CN103645804A - Method and device for identifying human body gestures as well as watch using device - Google Patents
Method and device for identifying human body gestures as well as watch using device Download PDFInfo
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- CN103645804A CN103645804A CN201310700095.3A CN201310700095A CN103645804A CN 103645804 A CN103645804 A CN 103645804A CN 201310700095 A CN201310700095 A CN 201310700095A CN 103645804 A CN103645804 A CN 103645804A
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Abstract
The invention discloses a method for identifying human body gestures. The method is used for a device pre-stored with gesture commands and action commands, and comprises steps as follows: selecting a required gesture command in advance, and setting an action command corresponding to the gesture; identifying and collecting gesture action signals of a human body; preprocessing the signals, and extracting a gesture characteristic signal from the signals; identifying whether the gesture command represented by the gesture characteristic signal is the gesture command selected in advance, and if yes, informing a corresponding action module to act according to the action command corresponding to the gesture command; and if no, waiting for a signal collecting module to collect next gesture action signal. The invention further discloses a device for identifying the human body gestures as well as a watch comprising the device. Therefore, a user can control the watch to act through conversion of electromyographic signals generated by the gestures into corresponding gesture commands, and the user can enter certain mode more conveniently and quickly and operates the watch for corresponding functions.
Description
Technical field
The present invention relates to mobile device technical field, relate in particular to a kind of method, the device of human body gesture and wrist-watch that uses it identified.
Background technology
Development along with mobile technology, can only be used in the past the wrist-watch of the time of seeing, nowadays function is more and more, and the content pages of demonstration is more and more abundanter, as being connected with internet by smart mobile phone or home network, show the contents such as incoming information, Weather information, note, news, schedule.
At present, there are a lot of problems in most of intelligent watch in operation convenience, agility, can only be switched to the interested content of user by touch-screen (slip) or physical button.As wrist-watch exists the poor shortcoming of flying power, for power saving, user may select to close backlight and some application, but when light is not good while wanting to open backlight, just user need to manually find, arranges accordingly and can open.And for example the wrist-watch of built-in camera can also be taken pictures, but when taking pictures, needs user to be manually switched to exposal model, can miss a lot of splendid moments.For another example integrated the intelligent watch after a series of sensors such as gravity sensing, can help user to complete a series of things such as meter step, Measure blood pressure, but need equally user need to manually go to switch, common using between wrist-watch and medical wrist-watch, switch very and bother back and forth.
Summary of the invention
In view of this, the present invention proposes a kind of method, the device of human body gesture and wrist-watch that uses it identified, to address the above problem.
For achieving the above object, the technical scheme of the embodiment of the present invention is achieved in that
A method of identifying human body gesture, is characterized in that, for storing in advance the device of gesture instruction and action command, comprising:
A1, the gesture instruction that selection needs in advance, and described action command corresponding to described gesture is set;
A2, identification also gather the gesture motion signal of human body;
A3, by Signal Pretreatment, and extract gesture feature signal wherein;
Whether a4, the gesture instruction of identifying described gesture feature signal representative are the gesture instruction of selecting in advance, if so, enter step a5; If not, return to step a2;
A5, the action command corresponding according to described gesture instruction, notify corresponding action module action.
Preferably, described action command is the action of taking pictures, and described action module is the control module of taking pictures;
In described device body, be also provided with memory module, after step a5, also comprise:
A6, described in the control module of taking pictures control described device body and take pictures, and after having taken pictures by clap photo storage in described memory module.
Preferably, described action command is backlight lamp control action, and described action module is backlight lamp control module;
After step a5, also comprise:
A7, the action of described backlight lamp control module, control backlight and open or close.
Preferably, described action command is for receiving calls or checking that note, described action module are cell phone incoming call processing module;
After step a5, also comprise:
If the described action command of a8 is for receiving calls, described cell phone incoming call processing module action, to send or to receive the voice flow of the mobile phone of binding with this device;
If the described action command of a9 is for checking note, described cell phone incoming call processing module action, to check or to automatically reply the note of the mobile phone of binding with this device.
Preferably, described device also comprises display module;
Described action module is carried out action corresponding to described gesture instruction, and shows in described display module.
The embodiment of the invention also discloses a kind of device of identifying human body gesture, it is characterized in that, in described device, store in advance gesture instruction and action command, comprising:
Gesture collection module, the gesture instruction that selection needs in advance, and described action command corresponding to described gesture is set;
Signal acquisition module, identification also gather the gesture motion signal of human body;
Signal processing module, by Signal Pretreatment, and extract gesture feature signal wherein;
Whether signal identification module, the gesture instruction of identifying described gesture feature signal representative are the gesture instruction of selecting in advance, if so, notify corresponding action module action; If not, wait for that described signal acquisition module gathers next gesture motion signal.
