CN109101101B - Wearable device control method and device, storage medium and wearable device - Google Patents
Wearable device control method and device, storage medium and wearable device Download PDFInfo
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- CN109101101B CN109101101B CN201811000762.6A CN201811000762A CN109101101B CN 109101101 B CN109101101 B CN 109101101B CN 201811000762 A CN201811000762 A CN 201811000762A CN 109101101 B CN109101101 B CN 109101101B
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- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
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- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
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Abstract
The embodiment of the application discloses a control method and device of wearable equipment, a storage medium and the wearable equipment. The control method of the wearable device comprises the following steps: when a current control instruction for the wearable device is detected, searching whether the current control instruction exists in a prestored control instruction record list; when the current control instruction exists, acquiring a target control instruction association sequence from the control instruction record list; the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction; and controlling the wearable equipment based on the target control instruction association sequence. By adopting the technical scheme, the embodiment of the application can effectively reduce the interaction between the user and the wearable device, automatically controls the wearable device, can effectively reduce the power consumption of the wearable device, and further improves the endurance time of the wearable device.
Description
Technical Field
The embodiment of the application relates to the technical field of wearable equipment, in particular to a control method and device of the wearable equipment, a storage medium and the wearable equipment.
Background
With the progress of society and the development of science and technology, the applied fields of wearable equipment are more and more, and the wearable equipment is more and more popular with users, and brings great convenience to the life and work of the users. However, in the related art, the wearable device has large power consumption, which seriously affects the endurance time of the wearable device.
Disclosure of Invention
The embodiment of the application provides a control method and device for wearable equipment, a storage medium and the wearable equipment, so that the power consumption of the wearable equipment can be effectively reduced, and the endurance time of the wearable equipment is prolonged.
In a first aspect, an embodiment of the present application provides a method for controlling a wearable device, including:
when a current control instruction for the wearable device is detected, searching whether the current control instruction exists in a prestored control instruction record list;
when the current control instruction exists, acquiring a target control instruction association sequence from the control instruction record list; the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction;
and controlling the wearable equipment based on the target control instruction association sequence.
In a second aspect, an embodiment of the present application provides a control device for a wearable device, including:
the control instruction searching module is used for searching whether the current control instruction exists in a prestored control instruction recording list when the current control instruction of the wearable device is detected;
the association sequence acquisition module is used for acquiring a target control instruction association sequence from the control instruction record list when the current control instruction exists; the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction;
and the wearable device control module is used for controlling the wearable device based on the target control instruction association sequence.
In a third aspect, embodiments of the present application further provide a storage medium containing wearable device executable instructions, which when executed by a wearable device processor, are configured to perform the method for controlling a wearable device according to the first aspect of the embodiments of the present application.
In a fourth aspect, an embodiment of the present application further provides a wearable device, including: the wearable device comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the control method of the wearable device according to the first aspect of the embodiment of the application.
According to the control scheme of the wearable device, when a current control instruction of the wearable device is detected, whether the current control instruction exists is searched in a prestored control instruction record list, and when the current control instruction exists, a target control instruction association sequence is obtained from the control instruction record list, wherein the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction, and the wearable device is controlled based on the target control instruction association sequence. By adopting the technical scheme, the interaction between the user and the wearable device can be effectively reduced, the wearable device is automatically controlled, the power consumption of the wearable device can be effectively reduced, and the endurance time of the wearable device is further improved.
Drawings
Fig. 1 is a schematic flowchart of a control method of a wearable device according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of another control method for a wearable device according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of a control method of another wearable device according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of a control method of a wearable device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a control device of a wearable device according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a wearable device according to an embodiment of the present disclosure;
fig. 7 is a schematic physical diagram of a wearable device provided in an embodiment of the present application.
Detailed Description
The technical scheme of the application is further explained by the specific implementation mode in combination with the attached drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some of the structures related to the present application are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Fig. 1 is a flowchart of a method for controlling a wearable device according to an embodiment of the present disclosure, where the method may be performed by a control apparatus of the wearable device, where the apparatus may be implemented by software and/or hardware, and may be generally integrated in the wearable device. As shown in fig. 1, the method includes:
For example, the wearable device in the embodiment of the present application may include smart devices such as smart glasses, a smart helmet, a smart band, and a smart ring. An operating system is loaded in the wearable device.
In the embodiment of the application, whether the wearable device receives a control instruction input by a user is monitored in real time, and when the control instruction input by the user is monitored, the current control instruction of the wearable device is detected. The current control instruction may include a voice control instruction, a control instruction of a user to a button on the wearable device, a control instruction generated when a sensor on the wearable device detects that sensing data of the user meets a preset condition, and the like. The embodiment of the present application does not specifically limit the type and the expression form of the current control instruction. A control instruction record list is stored in the wearable device, wherein the control instruction record list can be understood as a record list generated based on a control operation of the wearable device by a user before a current control instruction is detected. It is understood that the control instruction which the user has operated for the wearable device control is contained in the pre-stored control instruction record list. Illustratively, when a user needs to make the wearable device display a certain function, continuous interaction between the user and the wearable device is needed, and the wearable device is controlled step by step, that is, a corresponding control instruction is input step by step into the wearable device. Therefore, optionally, the control instruction record list may include a time sequence association sequence between control instructions of the wearable device by the user, that is, a sequential control sequence between a plurality of control instructions. Of course, a single control command may be included in the control command recording list.
In the embodiment of the application, when a current control instruction for the wearable device is detected, whether the current control instruction exists is searched in a prestored control instruction record list, that is, whether a control instruction identical to the current control instruction exists in the control instruction record list is judged.
