an embodiment of the present application. The block diagram of the wearable apparatus which concerns on this-application Example is shown.

  In order for those skilled in the art to better understand the present application, the present application will be described in more detail below in conjunction with the drawings and specific embodiments.

  First, a basic idea of a connection method between a wearable device and a mobile device according to the present application will be briefly described. The present application realizes the connection between the wearable device and the mobile device by the trackable operation of the wearable device, and on the other hand, acquires the sensor data of the trackable operation of the wearable device by the sensor in the wearable device, Visual data of the wearable device's traceable movement is acquired by the camera of the mobile device, and the match result between the wearable device and the mobile device is determined based on the sensor data and the visual data in units of the period. Based on this, the mobile device can be connected to the matched wearable device.

  The traceable operation of the wearable device may be, for example, a swinging operation of the wearable device. When the user swings the wearable device, the inertial sensor in the wearable device can sense and measure the swing motion of the wearable device, and acquires sensor data that displays the swing motion. However, the traceable operation disclosed from the present application is not limited to the swinging motion of the wearable device, but may be another motion that can be detected and measured by a sensor such as a swing or rotation of the wearable device. The mobile device camera disclosed in this application does not necessarily have to have a specific function, such as a binocular camera or a light field camera, and captures the screen of the wearable device that can be tracked, and accordingly, As long as the visual data can be obtained, a camera having the simplest function may be used.

  In actual applications, there can be only one wearable device in the vicinity of a mobile device, and both of these wearable devices can perform a traceable operation so as to connect to the corresponding mobile device. is there. Therefore, the mobile device needs to determine and connect one corresponding wearable device from a plurality of wearable devices that perform traceable operations. This application is not only applied to scenes where one wearable device and one mobile device are connected, but also to scenes where more than one wearable device can be tracked and the mobile device is connected to the corresponding wearable device. Apply.

  FIG. 1 shows a flowchart of a method of connecting to a wearable device that is used in a mobile device according to an embodiment of the present application. Hereinafter, the connection method will be described in detail with reference to FIG.

  As shown in FIG. 1, in step S101, sensor data of a traceable operation periodically broadcast from at least one wearable device is received. As described above, the mobile device can receive the sensor data of the traceable operation broadcast by the at least one wearable device in the vicinity thereof at the period T. For example, the mobile device receives sensor data periodically broadcast to the Bluetooth (registered trademark) channel of the wearable device using a broadcast packet method, and the mobile device is not limited to this, and the mobile device is a Wi-Fi, 3G, or 4G of the wearable device. It is possible to receive sensor data broadcast periodically.

  The sensor data is data representing a traceable operation of the wearable device, and may be original sensor data acquired by a sensor of the wearable device. Alternatively, the sensor data may be data obtained by processing the original sensor data. Specifically, the inventors of the present application have recognized the following. Original sensor data is usually floating-point type data, and the amount of data is very large. Therefore, when transferring original sensor data directly, it imposes a heavy burden on the transmission bandwidth and overloads the sensor data of wearable devices. It is difficult to guarantee real-time transfer of sensor data. On the other hand, for the mobile device, when the sensor data waiting for reception processing is original sensor data, the burden of sensor data processing in charge is heavy. Therefore, data processing is performed on the original sensor data, and sensor data with reduced dimensions can be obtained. To make it easier to understand, an example will be given.

Specifically, in the case of an example in which the sensor in the wearable device is an inertial sensor such as an acceleration sensor, the original acceleration data acquired from the acceleration sensor is three-dimensional data, and the data in each dimension is sampled by each. The wearable device acquired at the points (t = 1, 2, 3,...) Is acceleration data in the x, y, and z directions. In contrast, for example, the original sensor data can be processed into primary data by a matrix calculation method using the following equation.

  Here, Ds is original sensor data, S is sensor data after processing, and a, b, and c are parameters set in advance. Therefore, if the sum is 1 and each parameter is larger than 0, the parameters a, b, and c can be arbitrarily set. For example, parameters a, b, and c can be set to a = 1/3, b = 1/3, and c = 1/3.

  Note that the data processing for the original sensor by the above matrix calculation method is merely an exemplary method. The data processing method of the present application is not limited to this, and a method of holding only one dimension of data such as discarding data of other dimensions can be used so as to reduce the amount of sensor data waiting for broadcast.

  As described above, the sensor data is periodically broadcast by the wearable device, which will be described in detail later.

  In step S102, visual data of a traceable operation of one wearable device within the capture range of the mobile device is acquired.

  As described above, it is possible for a wearable device, not limited to one, to perform an operation that can be tracked at the same time and connect to a corresponding mobile device, but in this step, one wearable device within the capture range of the mobile device. Only get that visual data. For example, a mobile device camera captures a screen of trackable motion for one wearable device within its capture range, and a screen for trackable motion captured using a common algorithm in the field such as OpenCV. It is possible to perform processing and obtain visual data of the wearable device's traceable behavior. I won't make a luxury here.

  In step S103, for each wearable device, the degree of matching between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle is calculated in units of the cycle.

  In this step, for each wearable device, a plurality of match degree results corresponding to each cycle can be obtained. Hereinafter, with reference to FIG. 2, the matching degree calculation process performed for each wearable device in the step will be described.

  As shown in FIG. 2, data processing is performed on the acquired visual data so that each wearable device has the same dimension as the sensor data in step S201.

For example, the wearable device represents visual information such as display position, speed, and acceleration in two dimensions of a plane, with the example that the original visual data acquired by the camera of the mobile device is two-dimensional data. . When it is assumed that the sensor data received in step S101 is primary data, the original visual data can be processed into primary data using a matrix calculation method according to the following equation.

  Here, Dv is the original visual data, V is the visual data after processing, and m and n are preset parameters. Therefore, if the sum is 1 and each parameter is larger than 0, the parameters m and n can be set arbitrarily. For example, the parameters m and n can be set to m = 1/2 and n = 1/2.

  Note that the data processing for the original sensor by the above matrix calculation method is merely an exemplary method. The visual data processing method of the present application is not limited to this, and it is also possible to use a method of holding only data of one dimension such as discarding data of other dimensions so as to be the same as the dimension of sensor data. .