Preferably, described action command is the action of taking pictures, and described action module is the control module of taking pictures;
In described device body, be also provided with memory module; The described control module of taking pictures is controlled described device body and is taken pictures, and after having taken pictures by clap photo storage in described memory module.
Preferably, described action command is backlight lamp control action, and described action module is backlight lamp control module;
Described backlight lamp control module action, controls backlight and opens or closes.
Preferably, described action command is for receiving calls or checking that note, described action module are cell phone incoming call processing module;
If described gesture instruction is for receiving calls, described cell phone incoming call processing module action, to send or to receive the voice flow of the mobile phone of binding with this wrist-watch;
If described gesture instruction is for checking note, described cell phone incoming call processing module action, to check or to automatically reply the note of the mobile phone of binding with this wrist-watch.
Preferably, device disclosed by the invention also comprises: display module;
Described action module is carried out action corresponding to described gesture instruction, and shows in described display module.
The embodiment of the invention also discloses a kind of wrist-watch of identifying human body gesture, it is characterized in that, comprise device as above.
Preferably, described wrist-watch comprises wrist-watch body, the watchband being connected with described wrist-watch body and is located at the myoelectric sensor in described wrist-watch body and/or described watchband;
The gesture motion of described myoelectric sensor identification human body also produces gesture motion signal, and described wrist-watch body gathers described gesture motion signal.
Preferably, described in each, myoelectric sensor comprises two electromyographic electrodes; Two described electromyographic electrodes are positioned at the inner side of described wrist-watch body and/or described watchband;
Two described electromyographic electrodes are parallel to each other, and arrange along the bearing of trend perpendicular to described watchband.
Preferably, described myoelectric sensor also comprises a reference electrode, and described reference electrode is positioned at the inner side of described wrist-watch body and/or described watchband.
Preferably, the described myoelectric sensor that is positioned at described watchband inner side is two, and the electromyographic electrode being positioned on these two described myoelectric sensors is symmetrical about described wrist-watch body;
The described myoelectric sensor that is positioned at described wrist-watch body inner side is one.
Beneficial effect of the present invention is, built-in one or more myoelectric sensors in wrist-watch body and/or watchband (integrated surface myoelectric electrode), user converts corresponding gesture instruction to by the electromyographic signal that gesture is produced and controls wrist-watch and move like this, as the switch of certain gestures action control wrist-watch backlight, open note etc., make user can enter to more convenient and quicker certain pattern and operation wrist-watch corresponding function.
Accompanying drawing explanation
Fig. 1 a is the watch structure schematic diagram of the identification human body gesture in the embodiment of the present invention;
Fig. 1 b is the wrist-watch of the identification human body gesture in the embodiment of the present invention structural representation under use state;
Fig. 2 is the modules connection diagram of device of the identification human body gesture of the embodiment of the present invention;
Fig. 3 is watch function figure corresponding to a kind of human body gesture defining in the embodiment of the present invention;
Fig. 4 is the process flow diagram of method of the identification human body gesture of the embodiment of the present invention.
Fig. 5 is the workflow diagram of wrist-watch of the identification human body gesture of the embodiment of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below, by specific embodiment and referring to accompanying drawing, the present invention is described in detail.
The embodiment of the invention discloses a kind of wrist-watch of identifying human body gesture, as shown in Fig. 1 a and Fig. 1 b, comprising: wrist-watch body 2, the watchband 1 being connected with described wrist-watch body 2 and be located at described wrist-watch body 2 and/or described watchband 1 in to gather the myoelectric sensor (not shown) of human muscle's fiber signals.
In the present embodiment, definition watchband 1 and wrist-watch body 2 are when wearing, and a side of pressing close to human body is inner side, away from a side of human body, are outside.
Described in each, myoelectric sensor comprises two electromyographic electrodes, all signal input.Two input signals " subtract each other ", remove common mode composition wherein, only amplify different differential mode compositions.Two described electromyographic electrodes are positioned at the inner side of described wrist-watch body 2 and/or described watchband 1, to measure the meat fiber variable signal of human body.Usually, wrist-watch, when wearing, is all worn on wrist place, and the meat fiber at wrist place is to extend along the direction of arm.For the signal weaker that prevents from collecting, two described electromyographic electrodes are parallel to each other, and arrange along the bearing of trend perpendicular to described watchband 1, with vertical with the bearing of trend of meat fiber.