And 102, when the current control instruction exists, acquiring a target control instruction association sequence from the control instruction record list.
Wherein the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction.
In the embodiment of the application, when it is determined that the current control instruction exists in a prestored control instruction record list, a target control instruction association sequence is obtained from the control instruction record list, wherein the target control instruction association sequence includes a control instruction sequence taking the current control instruction as a starting instruction. Illustratively, the control instruction record list includes a control instruction association sequence: a-B-C-D-E, it can be understood that before detecting a current control instruction for the wearable device, in order to implement a certain function by the wearable device, a user needs to continuously interact with the wearable device, so that the user sequentially inputs the control instruction a, the control instruction B, the control instruction C, the control instruction D, and the control instruction E for the wearable device. Based on the above-mentioned series of control operations, a control instruction association sequence is recorded in the control instruction recording list: A-B-C-D-E. For example, when the current control instruction of the wearable device is detected to be the control instruction C, the control instruction sequence C-D-E is taken as a target control instruction association sequence.
And 103, controlling the wearable equipment based on the target control instruction association sequence.
In the embodiment of the application, the wearable device is controlled based on the target control instruction association sequence, that is, the wearable device is controlled and operated according to the sequence of the control instructions included in the target control instruction association sequence. For example, if the target control instruction association sequence is C-D-E, the wearable device is controlled based on the control instruction C, and after the control operation corresponding to the control instruction C is completed, the wearable device automatically completes the corresponding control operation based on the control instruction D, and after the control operation corresponding to the control instruction D is completed, the wearable device automatically completes the corresponding control operation based on the control instruction E. It can be understood that when the current control instruction C for the wearable device is detected and the control operation corresponding to the control instruction C is executed, the wearable device does not need to prompt the user to continue inputting the control instruction D in an interactive manner, but directly completes the control operation corresponding to the control instruction D; similarly, after the control operation corresponding to the control instruction D is executed, the wearable device does not need to prompt the user to continue inputting the control instruction E in an interactive manner, but directly completes the control operation corresponding to the control instruction E.
Optionally, when the current control instruction does not exist in the prestored control instruction record list, the wearable device is controlled directly based on the current control instruction, and subsequent control of the wearable device is realized based on interaction between the user and the wearable device as required.
According to the control method of the wearable device, when a current control instruction of the wearable device is detected, whether the current control instruction exists is searched in a prestored control instruction record list, and when the current control instruction exists, a target control instruction association sequence is obtained from the control instruction record list, wherein the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction, and the wearable device is controlled based on the target control instruction association sequence. By adopting the technical scheme, the interaction between the user and the wearable device can be effectively reduced, the wearable device is automatically controlled, the power consumption of the wearable device can be effectively reduced, and the endurance time of the wearable device is further improved.
Fig. 2 is a schematic flow chart of the control method of the wearable device provided in the embodiment of the present application, and optionally, the obtaining a target control instruction association sequence from the control instruction record list includes: when the control instruction recording list comprises at least two control instruction association sequences, acquiring current state characteristic information of the wearable device; wherein the at least two control instruction association sequences comprise the current control instruction; inputting the current state characteristic information and the current control instruction into a preset control sequence determination model; and determining a target control instruction association sequence from the at least two control instruction association sequences according to the output result of the control sequence determination model. Optionally, after determining the target control instruction association sequence according to the output result of the control sequence determination model, the method further includes: receiving feedback information whether the target control instruction association sequence is correct or not from a user; and sending the feedback information to the control sequence determination model for training. As shown in fig. 2, the method includes:
And 203, when the control instruction record list comprises at least two control instruction association sequences, acquiring current state feature information of the wearable device.
Wherein the at least two control instruction association sequences include the current control instruction.
In the embodiment of the application, when the current control instruction exists in a prestored control instruction record list, and the control instruction record list comprises at least two control instruction association sequences containing the current control instruction, the current state feature information of the wearable device is acquired, so that a target control instruction association sequence can be determined according to the current state feature information in the subsequent process. Illustratively, the pre-stored control instruction record list includes a control instruction sequence: A-B-C-D-E, B-E-D-F-G, A-F-H-B, and D-C-A, and the current control instruction is control instruction C. Obviously, the control instruction C exists in the control instruction record list, and the control instruction association sequence containing the control instruction C comprises two control instruction association sequences, namely A-B-C-D-E and D-C-A. At this time, it cannot be determined which control instruction association sequence includes the target control instruction association sequence to automatically control the wearable device. Optionally, the current state feature information of the wearable device may be acquired, and the target control instruction association sequence is accurately determined in combination with the current state feature information, so as to accurately control the wearable device.
Optionally, the current state feature information includes at least one of: time information, date category, state of charge, battery power information, bluetooth connection status, microphone operating status, camera operating status, the motion state and the positional information of wearable device.