  In step S202, the correlation between the sensor data of each cycle received from the wearable device and the visual data after processing within the corresponding cycle is calculated in units of the cycle.

Specifically, the correlation coefficient can be calculated in the step as follows.

Where S is sensor data, V is visual data, F (S, V) is the correlation coefficient, C _sv is the covariance of S and V, C _ss is the variance of S, and C _vv is V Is the dispersion of. Therefore, C _sv , C _ss and C _vv are obtained by the following equations.

For the sensor data within one period T, the average value Es of the sensor data is defined below.

C_sv、C_ssとC_vvの計算式は以下である。 The average value Ev of visual data is defined below for the visual data in the corresponding period.

The calculation formulas for C _sv , C _ss and C _vv are as follows.

  Based on the above equations (6)-(10), the correlation coefficient F (S, V) between the sensor data of the period and the visual data after processing of the corresponding period can be obtained, and the correlation coefficient is Correlation between the sensor data of the cycle and the visual data after processing within the corresponding cycle can be obtained.

  In this application, the correlation coefficient has been described as an example of calculating the correlation between sensor data and visual data, but in addition, the correlation between sensor data and visual data using other methods such as Euclidean distance and N-norm. It is also possible to calculate sex. The present application is not limited to this.

  In addition, since the sampling frequency of the sensor of the wearable device may be different from the sampling frequency of the camera of the mobile device, there is a possibility that the sensor data acquired in each period and the length of the visual data in the corresponding period may be different. is there. In this case, it is possible to select that sensor data within a certain period and visual data acquired within the corresponding period are aligned by a method such as interpolation, and sensor data aligned using the above method. And the correlation of visual data.

In step S203, a matching degree corresponding to each correlation is determined. For example, as described below, the absolute value of the correlation can be set to the matching degree R between the sensor data of a certain period and the visual data of the corresponding period.

  Note that the method of obtaining the degree of matching by the method of obtaining the absolute value of the correlation calculated in the present application is merely an exemplary method. For those skilled in the art, the corresponding matching degree can be determined by the correlation calculated in step S202 using other methods such as weighting.

  Although the above has described the basic processing in step S103, in this step, it is possible to select only the sensor data in a part of the period to calculate the degree of matching with the visual data in the corresponding period. Specifically, as described above, in an actual application, there may be more than one wearable device in the vicinity of the mobile device, and both of these wearable devices transfer the sensor data to the mobile device, and the mobile device Also, the degree of matching between the sensor data received for each wearable device in each cycle and the visual data in the corresponding cycle is calculated. Further, the matching result of all wearable devices is acquired, and the matching situation of each wearable device is comprehensively analyzed to determine a matching wearable device. For this reason, if there is a wearable device for which the match degree is being calculated, the mobile device cannot obtain the result of the match degree of the wearable device that has not been calculated, and cannot perform a comprehensive analysis so as to determine a matchable wearable device. On the other hand, for each wearable device, if all the degree of matching between the sensor data transferred from the wearable device and the visual data of the corresponding cycle is calculated, the process of calculating the degree of match of each wearable device Becomes longer, and it is possible that it is difficult to obtain a match degree result. In practice, the result of the degree of match in any number of cycles within a certain period can sufficiently reflect the match status between the wearable device and the mobile device. Calculation time can be wasted.

  In consideration of the above case, the selectable method can calculate the degree of match for the sensor data and the corresponding visual data only during the effective period. Specifically, the trigger signal is also broadcast by the selectable method before the sensor data of the operation that can be traced to the mobile device periodically by each wearable device. The trigger signal means that the wearable device starts to broadcast sensor data of an operation that can be periodically tracked, and the effective trigger period of the mobile device depends on the time when the trigger signal is received by the mobile device in step S103. And the effective calculation period of each wearable device can be determined. Hereinafter, a description will be given with reference to FIGS.

  In FIG. 3, a method for calculating the degree of match between sensor data in each cycle and visual data in the corresponding cycle for each wearable device when the trigger signal is received by the mobile device according to the embodiment of the present invention. The flowchart is shown.

  As shown in FIG. 3, for each wearable device, in step S301, it is determined whether the time of the trigger signal received from the wearable device is within the valid trigger period. The valid trigger period is from the first trigger signal received by the mobile device from each wearable device to a predetermined maximum match time.

FIG. 4 is a diagram for receiving sensor data from a plurality of wearable devices. As shown in FIG. 4, if the time Ts1 when the trigger signal is received by the wearable device 1 is the time when the first trigger signal is received, the mobile device is valid from the time until the predetermined maximum match time _Tmax. Trigger period. As shown in FIG. 4, the mobile device receives sensor data broadcast from three nearby wearable devices, among which the trigger signal time Ts1 = 0 received from the wearable device 1 is clearly within the effective trigger period. The trigger signal time Ts2 received from the wearable device 2 is within the valid trigger period, and the trigger signal time Ts3 received from the wearable device 3 is not within the valid trigger period.

For the above selection of the maximum match time T _max , those _{skilled in} the art can determine the actual application situation and experience values, but the present application does not limit here.

  Returning to FIG. 3, in step S302, if the time of the trigger signal received from the wearable device is within the effective trigger period, the sensor data of each period received from the wearable device is determined within the effective calculation period. . The effective calculation period is from a trigger signal received by the mobile device from the wearable device to a predetermined maximum match time.

Specifically, taking the case shown in FIG. 4 as an example, if the effective calculation period for the wearable device 1 is [0, T _max ], it is received from the wearable device 1 within the effective calculation period. The sensor data for each cycle is determined. As shown in FIG. 4, sensor data determined for the wearable device 1 is represented by a solid line strip corresponding to the wearable device 1, and the period corresponding to the sensor data is T _valid1 and smaller than T _max . In other words, all the sensor data of each period received from the wearable device 1 are within the valid calculation period. The effective calculation period for the wearable device 2 is [T _s2 , T _s2 + T _max ], and sensor data of each period received from the wearable device 2 is determined within the effective calculation period. As shown in FIG. 4, the sensor data determined for the wearable device 2 is represented by a solid line strip corresponding to the wearable device 2, and the period corresponding to the sensor data is T _valid2 and equal to T _max . In other words, the sensor data of each cycle received from the wearable device 2 has exceeded its valid calculation period (the excess portion is indicated by a dotted frame strip corresponding to the wearable device 2 in FIG. 4), and thus received from the wearable device 2. The sensor data corresponding to the period T _valid2 can be determined within the valid calculation period in the sensor data of each cycle.