In addition, in order to eliminate the noise effect from power lead, improve the inhibition ability to common-mode signal, described myoelectric sensor also comprises a reference electrode, and described reference electrode is positioned at the inner side of described wrist-watch body 2 and/or described watchband 1.
Preferably, it is two that the described myoelectric sensor be positioned at described watchband 1 inner side is set in the present embodiment, a myoelectric sensor comprises two electromyographic electrodes 30, another myoelectric sensor comprises two electromyographic electrodes 40, and is positioned at electromyographic electrode 30 on these two described myoelectric sensors and 40 symmetrical about described wrist-watch body 2; The described myoelectric sensor that is positioned at described wrist-watch body 2 inner sides is one, is positioned at and on this myoelectric sensor, has two electromyographic electrodes 50 and a reference electrode 60.Wherein, the position of reference electrode 60 can be any, is preferably between two described electromyographic electrodes 50, and be arranged in parallel with two described electromyographic electrodes 50 in the present embodiment.When wearing, electromyographic electrode 30 and 40 is positioned at the symmetric position of electromyographic electrode 50 both sides like this, to gather better the electromyographic signal of human body, as shown in Figure 1 b.
The wrist-watch of the identification human body gesture of the embodiment of the present invention, by built-in one or more myoelectric sensors in wrist-watch body 2 and/or watchband 1 (integrated surface myoelectric electrode), user converts corresponding operational order to by the electromyographic signal that gesture is produced like this, as the switch of certain gestures action control wrist-watch backlight, open note etc., make user can enter to more convenient and quicker certain pattern and operation wrist-watch corresponding function.
In order to realize above-mentioned functions, the invention also discloses a kind of device of identifying human body gesture, for above-mentioned wrist-watch.
The device of identification human body gesture must comprise with lower module: signal acquisition module, signal processing module, gesture identification module, display module and action module, as shown in Figure 2.
The specific works flow process of modules is as follows:
Gesture collection module, the gesture instruction that selection needs in advance, and described action command corresponding to described gesture is set; Gesture collection module is arranged in described signal identification module, pre-stored various predefined mobile phone set, and user can therefrom select the corresponding a certain watch function of corresponding gesture.In the present embodiment, gesture instruction and action command are all stored in described gesture collection module.
Signal acquisition module, identification also gather the gesture motion signal of human body;
Signal processing module, by Signal Pretreatment, and extract gesture feature signal wherein;
Whether signal identification module, the gesture instruction of identifying described gesture feature signal representative are the gesture instruction of selecting in advance, if so, notify corresponding action module action; If not, wait for that described signal acquisition module gathers next gesture motion signal.
In wrist-watch body 2, also comprise memory module, for user, store own interested content.
In wrist-watch body 2, also comprise display module, action module is carried out action corresponding to described gesture instruction, and shows in described display module.
This shows, the wrist-watch of the embodiment of the present invention, before identification human body gesture, needs human body gesture that user's preset in advance need to use and corresponding wrist-watch action thereof, could use afterwards it to carry out gesture identification.
Fig. 3 is watch function figure corresponding to a kind of human body gesture defining in the embodiment of the present invention.During actual use, be not limited to this kind of definition mode.
While it should be noted that actual use, can also define gesture set, so that wrist-watch completes complicated action.
Described action module can be for multiple, as the control module of taking pictures, backlight lamp control module, cell phone incoming call processing module, individual health data acquisition module etc.
If action command is the action of taking pictures, described action module is the control module of taking pictures; The control module of taking pictures is controlled described wrist-watch and is taken pictures, and after having taken pictures by clap photo storage in described memory module.
If action command is backlight lamp control action, described action module is backlight lamp control module; Described backlight lamp control module action, controls backlight and opens or closes.
If described action command is for receiving calls or checking that note, described action module are cell phone incoming call processing module; So, if described gesture instruction for receiving calls, the action of described cell phone incoming call processing module, to send or to receive the voice flow with the mobile phone of this wrist-watch binding; If described gesture instruction is for checking note, described cell phone incoming call processing module action, to check or to automatically reply the note of the mobile phone of binding with this wrist-watch.
The present embodiment also discloses a kind of method of identifying human body gesture, for device as above.In this device, store in advance gesture instruction and action command, as shown in Figure 4, comprising:
A1, the gesture instruction that selection needs in advance, and described action command corresponding to described gesture is set;
A2, identification also gather the gesture motion signal of human body;
A3, by Signal Pretreatment, and extract gesture feature signal wherein;
Whether a4, the gesture instruction of identifying described gesture feature signal representative are the gesture instruction of selecting in advance, if so, enter step a5; If not, return to step a2;
A5, the action command corresponding according to described gesture instruction, notify corresponding action module action.