The wearable device is used as intelligent glasses for explanation. The intelligent glasses comprise a glasses frame body and lenses. The eyeglass frame body comprises eyeglass legs and an eyeglass frame. Optionally, the inner sides of the glasses legs can be provided with breathing lamps, the breathing lamps can be LED lamps, and the breathing lamps can flash according to the heartbeat frequency of the intelligent glasses wearer. The glasses legs are also provided with a touch area and a bone conduction area. The touch control area is arranged on the outer side of the glasses legs, and a touch detection module is arranged in the touch control area and used for detecting touch operation of a user. For example, a touch sensor module is used to detect a touch operation by a user, and the touch sensor module is at a low level in an initial state and at a high level when there is a touch operation. In a scene that a user wears smart glasses, the side of the temple close to the face is defined as the inner side, and the side opposite to the inner side and far from the face is defined as the outer side. Bone conduction regions are provided on the temples near the ears. Wherein, a bone conduction earphone or a bone conduction sensor is arranged in the bone conduction area. Set up heart rate sensor in the position that the mirror leg is close to face temple for acquire the heart rate information of wearing intelligent glasses user. Set up intelligent microphone on the picture frame, can the current ambient noise size of locating of intelligent recognition, can be based on the performance of ambient noise automatically regulated microphone. The mirror frame is also provided with a distance sensor, a gyroscope and the like. In addition, the glasses frame and the nose support are also provided with an Electrooculogram (EOG) sensor for acquiring the eye state of the user. In addition, still be provided with the micro-processing district on the mirror leg, microprocessor sets up in the micro-processing district, is connected with devices such as above-mentioned touch detection module, bone conduction earphone, heart rate sensor, intelligent microphone, distance sensor, gyroscope, electrooculogram sensor electricity respectively for receive the data of treating, carry out data operation, data processing and output control command to corresponding device. It should be noted that the smart glasses may download the multimedia resource from the cloud for playing through the internet, and may also acquire the multimedia resource from the terminal device by establishing a communication connection with the terminal device, which is not limited in the embodiments of the present application.
The time information may be understood as a current time period of the smart glasses, and for example, the time information may include: morning peak, noon, evening peak, work hours, and rest hours. Of course, the time information may be equally divided into 0:00-24:00 hours 24 hours a day, for example, into 6 time periods, and each time period is 4 hours. The time information may be described in the form of a time stamp. The date categories may include: the date category may be described in the form of a time stamp. The charging status may include whether the smart glasses are in a charging mode, wherein when the smart glasses are in the charging mode, the charging mode type may also be included. The battery power information can be understood as the residual power of the current intelligent glasses. The motion state may include the current speed and/or acceleration of the smart glasses, which may be calculated from sensory data collected by motion sensors in the smart glasses. The position information can be understood as the specific position where the intelligent glasses are currently located, and can include province, city, district and county, and can even be specific to street name, building name and the like, and can be determined through sensing data acquired by the position sensor in the intelligent glasses.
And step 204, inputting the current state characteristic information and the current control command into a preset control sequence determination model.
The control sequence determination model comprises a network model generated based on the control rule of the wearable device by the control instruction of the wearable device when corresponding to the historical state characteristic information. The control sequence determination model may be understood as a learning model that quickly determines the target control instruction association sequence after inputting the current state feature information and the current control instruction. The control sequence determination model may be a statistical model or a machine learning model, or a hybrid model of the two, or the like. The adopted algorithm may also include RNN, LSTM network, threshold cycle unit, simple cycle unit, automatic encoder, decision tree, random forest, feature mean classification, classification regression tree, hidden markov, KNN algorithm, logistic regression model, bayesian model, gaussian model, KL divergence, and the like, which is not limited in the embodiment of the present application.
Optionally, before detecting the current control instruction to the wearable device, the method further includes: collecting historical sample control information of the wearable device within a preset time period; the historical sample control information comprises a historical association sequence of at least two control instructions and historical state characteristic information of the wearable device corresponding to the triggering time of each control instruction in the historical association sequence; and training a preset machine learning model based on the historical association sequence and the historical state characteristic information to generate a control sequence determination model. Wherein the historical state feature information may include at least one of: time information, date category, state of charge, battery power information, bluetooth connection status, microphone operating status, camera operating status, the motion state and the positional information of wearable device. Illustratively, within a preset time period (for example, within a time period of going back one month from the current time), a historical association sequence of two control instructions and historical state characteristic information of the wearable device corresponding to each control instruction trigger time in the historical association sequence are used as a training sample set, and the training sample set is trained to generate a control sequence determination model.
And when the control instruction record list comprises at least two control instruction correlation sequences including the current control instruction, inputting the acquired current state characteristic information and the current control instruction into a control sequence determination model, and analyzing the current state characteristic information by the control sequence determination model to determine a target control instruction correlation sequence.
And step 205, determining a target control instruction association sequence from the at least two control instruction association sequences according to the output result of the control sequence determination model.
Illustratively, according to the analysis result of the control sequence determination model on the current state feature information of the wearable device, a target control instruction association sequence with the current control instruction as a starting instruction is determined from the at least two control instruction association sequences.
And step 206, controlling the wearable device based on the target control instruction association sequence.
And step 207, receiving feedback information of whether the target control instruction association sequence is correct or not from the user.
The feedback information can be understood as correction information or judgment information for judging whether the target control instruction correlation sequence output by the control sequence determination model is correct or not by the user. For example, a correction option or a judgment option for the target control instruction association sequence output by the control sequence determination model can be set in a human-computer interaction interface of the wearable device. The correction options may include two options of "yes" and "no", and when the correction option is "yes", the correction option indicates that the target control instruction associated sequence output by the control sequence determination model is approved by the user, and when the correction option is "no", the correction option indicates that the target control instruction associated sequence output by the control sequence determination model is not approved by the user. The judging option may include two options of "correct" and "incorrect", and when the judging option is "correct", that is, when a judging instruction of "correct" is received by the user, it indicates that the determination result of the target control instruction association sequence output by the control sequence determination model by the user is approved, that is, the determination result of the target control instruction association sequence output by the control sequence determination model is correct. And when the judgment option is 'incorrect', namely an 'incorrect' judgment instruction input by a user is received, the judgment option indicates that the determination result of the target control instruction association sequence output by the control sequence determination model is not approved by the user, namely the determination result of the target control instruction association sequence output by the control sequence determination model is wrong.