  Returning to FIG. 3, in step S303, the correlation between the sensor data received in the effective calculation period and the processed visual data in the corresponding period is calculated. Specifically, for wearable devices 1 and 2, the correlation between the sensor data in each cycle within the effective calculation period and the processed visual data within the corresponding cycle can be calculated. Since the method for calculating the correlation can use the method described in step S202 above, no luxury is given here.

Note that if the amount of sensor data received from the wearable device and used for calculating the degree of match is too small, the determination of the match result may be inaccurate. The following can be selected for this situation: In step S302, it is further determined whether or not the time length corresponding to the sensor data determined for each wearable device is smaller than the minimum match time _Tmin . When the corresponding time length is smaller than the minimum match time T _min , that is, when the time for calculating the matching degree for the wearable device is smaller than the minimum match time T _min , the match result obtained by the calculation is invalid. To decide. For selection of the minimum match time T _min described above, a person _{skilled in} the art can determine the actual application situation and experience values.

  One of the possible options is as follows. For each wearable device, based on the determination of the effective calculation period, the mobile device receives the sensor data broadcast by the wearable device only during the effective calculation period, and the wearable device broadcasts the wearable device outside the effective calculation period. Sensor data (as shown in FIG. 6, it is not necessary to receive the partial data of the dotted frame strip of the wearable device 2 and the entire data of the wearable device 3) is not received. Therefore, the bandwidth for continuously receiving sensor data and the burden of consumption can be further reduced.

  Returning to FIG. 1, in step S103, a plurality of match results corresponding to each period are obtained by calculating all of the wearable devices. In order to facilitate understanding, the degree of matching obtained by a plurality of calculations of each wearable device will be exemplified below.

Calculate the degree of matching between sensor data within N _Q periods and visual data within the corresponding period for each of Q devices, and obtain N _Q matching results. I hypothesize. Therefore, the calculation result of the degree of match obtained by calculating each wearable device can be shown below.

Wearable device 1 has N1 matching degrees: R _{1 (1)} , R _{1 (2)} , ... R _{1 (N1)} ,
The wearable device 2 has N2 matching degrees: R _{2 (1)} , R _{2 (2)} , ... R _{2 (N2)} ,
......
The N _Q matching degrees of wearable device Q are: R _{Q (1)} , R _{Q (2)} ,... R _{Q (NQ)} .

Here, the number in parentheses can be displayed as the number of the calculation result of the match degree of each wearable device, but the match time result having the same number of different wearable devices does not stipulate that the corresponding time is the same, It is not defined that the number of matching degree results calculated by the wearable device (for example, N ₁ , N ₂ ,... N _Q ) is the same.

  In step S104, a match result between the mobile device and each wearable device is determined based on each match degree, and the matched wearable device is connected. Hereinafter, an exemplary method for determining a match result between a mobile device and each wearable device will be described with reference to FIG.

As shown in FIG. 5, for each wearable device, in step S501, the number of matching degrees exceeding the matching degree threshold is determined among the matching degrees corresponding thereto. Specifically, taking the result of the match degree of wearable device Q calculated in step S103 above as an example, the N _Q match degree results R _{Q (1)} , R _{Q (2)} , ... R _{Q (NQ )} , The number N _rQ exceeding the matching degree threshold R _h is determined. Similarly, the number N _{r1 of} matching degrees exceeding the matching degree threshold R _h within each matching degree of other wearable devices
, N _r2 , ...... can be determined. Regarding the determination of the match degree threshold R _h , those skilled in the art can determine by an empirical value or a statistical method. I won't make a luxury here.

In step S502, the number of matching degrees that does not exceed the matching degree threshold value among the corresponding matching degrees is determined. Specifically, N _Q number of match results R _{Q (1)} , R _{Q (2)} ,..., R _{Q (NQ)} of wearable device Q include a number N _nQ that does not exceed the match level threshold R _h. decide. Similarly, the number N _{n1 of} matching degrees that does not exceed the matching degree threshold R _h within each matching degree of other wearable devices
, N _n2 , ...... can be determined.

In step S503, when the number of matching degrees exceeding the matching degree threshold is greater than the number of matching degrees not exceeding the matching degree threshold, it is possible to determine that the wearable device is a candidate wearable device that matches the mobile device. . Specifically, N _rQ is greater than N _nQ, determines that the wearable device Q is a candidate wearable device that matches the mobile equipment. Similarly, it can be determined whether other wearable devices are candidate wearable devices that match the mobile device.

  The above can determine whether the wearable device is a candidate wearable device that matches the mobile device by directly comparing the number of match degrees exceeding the match degree threshold and the number of match degrees not exceeding the match degree threshold, Not limited to this. Furthermore, it is also possible to determine whether the sensor data and the visual data match by a method such as whether the difference between the number exceeding the matching threshold and the number not exceeding the matching threshold exceeds the difference threshold. . There is no limit here.

  Based on the candidate wearable device that matches the mobile device determined above, a wearable device that matches the mobile device can be further determined among the candidate wearable devices. Hereinafter, a process for determining a wearable device that matches a mobile device from candidate wearable devices will be described in detail with reference to FIG.

  As shown in FIG. 6, in step S601, the number q of candidate wearable devices determined in step S503 is determined. If the number of candidate wearable devices q among the Q wearable devices is smaller than 1, the process continues to S602. If the number of candidate wearable devices q is equal to 1 or more, the process continues until S603. If the number of candidate wearable devices q is greater than 1, the process continues to S604.

  In step S602, a wearable device that matches the mobile device is determined from among Q wearable devices. In step S603, it is determined that the candidate wearable device is a wearable device that matches the mobile device. In step S604, the degree of matching between each candidate wearable device and the mobile device is calculated, and the candidate wearable device having the largest degree of matching is determined as a wearable device matching the mobile device.