If action command is the action of taking pictures, described action module is photo module; In described wrist-watch body, be also provided with memory module, after step a5, also comprise:
A6, described in the control module of taking pictures control described wrist-watch and take pictures, and after having taken pictures by clap photo storage in described memory module.
If action command is backlight lamp control action, described action module is backlight lamp control module; After step a5, also comprise:
A7, the action of described backlight lamp control module, control backlight and open or close.
If action command is for receiving calls or checking that note, described action module are cell phone incoming call processing module; After step a5, also comprise:
If the described action command of a8 is for receiving calls, described cell phone incoming call processing module action, to send or to receive the voice flow of the mobile phone of binding with this wrist-watch;
If the described action command of a9 is for checking note, described cell phone incoming call processing module action, to check or to automatically reply the note of the mobile phone of binding with this wrist-watch.
Below in conjunction with Fig. 5, the idiographic flow of the wrist-watch identification human body gesture of the present embodiment is described.
Step 101: the gesture of opening wrist-watch is controlled the switch of watch function.
Step 102: before carrying out gesture identification, the gesture that user will concentrate selection to use from gesture in advance, and the wrist-watch action corresponding with it is set, referring to Fig. 3.
Step 103: after setting completed, user, when using wrist-watch, when needs wrist-watch carries out certain action, does corresponding gesture motion.
Step 104: while having incoming call, user does gesture motion for incoming call.It should be noted that and all the other operations difference to some extent, in such cases, user removes to require incoming call on one's own initiative, but does corresponding gesture motion in the situation that of existing incoming call, and enters step 105;
Step 105: judge whether signal acquisition module collects the electromyographic signal that myoelectric sensor obtains, if collected, enters step 106, otherwise, return to step 103;
Step 106: signal acquisition module reaches signal processing module by the gesture motion signal collecting, and signal processing module carries out pre-service;
Step 107: signal processing module extracts gesture feature signal wherein, and converts thereof into exportable signal, reaches gesture identification module;
Step 108: gesture identification module judges whether this gesture is concentrated in gesture, if so, the actuating signal corresponding according to this gesture, notifies corresponding action module action; If not, return to step 103;
Action module comprises a plurality of, as the control module of taking pictures, backlight lamp control module, cell phone incoming call processing module etc.If take pictures control module, enter step 109; If backlight lamp control module enters step 110; If cell phone incoming call processing module enters step 111.
Step 109: the control module of taking pictures action, by wrist-watch, take pictures, and enter step 110;
Step 110: whether the control module of the taking pictures judgement process of taking pictures finishes, and if so, returns to end signal to the control module of taking pictures, the control module of then taking pictures by clap photo storage in described memory module;
Step 111: the action of backlight lamp control module, opens or closes to control backlight.
Step 112: cell phone incoming call processing module action, if the actuating signal that described gesture feature signal is corresponding is the signal that receives calls, described gesture collection module is notified described cell phone incoming call processing module action, to send or to receive the voice flow of the mobile phone of binding with this wrist-watch;
If actuating signal corresponding to described gesture feature signal is for checking note signal, described gesture collection module is notified described cell phone incoming call processing module action, to check or to automatically reply the note with the mobile phone of this wrist-watch binding.
Action module can also be moved for other, as individual health data acquisition module.If actuating signal corresponding to gesture feature signal be for obtaining individual health data, the action of gesture collection module notice individual health data acquisition module, to obtain people's the data such as pulse, blood pressure, and is presented in display module.At this, just do not enumerate.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, be equal to replacement, improvement etc., within all should being included in the scope of protection of the invention.
Claims (15)
1. a method of identifying human body gesture, is characterized in that, for storing in advance the device of gesture instruction and action command, comprising:
A1, the gesture instruction that selection needs in advance, and described action command corresponding to described gesture is set;
A2, identification also gather the gesture motion signal of human body;
A3, by Signal Pretreatment, and extract gesture feature signal wherein;
Whether a4, the gesture instruction of identifying described gesture feature signal representative are the gesture instruction of selecting in advance, if so, enter step a5; If not, return to step a2;
A5, the action command corresponding according to described gesture instruction, notify corresponding action module action.