And step 208, sending the feedback information to the control sequence determination model for training.
The wearable device receives feedback information whether a target control instruction correlation sequence output by a user to the control sequence determination model is correct or not, and sends the corresponding target control instruction correlation sequence and the feedback information to the control sequence determination model for training so as to adaptively adjust network parameters of the control sequence determination model.
And step 209, controlling the wearable device based on the current control instruction.
It should be noted that, step 207 to step 208 may be executed before step 206, or may be executed after step 206, and the order of executing step 207 to step 208 and step 206 is not limited in this embodiment of the application.
According to the control method of the wearable device, when the control instruction record list comprises at least two control instruction association sequences, current state feature information of the wearable device is obtained, the current state feature information and the current control instruction are input into a preset control sequence determination model, an output result of the control sequence determination model is obtained, a target control instruction association sequence is determined from the at least two control instruction association sequences, the control instruction association sequence with the current state control instruction as a starting instruction can be accurately and reasonably determined according to the current state feature information of the wearable device, and the wearable device is automatically and accurately controlled. In addition, feedback information of whether the target control instruction correlation sequence is correct or not by the user can be sent to the control sequence determination model, and the accuracy of the subsequent control sequence determination model for determining the target control instruction correlation sequence can be further improved.
Fig. 3 is a schematic flow chart of the control method of the wearable device provided in the embodiment of the present application, and optionally, the obtaining a target control instruction association sequence from the control instruction record list includes: when the control instruction record list comprises at least two control instruction association sequences, determining the priority of a target control instruction in each control instruction association sequence; wherein the at least two control instruction association sequences include the current control instruction, and the target control instruction is a next control instruction adjacent to the current control instruction in the control instruction association sequence; and determining a target control instruction association sequence from the at least two control instruction association sequences based on the priority of the target control instruction. As shown in fig. 3, the method includes:
The at least two control instruction association sequences include the current control instruction, and the target control instruction is a next control instruction adjacent to the current control instruction in the control instruction association sequences.
In this embodiment of the present application, when the current control instruction exists in a prestored control instruction record list, and the control instruction record list includes at least two control instruction association sequences including the current control instruction, the priority of the target control instruction in each control instruction association sequence is determined, so as to facilitate a subsequent determination of a target control instruction association sequence using the current control instruction as a starting instruction from at least two control instruction association sequences according to the priority. And the target control instruction is the next control instruction adjacent to the current control instruction in the control instruction association sequence. For example, if the control instruction association sequence is a-B-C-D, the current control instruction is control instruction B, and the target control instruction is control instruction C, the priority of control instruction C needs to be determined. Illustratively, the pre-stored control instruction record list includes a control instruction sequence: C-H-S, F-C-B-E-D, A-B-E-C-D, A-M, B-F-N, and A-C-D, wherein the priority corresponding to control command A, B, C, D, E, F, H, M, N, S is sequentially reduced, such as sequentially 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10. For example, when the current control command is a control command F, it is obvious that the control command F exists in the control command record list, and the control command association sequence including the control command E includes 2 pieces, which are F-C-B-E-D and B-F-N, respectively. In the control instruction association sequence F-C-B-E-D, the next control instruction adjacent to the current control instruction F is a control instruction C, namely, the target control instruction in the control instruction association sequence F-C-B-E-D is the control instruction C, and the priority of the target control instruction is 3; in the control instruction association sequence B-F-N, the next control instruction adjacent to the current control instruction F is the control instruction N, that is, the target control instruction in the control instruction association sequence B-F-N is the control instruction N, and the priority thereof is 9. At this time, it cannot be determined which control instruction association sequence includes the target control instruction association sequence to automatically control the wearable device. Optionally, the target control instruction association sequence may be determined according to the priority of the target control instruction in the 2 control instruction association sequences, so as to implement accurate control on the wearable device.
Optionally, the control sequence taking the current control instruction as the starting instruction is intercepted from the control instruction association sequence corresponding to the target control instruction with higher priority and including the current control instruction as the target control instruction association sequence. Obviously, in the control instruction association sequences F-C-B-E-D and B-F-N, the priority of the target control instruction C in F-C-B-E-D is higher than that of the target control instruction N in B-F-N, so that F-C-B-E-D can be intercepted from F-C-B-E-D as the target control instruction association sequence.
Optionally, when the priority of the target control instruction in each control instruction association sequence including the current control instruction is the same, the target control instruction association sequence is determined according to the priority of the next control instruction adjacent to the target control instruction in each control instruction. For example, when the current control command is control command B, it is obvious that control command B exists in the control command record list, and the control command association sequence including control command B includes 3 pieces, which are F-C-B-E-D, a-B-E-C-D, and B-F-N, respectively. And target control instructions in the three control instruction association sequences are E, E and F respectively, and the target control instruction association sequence is intercepted from the F-C-B-E-D and the A-B-E-C-D because the priority of the control instruction E is higher than that of the control instruction F. And in the control instruction association sequence F-C-B-E-D, the next control instruction adjacent to the control instruction E is a control instruction D, and in the control instruction association sequence A-B-E-C-D, the next control instruction adjacent to the control instruction E is a control instruction C, obviously, the priority of the control instruction C is higher than that of the control instruction D, and the control instruction sequence B-E-C-D is intercepted from the control instruction association sequence A-B-E-C-D to be used as a target control instruction association sequence.