  Specifically, in step S604, for example, the average value of the degree of matching of each candidate wearable device is set to the matching level, and the candidate wearable device having the maximum matching level is matched with the mobile device. It can be determined as a wearable device. However, the mobile device is not limited to this, based on a method such as a ratio of the number of matching degrees exceeding the matching degree threshold to the number of matching degrees not exceeding the matching degree threshold within each matching degree of each candidate wearable device. It is also possible to determine a wearable device that matches with. There is no limit here.

  As described above, the method for connecting to the wearable device for the mobile device according to the embodiment of the present application has been described. However, by using a method of calculating a plurality of matching degrees in units of cycles, sensor data and visual data of each cycle are extremely used. To obtain a match result between a wearable device and a mobile device by obtaining a plurality of match degree calculation results calculated in units of periods, and further combining the calculation results. Can do. Compared to obtaining only one match degree calculation result by the method of accumulating the match degree without dividing the cycle, the sensor data and the corresponding visual data change trend are averaged by the cumulative calculation, and the sensor data It can be avoided that the change tendency of the period division of visual data is not reflected well. In addition, the above-described method can automatically realize the connection between the wearable device and the mobile device, and does not require user involvement in the connection process between the wearable device and the mobile device, thereby improving the user experience.

  The other side of the present application provides a method for connecting a wearable device and a mobile device, and the connection method will be described in detail in conjunction with FIG. 7 below. FIG. 7 shows a flowchart of a method of connecting to a mobile device used in the wearable device according to the embodiment of the present application.

  As shown in FIG. 7, in step S701, a sensor in the wearable device senses and measures a traceable operation of the wearable device. For example, when the user swings the wearable device, an acceleration sensor in the wearable device can detect and measure the swing motion of the wearable device. Optionally, other types of sensors such as gyroscopes can sense and measure other trackable movements such as swing and rotation of the wearable device.

  In step S702, the wearable device broadcasts and displays the sensor data of the traceable motion periodically sensed and measured by the mobile device. Hereinafter, with reference to FIG. 8, an illustration of sensor data that periodically broadcasts a traceable operation of the wearable device will be described.

As shown in FIG. 8, the wearable device broadcasts sensor data with T as a cycle. Selection of the cycle T is a request for a transmission bandwidth of a wireless channel, sensor data at each sampling point (for example, the above formula (2 ) Can be determined based on factors such as the length of s _t ). For example, when the Bluetooth (registered trademark) broadcast packet is 31 bytes and the length of sensor data at each sampling point is 2 bytes, the value of the period T can be determined to be 15. Note that the above-described determination of the period T is only an example, and those skilled in the art will calculate the degree of match in units of subsequent periods so as to satisfy real-time requirements that do not lead to data overstock depending on the actual situation. An appropriate period T can be determined to meet the length requirement.

  As described above, transferring the original sensor data directly places a heavy burden on the transmission bandwidth. Alternatively, the sensor data broadcast in step S702 may be dimension reduction data obtained by performing data processing on the original sensor data of the traceable motion sensed and measured by the sensor. Regarding the method of processing the original sensor data, the method shown in step S101 of FIG. 1 can be referred to, but no luxury is given here.

  Further, as described above, the following problems may exist during actual application. By constantly swinging the wearable device, the user continuously broadcasts the sensor data, but the broadcast of the sensor data continuously occupies the radio channel and causes the power consumption problem of the wearable device. . On the other hand, since the mobile device continuously calculates the match result of the sensor data for the wearable device based on the sensor data broadcast by the wearable device, the above-described mobile device has a very good match degree result. It becomes a problem that can not be.

  Alternatively, in this case, it is possible to determine an example of the effective sensing measurement time of the wearable device according to the time at which the trigger signal is transmitted from the wearable device.

  Specifically, in the selectable example, a trigger signal is sent out before the sensor data of the traceable motion that is sensed and measured by the mobile device periodically in the wearable device is broadcast, and the trigger is transmitted. The signal means that the wearable device starts broadcasting sensor data of an operation that can be tracked periodically. The time from sending out the trigger signal of the wearable device to a predetermined maximum sensing measurement time is set as an effective sensing measurement period, and the sensor data is periodically broadcast to the mobile device within the effective sensing measurement period. In this example, the wearable device can continuously broadcast the sensor data. However, if the effective sensing measurement time is exceeded, the sensor data broadcast is stopped even if the user still shakes the wearable device. The wireless transfer channel occupancy due to data transfer and the power consumption problem of data transfer are solved.

  In step S703, the wearable device and the mobile device are connected based on a match result in which the wearable device instructed by the mobile device matches the mobile device. Therefore, the match result is based on sensor data that the mobile device periodically broadcasts from the wearable device, and sensor data within each cycle calculated based on the cycle and visual recognition of the wearable device within the corresponding cycle can be traced. Determined by the degree of matching with data. For specific processing related to the calculation of the match result, the description of steps S103 and S104 in the connection method for the mobile device and the wearable device can be referred to, and no luxury is given here. In step S703, when the match result received from the mobile device indicates that the wearable device matches the mobile device, the wearable device and the mobile device can be connected.

  The above describes the method for connecting to a mobile device for the wearable device according to the embodiment of the present invention. However, by using a method of calculating a plurality of matching degrees in units of cycles, sensor data and visual data of each cycle are extremely used. To obtain a match result between a wearable device and a mobile device by obtaining a plurality of match degree calculation results calculated in units of periods, and further combining the calculation results. Can do. In addition, the wearable device and the mobile device can be automatically connected by this method, so the wearable device does not require a hardware display function and does not require any user involvement in the connection process between the wearable device and the mobile device. , Improved user experience.

  The other side of the present application provides a method for connecting a wearable device and a mobile device, and the connection method will be described in detail with reference to FIGS.

  FIG. 9 shows a flowchart of a connection method between the wearable device and the mobile device according to the present embodiment.

  As shown in FIG. 9, in step S901, a sensor in the wearable device senses and measures a traceable operation of the wearable device. In step S902, the wearable device broadcasts and displays sensor data of a traceable operation periodically sensed and measured by the mobile device. In step S903, the mobile device receives sensor data periodically broadcast from at least one wearable device. In step S904, the mobile device acquires visual data of a traceable operation of one wearable device within the capture range. In step S905, for each wearable device, the mobile device calculates the degree of match between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle in units of cycles. To do. In step S906, the mobile device determines a match result between the mobile device and each wearable device based on each match degree, and connects to the matched wearable device.