And 305, controlling the wearable device based on the target control instruction association sequence.
And step 306, controlling the wearable device based on the current control instruction.
According to the control method of the wearable device, when the control instruction record list comprises at least two control instruction association sequences, the priority of a target control instruction in each control instruction association sequence is determined, the target control instruction is the next control instruction adjacent to the current control instruction in the control instruction association sequences, the target control instruction association sequences are determined from the at least two control instruction association sequences based on the priority of the target control instruction, the control instruction association sequences with the current control instruction as the starting instruction are accurately and quickly determined, the wearable device is automatically and accurately controlled, interaction between a user and the wearable device can be effectively reduced, power consumption of the wearable device is effectively reduced, and duration of the wearable device is further prolonged.
Fig. 4 is a schematic flow chart of the control method of the wearable device provided in the embodiment of the present application, and optionally, the obtaining a target control instruction association sequence from the control instruction record list includes: when the control instruction record list comprises at least two control instruction association sequences, determining the use frequency of each control instruction association sequence; wherein the at least two control instruction association sequences comprise the current control instruction; and determining a target control instruction association sequence from the at least two control instruction association sequences based on the usage frequency. As shown in fig. 4, the method includes:
Wherein the at least two control instruction association sequences include the current control instruction.
In this embodiment of the present application, when the current control instruction exists in a prestored control instruction record list, and the control instruction record list includes at least two control instruction association sequences including the current control instruction, the frequency of use of each control instruction association sequence is determined, so as to facilitate determining a target control instruction association sequence using the current control instruction as a starting instruction from the at least two control instruction association sequences according to the frequency of use in the following process. Illustratively, the pre-stored control instruction record list includes a control instruction sequence: B-E-F-A (5), F-A-S-B (7), M-N-E-B-D (3), C-D-A (2), and B-E-M-S (10), and the current control instruction is control instruction E. Wherein, the number of the brackets behind the control instruction sequence indicates the use frequency of the control instruction sequence, for example, B-E-F-A (5), the use frequency of the control instruction sequence B-E-F-A is 5, and the like. Obviously, the control instruction E exists in the control instruction record list, and the control instruction association sequence containing the control instruction E comprises 3 pieces, namely B-E-F-A (5), M-N-E-B-D (3) and B-E-M-S (10). At this time, it cannot be determined which control instruction association sequence includes the target control instruction association sequence to automatically control the wearable device. Optionally, the target control instruction association sequence may be determined according to the frequency of use of the 3 control instruction association sequences, so as to implement accurate control on the wearable device.
Optionally, the control instruction association sequence with the current control instruction as the starting instruction is intercepted from the control instruction association sequence with the highest use frequency and containing the current control instruction as the target control instruction association sequence. Illustratively, the control instruction association sequence B-E-F-A containing the control instruction E is used 5 times, the control instruction association sequence M-N-E-B-D containing the control instruction E is used 3 times, and the control instruction association sequence B-E-M-S containing the control instruction E is used 10 times. Obviously, the control instruction association sequence B-E-M-S is used most frequently, and the control instruction sequence E-M-S taking the control instruction E as the initial instruction is intercepted from the control instruction association sequence B-E-M-S to be used as the target control instruction association sequence.
And 404, controlling the wearable device based on the target control instruction association sequence.
According to the control method of the wearable device, when the control instruction record list comprises at least two control instruction association sequences, the use frequency of each control instruction association sequence is determined, the target control instruction association sequence is determined from the at least two control instruction association sequences based on the use frequency, the control instruction association sequence taking the current-shaped control instruction as the starting instruction can be reasonably and quickly determined, the wearable device is automatically and accurately controlled, interaction between a user and the wearable device can be effectively reduced, power consumption of the wearable device is effectively reduced, and endurance time of the wearable device is further prolonged.
Fig. 5 is a schematic structural diagram of a control apparatus of a wearable device according to an embodiment of the present disclosure, where the apparatus may be implemented by software and/or hardware, and is generally integrated in a wearable device, and the wearable device may be controlled by executing a control method of the wearable device. As shown in fig. 5, the apparatus includes:
the control instruction searching module 501 is configured to search whether a current control instruction exists in a prestored control instruction record list when the current control instruction for the wearable device is detected;
an associated sequence obtaining module 502, configured to obtain a target control instruction associated sequence from the control instruction record list when the current control instruction exists; the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction;
a wearable device control module 503, configured to control the wearable device based on the target control instruction association sequence.
The control device for wearable devices provided in this embodiment of the application searches whether a current control instruction exists in a prestored control instruction record list when the current control instruction for the wearable device is detected, and obtains a target control instruction association sequence from the control instruction record list when the current control instruction exists, where the target control instruction association sequence includes a control instruction sequence using the current control instruction as a start instruction, and controls the wearable device based on the target control instruction association sequence. By adopting the technical scheme, the interaction between the user and the wearable device can be effectively reduced, the wearable device is automatically controlled, the power consumption of the wearable device can be effectively reduced, and the endurance time of the wearable device is further improved.
Optionally, the association sequence obtaining module includes:
the state feature acquisition unit is used for acquiring current state feature information of the wearable device when the control instruction record list comprises at least two control instruction association sequences; wherein the at least two control instruction association sequences comprise the current control instruction;
the information input unit is used for inputting the current state characteristic information and the current control instruction into a preset control sequence determination model;
and the association sequence determining unit is used for determining a target control instruction association sequence from the at least two control instruction association sequences according to the output result of the control sequence determination model.
Optionally, the apparatus further comprises:
the system comprises a sample information acquisition module, a data acquisition module and a data processing module, wherein the sample information acquisition module is used for acquiring historical sample control information of the wearable device within a preset time period before a current control instruction of the wearable device is detected; the historical sample control information comprises a historical association sequence of at least two control instructions and historical state characteristic information of the wearable device corresponding to the triggering time of each control instruction in the historical association sequence;
and the control sequence determination model training module is used for training a preset machine learning model based on the historical association sequence and the historical state characteristic information to generate a control sequence determination model.
Optionally, the apparatus further comprises:
the feedback information receiving module is used for receiving feedback information whether the target control instruction correlation sequence is correct or not from a user after the target control instruction correlation sequence is determined according to the output result of the control sequence determination model;
and the feedback information sending module is used for sending the feedback information to the control sequence determination model for training.
Optionally, the status feature information includes at least one of:
time information, date category, state of charge, battery power information, bluetooth connection status, microphone operating status, camera operating status, the motion state and the positional information of wearable device.
Optionally, the association sequence obtaining module is configured to:
when the control instruction record list comprises at least two control instruction association sequences, determining the priority of a target control instruction in each control instruction association sequence; wherein the at least two control instruction association sequences include the current control instruction, and the target control instruction is a next control instruction adjacent to the current control instruction in the control instruction association sequence;
and determining a target control instruction association sequence from the at least two control instruction association sequences based on the priority of the target control instruction.
Optionally, the association sequence obtaining module is configured to:
when the control instruction record list comprises at least two control instruction association sequences, determining the use frequency of each control instruction association sequence; wherein the at least two control instruction association sequences comprise the current control instruction;
and determining a target control instruction association sequence from the at least two control instruction association sequences based on the usage frequency.
Embodiments of the present application also provide a storage medium containing wearable device executable instructions, which when executed by a wearable device processor, are configured to perform a method for controlling a wearable device, the method including:
when a current control instruction for the wearable device is detected, searching whether the current control instruction exists in a prestored control instruction record list;
when the current control instruction exists, acquiring a target control instruction association sequence from the control instruction record list; the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction;
and controlling the wearable equipment based on the target control instruction association sequence.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the control method of the wearable device described above, and may also execute related operations in the control method of the wearable device provided in any embodiment of the present invention.
The present embodiment provides a wearable device on the basis of the foregoing embodiments, fig. 6 is a schematic structural diagram of the wearable device provided in the embodiment of the present application, and fig. 7 is a schematic physical diagram of the wearable device provided in the embodiment of the present application. As shown in fig. 6 and 7, the wearable device includes: memory 601, a processor (CPU) 602, a display component 603, a touch panel 604, a heart rate detection module 605, a distance sensor 606, a camera 607, a bone conduction speaker 608, a microphone 609, a breathing light 610, which are in communication via one or more communication buses or signal lines 611.
It should be understood that the illustrated wearable device is merely one example of a wearable device, and that a wearable device may have more or fewer components than shown in the figures, may combine two or more components, or may have a different configuration of components. The various components shown in the figures may be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits.
The wearable device for controlling the wearable device provided in the present embodiment is described in detail below, and the wearable device takes smart glasses as an example.
A memory 601, the memory 601 being accessible by the CPU602, the memory 601 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other volatile solid state storage devices.
The display component 603 can be used for displaying image data and a control interface of an operating system, the display component 603 is embedded in a frame of the smart glasses, an internal transmission line 611 is arranged inside the frame, and the internal transmission line 611 is connected with the display component 603.
And a touch panel 604, the touch panel 604 being disposed at an outer side of at least one smart glasses temple for acquiring touch data, the touch panel 604 being connected to the CPU602 through an internal transmission line 611. The touch panel 604 can detect finger sliding and clicking operations of the user, and accordingly transmit the detected data to the processor 602 for processing to generate corresponding control commands, which may be, for example, a left shift command, a right shift command, an up shift command, a down shift command, and the like. For example, the display component 603 can display the virtual image data transmitted by the processor 602, and the virtual image data can be correspondingly changed according to the user operation detected by the touch panel 604, specifically, the screen switching can be performed, and when a left shift instruction or a right shift instruction is detected, the previous or next virtual image screen is correspondingly switched; when the display section 603 displays video play information, the left shift instruction may be to perform playback of the play content, and the right shift instruction may be to perform fast forward of the play content; when the display part 603 displays editable text content, the left shift instruction, the right shift instruction, the up shift instruction, and the down shift instruction may be displacement operations on a cursor, that is, the position of the cursor may be moved according to a touch operation of a user on the touch pad; when the content displayed by the display component 603 is a game moving picture, the left shift instruction, the right shift instruction, the upward shift instruction, and the downward shift instruction may be for controlling an object in a game, for example, in an airplane game, the flying direction of the airplane may be controlled by the left shift instruction, the right shift instruction, the upward shift instruction, and the downward shift instruction, respectively; when the display part 603 can display video pictures of different channels, the left shift instruction, the right shift instruction, the up shift instruction, and the down shift instruction can perform switching of different channels, wherein the up shift instruction and the down shift instruction can be switching to a preset channel (such as a common channel used by a user); when the display section 603 displays a still picture, the left shift instruction, the right shift instruction, the up shift instruction, and the down shift instruction may switch between different pictures, where the left shift instruction may be to a previous picture, the right shift instruction may be to a next picture, the up shift instruction may be to a previous picture set, and the down shift instruction may be to a next picture set. The touch panel 604 can also be used to control display switches of the display portion 603, for example, when the touch area of the touch panel 604 is pressed for a long time, the display portion 603 is powered on to display an image interface, when the touch area of the touch panel 604 is pressed for a long time again, the display portion 603 is powered off, and when the display portion 603 is powered on, the brightness or resolution of an image displayed in the display portion 603 can be adjusted by performing a slide-up and slide-down operation on the touch panel 604.