  For the specific processing in steps S901 to S906, the description of steps S101 to S104 in FIG. 1 and steps S701 to S703 in FIG. 7 can be referred to.

  FIG. 10 shows an application scene of the connection method between the wearable device and the mobile device according to the embodiment of the present application.

  For convenience of explanation, FIG. 10 shows a scene in which one wearable device and a mobile device are connected. However, in this scene, not only one wearable device can be tracked at the same time, and each of them can be periodically used. It is possible to broadcast sensor data. As shown in FIG. 10, for example, when a user swings the wearable device, an operation that can be tracked by the wearable device is generated, and sensor data of the trackable operation that is sensed and measured by a sensor in the wearable device is periodically generated. Broadcast display. The mobile device receives at least one wearable device's periodically broadcast sensor data and obtains visual data of the trackable motion of one wearable device within its capture range. For example, it is possible to capture a screen of a trackable operation of one wearable device within the capture range by a camera of a mobile device, and further obtain visual data of the trackable operation of the wearable device. Then, the mobile device, for each wearable device in at least one wearable device, uses sensor data received from the wearable device and the visual data acquired in the corresponding cycle as a unit. The degree of match is calculated, and the match result between it and each wearable device is determined according to each degree of match (not shown in FIG. 10). Finally, it is possible to connect the mobile device and the matched wearable device based on the match result.

  The above has described the connection method between the wearable device and the mobile device according to the embodiment of the present application, but by using a method of calculating a plurality of matching degrees in units of periods, the sensor data and visual data of each period are extremely reduced. The change tendency in each period can be held, and the calculation results of a plurality of matching degrees calculated in units of cycles can be obtained, and further the matching results between the wearable device and the mobile device can be obtained by combining the calculation results. . In addition, the wearable device and the mobile device can be automatically connected by this method, so the wearable device does not require a hardware display function and does not require any user involvement in the connection process between the wearable device and the mobile device. , Improved user experience.

  A mobile device is provided on the other side of the present application, and the mobile device 1100 will be described in detail with reference to FIG. 11 below.

  FIG. 11 is a block diagram of a mobile device according to the present embodiment. As shown in FIG. 11, the mobile device 1100 includes a reception module U1101, a camera module U1102, a match module U1103, and a connection module U1104. The specific functions and operations of the respective parts are basically the same as those described with reference to FIGS. 1-6, and in order to avoid duplication, only the apparatus will be briefly described below. Description is omitted. As an example of the mobile device, the mobile device 1100 may include a smartphone, a tablet PC, and the like.

  The receiving module U1101 is arranged to receive the sensor data of the trackable operation periodically broadcast of at least one wearable device. For example, the reception module U1101 may be a Bluetooth (registered trademark) reception module, a WiFi reception module, a 3G reception module, or a 4G reception module. The receiving module U1101 can receive sensor data of a traceable operation periodically broadcast by at least one wearable device in the vicinity thereof. For example, if the receiving module U1101 is a Bluetooth (registered trademark) receiving module, the mobile device can receive sensor data periodically broadcast to the Bluetooth (registered trademark) channel of the wearable device in a broadcast packet format. It is.

  The sensor data received by the reception module U1101 is data representing the traceable operation of the wearable device, and may be original sensor data acquired by a sensor of the wearable device. Optionally, the sensor data received by the receiving module U1101 may be data obtained by processing the original sensor data.

  The camera module U1102 is arranged to acquire visual data of a traceable operation of one wearable device within the capture range of the camera module. The camera module U1102 captures a screen of trackable operations of the wearable device within its capture range and obtains visual data of the trackable operation of the wearable device. The camera module U1102 is not necessarily a camera having a specific function such as a binocular camera or a light field camera, and may be a camera having the simplest function.

  The match module U1103 calculates, for each wearable device, the degree of match between the sensor data received from the wearable device and the visual data acquired within the corresponding cycle in units of cycles. The match module U1103 may be a central process unit (CPU) or a calculation unit capable of processing data, and executes the process of step S103 in FIG.

  Specifically, the match module U1103 is arranged for each wearable device so as to obtain a plurality of match degree results corresponding to each cycle. The match module U1103 performs data processing on the acquired visual data so as to have the same dimension as the sensor data, and calculates the degree of matching between the processed sensor data and the visual data. For example, the match module U1103 can calculate the correlation coefficient between the sensor data of each period and the visual data acquired in the corresponding period, and the correlation between the sensor data and the visual data is set, and the matching degree corresponding to each correlation is calculated. decide. In addition, the match module U1103 may be further arranged to calculate the correlation between sensor data and visual data using other methods such as Euclidean distance, N-norm, etc. Optionally, the match module U1103 may be further arranged to calculate the degree of match for the sensor data and the corresponding visual data only during the validity period, and the specific processing will be described with reference to FIGS. Refer to

  The connection module U1104 determines a match result between the mobile device and each wearable device based on each matching degree, and connects to the matched wearable device. For example, the connection module U1104 may be a Bluetooth (registered trademark) connection module, a WiFi connection module, a 3G connection module, or a 4G connection module.

  Specifically, the connection module U1104 determines that the wearable device matches the mobile device based on the number of match degrees exceeding the match degree threshold within each match degree of each wearable device and the number of match degrees not exceeding the match degree threshold. Arranged to determine whether it is a candidate wearable device. The connection module U1104 is further arranged to determine a matched wearable device from the candidate wearable devices and connect to the matched wearable device.

  The above has been described with respect to the mobile device according to the embodiment of the present invention, but by using a method of calculating a plurality of matching degrees in units of periods, the change tendency in each period between sensor data and visual data in each period is extremely increased. The calculation result of a plurality of matching degrees that can be held and calculated in units of periods is obtained, and the plurality of calculation results are collected to obtain a match result between the wearable device and the mobile device. In addition, the method can automatically realize the connection between the wearable device and the mobile device, and does not require the user's involvement in the connection process between the wearable device and the mobile device, thereby improving the user experience.

  On the other side of the present application, a wearable device is provided, and the wearable device 1200 will be described in detail with reference to FIG.

  FIG. 12 is a block diagram of the wearable device according to the embodiment of the present application. As shown in FIG. 12, wearable device 1200 includes a sensor U1201, a wireless transceiver U1202, and a connection unit U1203. The specific functions and operations of the respective parts are basically the same as those described with reference to FIGS. 7-8, and in order to avoid duplication, only the apparatus will be briefly described below. Description is omitted. As an example of the wearable device, the wearable device 1200 further includes a smart bracelet, a smart watch, smart glasses, and the like.

  The sensor U1201 is arranged to sense and measure a traceable operation of the wearable device. For example, the sensor U1201 may be a sensor that senses and measures swinging, swinging, and rotating motions of a wearable device such as an acceleration sensor. For example, when the user swings the wearable device, an acceleration sensor in the wearable device can detect and measure the swing motion of the wearable device. Optionally, the sensor in the wearable device may further be a sensor that senses and measures other trackable movements such as swing, rotation, etc., such as other types of sensors such as a gyroscope.

  The wireless transceiver U1202 periodically broadcasts and displays the sensor data of the trackable operation that is sensed and measured, and receives a match result between the wearable device and the mobile device from the mobile device. For example, the wireless transceiver U1202 may be a Bluetooth (registered trademark) transceiver or a WiFi transceiver. Optionally, the wireless transceiver U1202 is further configured to periodically broadcast to the mobile device dimension reduction data obtained by performing data processing on the original sensor data of the traceable motion sensed and measured by the sensor. Be placed.

  Optionally, the radio transceiver U1202 further dispatches a trigger signal before periodically broadcasting the sensor data to the mobile device, and starts broadcasting the sensor data of the operation that the wearable device can periodically track. Indicates. The wireless transceiver U1202 further broadcasts the sensor data to the mobile device periodically only during the effective sensing measurement period from sending the trigger signal to a predetermined maximum sensing measurement time, instead of continuously broadcasting the sensor data. Placed in.

  The connection unit U1203 connects to the mobile device according to the match between the wearable device and the mobile device indicated in the match result. Therefore, the match result is based on sensor data that the mobile device periodically broadcasts by the wireless transceiver, and sensor data within each cycle calculated based on the cycle and visual recognition of wearable devices within the corresponding cycle. Determined by the degree of matching with data. The connection unit U1203 may be a Bluetooth (registered trademark) connection module, a WiFi connection module, a 3G connection module, or a 4G connection module. For the process of calculating the match result, the description of steps S103 to S104 in FIG. 1 can be referred to, and no luxury is given here.

  Specifically, when the match result received from the mobile device indicates that the wearable device matches the mobile device, the connection unit U1203 connects the wearable device and the mobile device.

  The above has been described with respect to the wearable device according to the embodiment of the present invention. However, by using a method of calculating a plurality of matching degrees in units of periods, the trend of change between sensor data and visual data in each period is extremely suspended. It is possible to obtain calculation results of a plurality of matching degrees calculated in units of cycles, and further to obtain a match result between the wearable device and the mobile device by combining the plurality of calculation results. In addition, the wearable device and the mobile device can be automatically connected by this method, so the wearable device does not require a hardware display function and does not require any user involvement in the connection process between the wearable device and the mobile device. , Improved user experience.

  Although the basic principle of the present application has been described above with specific embodiments, those skilled in the art will appreciate the following. That is, all or any part of the method and apparatus of the present application can be implemented by hardware, firmware, software, or combinations thereof in any computing device (including processors, storage media, etc.) or computing device net.

  For example, in another aspect of the embodiment of the present invention, there is provided a program for causing a computer to execute a method for connecting a mobile device and a wearable device, which is used for the mobile device. Receiving sensor data of trackable motion periodically broadcast by at least one wearable device; and a camera module receiving visual data of trackable motion of one wearable device within the capture range of the mobile device. The step of acquiring and the match module calculates, for each wearable device, the degree of match between the sensor data received from the wearable device and the visual data acquired within the corresponding cycle in units of cycles. A step and a connection module based on each matching degree Determine the match result between the device and the wearable device, provides a program characterized by including a step of connecting matching the wearable device and said mobile device, the.

  According to another aspect of the embodiment of the present invention, there is provided a recording medium recording a program for causing a computer to execute a method for connecting a mobile device and a wearable device, which is used in the mobile device. A receiving module receiving sensor data of trackable motion periodically broadcast by at least one wearable device; and a camera module tracking the wearable device within a capture range of the mobile device. The step of acquiring visual data of the operation and the match module, for each wearable device, with the cycle as a unit, sensor data received from the wearable device and the visual data acquired within the corresponding cycle. The step of calculating the degree of match and the connection module Based, wherein determining the match result between the mobile device and the wearable device, provides a step of connecting the matching wearable device and said mobile device, a recording medium which comprises a.

  According to another aspect of the embodiment of the present invention, there is provided a program for causing a computer to execute a method for connecting a wearable device and a mobile device, which is used for the wearable device, wherein the sensor includes the wearable device. A sensor in the device senses and measures a trackable operation of the wearable device, and a wireless transceiver periodically broadcasts sensor data indicating the trackable operation sensed and measured to the mobile device. And a step of connecting the wearable device and the mobile device based on a match result indicating that the wearable device and the mobile device from the mobile device are matched, wherein the match result is: Received from the wearable device calculated by the mobile device in units of cycles. It is determined based on the matching degree of the visual data of the trackable operation of wearable device in cycle with the sensor data corresponding in each cycle was, provides a program characterized by comprising the steps, a.

  In another aspect of the embodiment of the present invention, there is provided a recording medium on which a program for causing a computer to execute a method for connecting a wearable device and a mobile device, which is used for a wearable device, is recorded. The sensor in the wearable device senses and measures the trackable operation of the wearable device, and the wireless transceiver periodically transmits sensor data indicating the trackable operation sensed and measured. Broadcasting to the mobile device, and connecting means for connecting the wearable device and the mobile device based on a match result indicating that the wearable device and the mobile device from the mobile device match. The match result is the wearer calculated by the mobile device in units of cycles. And a step determined based on a degree of match between sensor data received from each device and the visual data of the trackable operation of the wearable device within the corresponding cycle. Provide media.