Heart rate detection module 605 for survey user's heart rate data, the heart rate indicates the heartbeat number of minute, and this heart rate detection module 605 sets up at the mirror leg inboard. Specifically, the heart rate detection module 605 may obtain the human body electrocardiographic data by using the dry electrode in an electric pulse measurement manner, and determine the heart rate according to the amplitude peak value in the electrocardiographic data; this rhythm of heart detection module 605 can also be by adopting the light transmission and the light receiver component of photoelectric method measurement rhythm of heart, corresponding, and this rhythm of heart detection module 605 sets up in the mirror leg bottom, the earlobe department of human auricle. Heart rate detection module 605 gathers heart rate data back can be corresponding send to and carry out data processing in processor 602 and has obtained the current heart rate value of wearer, in an embodiment, processor 602 is after determining user's heart rate value, can show this heart rate value in display component 603 in real time, optional processor 602 is determining that heart rate value is lower (if be less than 50) or higher (if be greater than 100) can be corresponding trigger the alarm of integration in the intelligent glasses, send this heart rate value and/or the alarm information that generates to the server through communication module simultaneously.
The distance sensor 606 may be disposed on the frame, the distance sensor 606 is used for sensing a distance from a human face to the frame, and the distance sensor 606 may be implemented by using an infrared sensing principle. Specifically, the distance sensor 606 transmits the acquired distance data to the processor 602, and the processor 602 controls the brightness of the display part 603 according to the distance data. Illustratively, the processor 602 controls the display 603 to be in an on state when it determines that the distance detected by the distance sensor 606 is less than 5 cm, and controls the display 604 to be in an off state when it determines that the distance sensor detects an object approaching.
The breathing lamp 610 may be disposed at an edge of the frame, and when the display component 603 turns off the display screen, the breathing lamp 610 may be turned on to generate a gradually changing light-dark effect according to the control of the processor 602.
The camera 607 may be a front camera module disposed at the upper frame of the frame for collecting image data in front of the user, a rear camera module for collecting eyeball information of the user, or a combination thereof. Specifically, when the camera 607 collects the front image, the collected image is sent to the processor 602 for recognition and processing, and a corresponding trigger event is triggered according to the recognition result. Illustratively, when a user wears the wearable device at home, by identifying the collected front image, if a furniture item is identified, correspondingly inquiring whether a corresponding control event exists, if so, correspondingly displaying a control interface corresponding to the control event in the display part 603, and controlling the corresponding furniture item through the touch panel 604 by the user, wherein the furniture item and the smart glasses are in network connection through bluetooth or wireless ad hoc network; when a user wears the wearable device outdoors, a target recognition mode can be started correspondingly, the target recognition mode can be used for recognizing specific people, the camera 607 sends collected images to the processor 602 for face recognition processing, if preset faces are recognized, sound broadcasting can be performed through a speaker integrated with the smart glasses correspondingly, the target recognition mode can also be used for recognizing different plants, for example, the processor 602 records current images collected by the camera 607 according to touch operation of the touch panel 604 and sends the current images to the server for recognition through the communication module, the server recognizes the plants in the collected images and feeds back related plant names to the smart glasses, and feedback data are displayed in the display component 603. The camera 607 may also be configured to capture an image of an eye of a user, such as an eyeball, and generate different control instructions by recognizing rotation of the eyeball, for example, the eyeball rotates upward to generate an upward movement control instruction, the eyeball rotates downward to generate a downward movement control instruction, the eyeball rotates leftward to generate a leftward movement control instruction, and the eyeball rotates rightward to generate a rightward movement control instruction, where the display component 603 may display virtual image data transmitted by the processor 602, where the virtual image data may be changed according to a control instruction generated according to a change in movement of the eyeball of the user detected by the camera 607, and specifically, may perform frame switching, and when a leftward movement control instruction or a rightward movement control instruction is detected, switch to a previous or next virtual image frame; when the display part 603 displays video playing information, the left control instruction may be to perform playback of the playing content, and the right control instruction may be to perform fast forward of the playing content; when the display part 603 displays editable text content, the left movement control instruction, the right movement control instruction, the upward movement control instruction, and the downward movement control instruction may be displacement operations of a cursor, that is, the position of the cursor may be moved according to a touch operation of a user on the touch pad; when the content displayed by the display component 603 is a game animation picture, the left movement control command, the right movement control command, the upward movement control command and the downward movement control command may be used to control an object in a game, for example, in an airplane game, the flying direction of an airplane may be controlled by the left movement control command, the right movement control command, the upward movement control command and the downward movement control command respectively; when the display part 603 can display video pictures of different channels, the left shift control instruction, the right shift control instruction, the up shift control instruction, and the down shift control instruction can switch different channels, wherein the up shift control instruction and the down shift control instruction can be switching to a preset channel (such as a common channel used by a user); when the display part 603 displays a still picture, the left shift control command, the right shift control command, the up shift control command, and the down shift control command may switch between different pictures, where the left shift control command may be to a previous picture, the right shift control command may be to a next picture, the up shift control command may be to a previous picture set, and the down shift control command may be to a next picture set.