  In another aspect of the embodiment of the present invention, there is provided a program for causing a computer to execute a method for connecting a mobile device and a wearable device, wherein the method includes: a sensor in the wearable device; A sensor senses and measures a trackable operation of the wearable device, and a wireless transceiver of the wearable device periodically detects sensor data indicating the trackable operation sensed and measured by the wearable device. Broadcasting to a mobile device; receiving module of the mobile device receiving sensor data periodically broadcast by the mobile device by at least one wearable device; and camera module of the mobile device comprising the mobile device One device is within the capture range of the mobile device. Acquiring visual data of traceable movement of the wearable device, and a match module of the mobile device for each wearable device, the sensor within each cycle received from the wearable device by the mobile device in units of cycles. Calculating the degree of matching between the data and the visual data acquired within the corresponding period, and the connection module of the mobile device matches the mobile device with each wearable device based on the degree of match of the mobile device. Determining a result, and connecting the matched wearable device and the mobile device.

  According to another aspect of the embodiment of the present invention, there is provided a recording medium recording a program for causing a computer to execute a method for connecting a mobile device and a wearable device, wherein the method includes a sensor of the wearable device. A step in which a sensor in the wearable device senses and measures a trackable operation of the wearable device; and a sensor that indicates the trackable operation sensed and measured by the wearable device by the wireless transceiver of the wearable device Periodically broadcasting data to a mobile device; a receiving module of the mobile device receiving sensor data periodically broadcast by the mobile device by at least one wearable device; and a camera of the mobile device A module, wherein the mobile device is the mobile device Acquiring visual data of traceable movements of one wearable device within the capture range, and a match module of the mobile device is received from the wearable device for each wearable device in units of cycles. Calculating the degree of match between the sensor data in each cycle and the visual data acquired in the corresponding cycle, and the connection module of the mobile device is configured so that the mobile device Determining a match result with each wearable device, and connecting the matched wearable device and the mobile device; and providing a recording medium.

  In the apparatus and method of the present application, each member or each step can be disassembled and / or combined again. These disassembly and / or recombination should be considered as equivalent to this application. The steps for executing the series of processes can be executed in the order described, but it is not essential that the steps are executed in the order, and certain steps may be executed in parallel or independently of each other.

  The specific embodiments described above are not limited to the protection scope of the present application. It will be apparent to those skilled in the art that various modifications, combinations, subcombinations and alternatives can be made according to design needs or other factors. Any modifications, equivalent replacements and improvements made within the scope of the technical idea and spirit of the present application should be included in the protection scope of the present application.

Claims (19)

A method for connecting a mobile device and a wearable device used in a mobile device,
Receiving trackable motion sensor data periodically broadcast by at least one wearable device;
Obtaining visual data of traceable movements of one wearable device within a capture range of the mobile device;
For each wearable device, with a period as a unit, calculating the degree of match between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle;
Determining a match result between the mobile device and each wearable device based on each match degree, and connecting the matched wearable device and the mobile device. The sensor data is dimension reduction data obtained by performing data processing on the original sensor data acquired by the wearable device,
For each wearable device, the step of calculating the degree of match between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle in units of the cycle,
Processing the acquired visual data to be the same as the sensor data dimension,
Calculating the correlation between the sensor data of each cycle received from the wearable device and the visual data after processing within the corresponding cycle in units of cycles;
The method of claim 1, comprising determining a corresponding degree of match for each of the correlations. Receiving a trigger signal from the wearable device before receiving sensor data of trackable motion periodically broadcast by the at least one wearable device;
3. The method of claim 2, wherein the trigger signal indicates that the wearable device begins to broadcast sensor data of an operation that can be tracked periodically. Calculating the correlation between the sensor data of each cycle received from the wearable device in units of the cycle and the visual data after processing in the corresponding cycle,
Determining whether a time at which a trigger signal is received from the wearable device is within an effective trigger period, and the effective trigger period is predetermined after the mobile device receives an initial trigger signal from each wearable device. Up to the maximum match time of
If the time when the trigger signal is received from the wearable device is within the effective trigger period, it is determined to receive sensor data of each cycle from the wearable device within the effective calculation period, and the effective calculation period is: From the time when the mobile device receives a trigger signal from the wearable device to the predetermined maximum match time;
Calculating the correlation between the sensor data received within the effective calculation period and the processed visual data within the corresponding period for the sensor data within each period. 3. The method according to 3. The step of determining a match result between the mobile device and each wearable device based on each degree of match, for each wearable device,
Determining the number of match degrees exceeding a match degree threshold among the respective match degrees corresponding to the wearable device;
Determining the number of matching degrees equal to or lower than the matching degree threshold among the matching degrees corresponding to the wearable device;
Determining that the wearable device is a candidate wearable device that matches the mobile device if the number of match levels exceeding the match level threshold is greater than the number of match levels equal to or less than the match level threshold. 5. A method according to any one of claims 1 to 4, characterized in that The step of determining a match result between the mobile device and each wearable device based on each match degree,
If there is only one candidate wearable device, determining that the candidate wearable device is a wearable device that matches the mobile device;
When there are a plurality of candidate wearable devices, the degree of matching between each candidate wearable device and the mobile device is calculated, and the candidate wearable device with the highest degree of matching is determined as a wearable device matching the mobile device; The method of claim 5, further comprising: Calculating the degree of matching between each candidate wearable device and the mobile device,
The method according to claim 6, further comprising: calculating, for each candidate wearable device, an average value of each matching degree corresponding to the candidate wearable device as the matching degree. A method for connecting a wearable device and a mobile device used in a wearable device,
A sensor in the wearable device senses and measures the traceable motion of the wearable device; and
Periodically broadcasting sensor data indicative of trackable motion sensed and measured to a mobile device;
A step of connecting the wearable device and the mobile device based on a match result indicating that the wearable device and the mobile device are matched from the mobile device, wherein the match result has a period determined by the mobile device; Determined based on a degree of matching between sensor data received from the wearable device and the visual data of the wearable device traceable motion in the corresponding cycle, calculated as a unit. A method characterized by comprising.   9. The method according to claim 8, wherein the sensor data is dimension reduction data obtained by performing data processing on original sensor data of a traceable motion sensed and measured by the sensor. . Transmitting a trigger signal prior to periodically broadcasting sensor data indicative of trackable motion sensed and measured to the mobile device;
The trigger signal indicates that the wearable device starts to broadcast sensor data of an operation that can be tracked periodically,
Periodically broadcasting sensor data indicative of trackable motion sensed and measured to a mobile device includes:
The method according to claim 8 or 9, further comprising: periodically broadcasting the sensor data to a mobile device between a transmission time of the trigger signal and a predetermined maximum sensing measurement time. A method of connecting a mobile device and a wearable device,
A sensor in the wearable device senses and measures the traceable motion of the wearable device; and
Periodically broadcasting sensor data to the mobile device indicating the traceable motion sensed and measured by the wearable device;
The mobile device receives sensor data periodically broadcast by at least one wearable device;
The mobile device obtaining visual data of a trackable operation of one wearable device within a capture range of the mobile device;
For each wearable device, the mobile device calculates the degree of match between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle in units of cycles;
The mobile device determining a match result between the mobile device and each wearable device based on each match degree, and connecting the matched wearable device and the mobile device. Mobile equipment,
A receiving module for receiving sensory data of trackable activity periodically broadcast by at least one wearable device;
A camera module for acquiring visual data of trackable motion of one wearable device within the capture range of the camera module;
For each wearable device, with a period as a unit, a match module that calculates the degree of match between the sensor data received from each wearable device and the visual data acquired within the corresponding period,
A mobile device comprising: a connection module that determines a match result between the mobile device and each wearable device based on each matching degree, and connects the matched wearable device and the mobile device. A wearable device,
A sensor for sensing and measuring the traceable movement of the wearable device;
A wireless transceiver that periodically broadcasts sensor data indicating a trackable operation sensed and measured to a mobile device, and receives a match result between the wearable device and the mobile device from the mobile device;
Connection means for connecting the wearable device and the mobile device in response to a match between the wearable device indicated in the match result and the mobile device, wherein the match result is cycled by the mobile device. A connection means that is determined based on a degree of match between sensor data received from the wireless transceiver, calculated as a unit, and visual data of a traceable operation of the wearable device in the corresponding period; , Comprising a wearable device. A program for causing a computer to execute a method of connecting a mobile device and a wearable device used in a mobile device, the method comprising:
Receiving a trackable motion sensor data periodically broadcast by at least one wearable device;
A camera module obtaining visual data of a trackable movement of one wearable device within a capture range of the mobile device;
The match module calculates, for each wearable device, the degree of match between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle in units of the cycle;
The connection module includes a step of determining a match result between the mobile device and each wearable device based on each match degree, and connecting the matched wearable device and the mobile device. A recording medium recording a program for causing a computer to execute a method of connecting a mobile device and a wearable device used in a mobile device, the method comprising:
Receiving a trackable motion sensor data periodically broadcast by at least one wearable device;
A camera module obtaining visual data of a trackable movement of one wearable device within a capture range of the mobile device;
The match module calculates, for each wearable device, the degree of match between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle in units of the cycle;
The connection module includes a step of determining a match result between the mobile device and each wearable device based on each matching degree, and connecting the matched wearable device and the mobile device. A program for causing a computer to execute a method of connecting a wearable device and a mobile device used in a wearable device, the method comprising:
A sensor sensing and measuring a trackable movement of the wearable device by a sensor in the wearable device;
The wireless transceiver periodically broadcasts sensor data indicating sensed and measured tracking activity to the mobile device;
A connection means is a step of connecting the wearable device and the mobile device based on a match result indicating that the wearable device and the mobile device are matched from the mobile device, wherein the match result is the mobile device Determined based on the degree of match between sensor data received from the wearable device in each cycle and visual data of the trackable operation of the wearable device in the corresponding cycle, calculated by the device in units of cycles, A program comprising the steps. A recording medium recording a program for causing a computer to execute a method for connecting a wearable device and a mobile device used in a wearable device, the method comprising:
A sensor sensing and measuring a trackable movement of the wearable device by a sensor in the wearable device;
The wireless transceiver periodically broadcasts sensor data indicating sensed and measured tracking activity to the mobile device;
A connection means is a step of connecting the wearable device and the mobile device based on a match result indicating that the wearable device and the mobile device are matched from the mobile device, wherein the match result is the mobile device Determined based on the degree of match between sensor data received from the wearable device in each cycle and visual data of the trackable operation of the wearable device in the corresponding cycle, calculated by the device in units of cycles, A recording medium comprising the steps. A program for causing a computer to execute a method for connecting a mobile device and a wearable device, the method comprising:
A sensor of the wearable device senses and measures a trackable operation of the wearable device by a sensor in the wearable device; and
The wireless transceiver of the wearable device periodically broadcasts sensor data indicating a traceable operation sensed and measured by the wearable device to a mobile device;
The mobile device receiving module receives sensor data periodically broadcast by the mobile device by at least one wearable device;
The camera module of the mobile device obtaining visual data of the trackable movement of one wearable device within the capture range of the mobile device;
The matching module of the mobile device, for each wearable device, the degree of match between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle for each wearable device in units of the cycle A step of calculating
The connection module of the mobile device includes the step of the mobile device determining a match result between the mobile device and each wearable device based on each matching degree, and connecting the matched wearable device and the mobile device. A program characterized by that. A recording medium recording a program for causing a computer to execute a method of connecting a mobile device and a wearable device, the method comprising:
A sensor of the wearable device senses and measures a trackable operation of the wearable device by a sensor in the wearable device; and
The wireless transceiver of the wearable device periodically broadcasts sensor data indicating a traceable operation sensed and measured by the wearable device to a mobile device;
The mobile device receiving module receives sensor data periodically broadcast by the mobile device by at least one wearable device;
The camera module of the mobile device obtaining visual data of the trackable movement of one wearable device within the capture range of the mobile device;
The matching module of the mobile device, for each wearable device, the degree of match between the sensor data received from the wearable device and the visual data acquired in the corresponding cycle for each wearable device in units of the cycle A step of calculating
The connection module of the mobile device includes the step of the mobile device determining a match result between the mobile device and each wearable device based on each matching degree, and connecting the matched wearable device and the mobile device. A recording medium characterized by the above.

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