And a bone conduction speaker 608, the bone conduction speaker 608 being provided on an inner wall side of at least one temple, for converting the received audio signal transmitted from the processor 602 into a vibration signal. The bone conduction speaker 608 transmits sound to the inner ear of the human body through the skull, converts an electrical signal of the audio frequency into a vibration signal, transmits the vibration signal into a cochlea of the skull, and is sensed by auditory nerves. Through bone conduction speaker 608 as the sound generating mechanism has reduced hardware structure thickness, and weight is lighter, and electromagnetic radiation does not also can not receive electromagnetic radiation's influence simultaneously to possess noise immunity, waterproof and the advantage of liberating ears.
A microphone 609, which may be located on the lower rim of the frame, is used to capture external (user, ambient) sounds and transmit them to the processor 602 for processing. Illustratively, the microphone 609 collects the sound emitted by the user and performs voiceprint recognition through the processor 602, and if the sound is recognized as a voiceprint for authenticating the user, the subsequent voice control can be correspondingly received, specifically, the user can emit voice, the microphone 609 sends the collected voice to the processor 602 for recognition so as to generate a corresponding control instruction according to the recognition result, such as "power on", "power off", "display brightness increase", "display brightness decrease", and the processor 602 executes a corresponding control process according to the generated control instruction subsequently.
The control device, the storage medium and the wearable device of the wearable device provided in the above embodiments may execute the control method of the wearable device provided in any embodiment of the present application, and have corresponding functional modules and beneficial effects for executing the method. Technical details that are not described in detail in the above embodiments may be referred to a control method of a wearable device provided in any embodiment of the present application.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. A method for controlling a wearable device, comprising:
when a current control instruction for the wearable device is detected, searching whether the current control instruction exists in a prestored control instruction record list;
when the current control instruction exists, acquiring a target control instruction association sequence from the control instruction record list; the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction; the control instruction recording list comprises a time sequence correlation sequence of the control instructions of the wearable device by the user;
and controlling the wearable equipment based on the target control instruction association sequence.
2. The method according to claim 1, wherein the obtaining a target control instruction association sequence from the control instruction record list comprises:
when the control instruction recording list comprises at least two control instruction association sequences, acquiring current state characteristic information of the wearable device; wherein the at least two control instruction association sequences comprise the current control instruction;
inputting the current state characteristic information and the current control instruction into a preset control sequence determination model;
and determining a target control instruction association sequence from the at least two control instruction association sequences according to the output result of the control sequence determination model.
3. The method of claim 2, prior to detecting the current control instruction to the wearable device, further comprising:
collecting historical sample control information of the wearable device within a preset time period; the historical sample control information comprises a historical association sequence of at least two control instructions and historical state characteristic information of the wearable device corresponding to the triggering time of each control instruction in the historical association sequence;
and training a preset machine learning model based on the historical association sequence and the historical state characteristic information to generate a control sequence determination model.
4. The method of claim 2, further comprising, after determining a target control command correlation sequence from the at least two control command correlation sequences based on the output of the control sequence determination model:
receiving feedback information whether the target control instruction association sequence is correct or not from a user;
and sending the feedback information to the control sequence determination model for training.
5. The method according to any of claims 2-4, wherein the status signature information comprises at least one of:
time information, date category, state of charge, battery power information, bluetooth connection status, microphone operating status, camera operating status, the motion state and the positional information of wearable device.
6. The method according to claim 1, wherein the obtaining a target control instruction association sequence from the control instruction record list comprises:
when the control instruction record list comprises at least two control instruction association sequences, determining the priority of a target control instruction in each control instruction association sequence; wherein the at least two control instruction association sequences include the current control instruction, and the target control instruction is a next control instruction adjacent to the current control instruction in the control instruction association sequence;
and determining a target control instruction association sequence from the at least two control instruction association sequences based on the priority of the target control instruction.
7. The method according to claim 1, wherein the obtaining a target control instruction association sequence from the control instruction record list comprises:
when the control instruction record list comprises at least two control instruction association sequences, determining the use frequency of each control instruction association sequence; wherein the at least two control instruction association sequences comprise the current control instruction;
and determining a target control instruction association sequence from the at least two control instruction association sequences based on the usage frequency.
8. A control device of a wearable device, comprising:
the control instruction searching module is used for searching whether the current control instruction exists in a prestored control instruction recording list when the current control instruction of the wearable device is detected;
the association sequence acquisition module is used for acquiring a target control instruction association sequence from the control instruction record list when the current control instruction exists; the target control instruction association sequence comprises a control instruction sequence taking the current control instruction as a starting instruction; the control instruction recording list comprises a time sequence correlation sequence of the control instructions of the wearable device by the user;
and the wearable device control module is used for controlling the wearable device based on the target control instruction association sequence.
9. A storage medium containing wearable device-executable instructions, which when executed by a wearable device processor, are configured to perform a method of controlling a wearable device as claimed in any one of claims 1-7.
10. A wearable device, comprising: processor, memory and computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of controlling a wearable device according to any of claims 1-7 when executing the computer program.
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| US20160091965A1 (en) * | 2014-09-30 | 2016-03-31 | Microsoft Corporation | Natural motion-based control via wearable and mobile devices |
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| CN107978313A (en) * | 2016-09-23 | 2018-05-01 | 苹果公司 | Intelligent automation assistant |
| CN108205467A (en) * | 2016-12-19 | 2018-06-26 | 谷歌有限责任公司 | The intelligence auxiliary of repetitive operation |
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