2. the method for identification human body gesture according to claim 1, is characterized in that, described action command is the action of taking pictures, and described action module is the control module of taking pictures;
In described device body, be also provided with memory module, after step a5, also comprise:
A6, described in the control module of taking pictures control described device body and take pictures, and after having taken pictures by clap photo storage in described memory module.
3. the method for identification human body gesture according to claim 1, is characterized in that, described action command is backlight lamp control action, and described action module is backlight lamp control module;
After step a5, also comprise:
A7, the action of described backlight lamp control module, control backlight and open or close.
4. the method for identification human body gesture according to claim 1, is characterized in that, described action command is for receiving calls or checking that note, described action module are cell phone incoming call processing module;
After step a5, also comprise:
If the described action command of a8 is for receiving calls, described cell phone incoming call processing module action, to send or to receive the voice flow of the mobile phone of binding with this device;
If the described action command of a9 is for checking note, described cell phone incoming call processing module action, to check or to automatically reply the note of the mobile phone of binding with this device.
5. the method for identification human body gesture according to claim 1, is characterized in that, described device also comprises display module;
Described action module is carried out action corresponding to described gesture instruction, and shows in described display module.
6. a device of identifying human body gesture, is characterized in that, stores in advance gesture instruction and action command in described device, comprising:
Gesture collection module, the gesture instruction that selection needs in advance, and described action command corresponding to described gesture is set;
Signal acquisition module, identification also gather the gesture motion signal of human body;
Signal processing module, by Signal Pretreatment, and extract gesture feature signal wherein;
Whether signal identification module, the gesture instruction of identifying described gesture feature signal representative are the gesture instruction of selecting in advance, if so, notify corresponding action module action; If not, wait for that described signal acquisition module gathers next gesture motion signal.
7. the device of identification human body gesture according to claim 6, is characterized in that, described action command is the action of taking pictures, and described action module is the control module of taking pictures;
In described device body, be also provided with memory module; The described control module of taking pictures is controlled described device body and is taken pictures, and after having taken pictures by clap photo storage in described memory module.
8. the device of identification human body gesture according to claim 6, is characterized in that, described action command is backlight lamp control action, and described action module is backlight lamp control module;
Described backlight lamp control module action, controls backlight and opens or closes.
9. the device of identification human body gesture according to claim 6, is characterized in that, described action command is for receiving calls or checking that note, described action module are cell phone incoming call processing module;
If described gesture instruction is for receiving calls, described cell phone incoming call processing module action, to send or to receive the voice flow of the mobile phone of binding with this wrist-watch;
If described gesture instruction is for checking note, described cell phone incoming call processing module action, to check or to automatically reply the note of the mobile phone of binding with this wrist-watch.
10. the device of identification human body gesture according to claim 6, is characterized in that, also comprises: display module;
Described action module is carried out action corresponding to described gesture instruction, and shows in described display module.
11. 1 kinds of wrist-watches of identifying human body gesture, is characterized in that, comprise the device as described in claim 6-10 any one.
The wrist-watch of 12. identification human body gestures according to claim 11, is characterized in that, described wrist-watch comprises wrist-watch body, the watchband being connected with described wrist-watch body and is located at the myoelectric sensor in described wrist-watch body and/or described watchband;
The gesture motion of described myoelectric sensor identification human body also produces gesture motion signal, and described wrist-watch body gathers described gesture motion signal.
The wrist-watch of 13. identification human body gestures according to claim 12, is characterized in that, described in each, myoelectric sensor comprises two electromyographic electrodes; Two described electromyographic electrodes are positioned at the inner side of described wrist-watch body and/or described watchband;
Two described electromyographic electrodes are parallel to each other, and arrange along the bearing of trend perpendicular to described watchband.
The wrist-watch of 14. identification human body gestures according to claim 13, is characterized in that, described myoelectric sensor also comprises a reference electrode, and described reference electrode is positioned at the inner side of described wrist-watch body and/or described watchband.
The wrist-watch of 15. identification human body gestures according to claim 12, is characterized in that, the described myoelectric sensor that is positioned at described watchband inner side is two, and the electromyographic electrode being positioned on these two described myoelectric sensors is symmetrical about described wrist-watch body;
The described myoelectric sensor that is positioned at described wrist-watch body inner side is one.
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Cited By (54)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104461365A (en) * | 2014-12-11 | 2015-03-25 | 三星电子（中国）研发中心 | Touch method and device of terminal |
| CN104571517A (en) * | 2014-12-31 | 2015-04-29 | 杨皓 | Body movement based input and control method for electronic device |
| CN104698831A (en) * | 2015-03-03 | 2015-06-10 | 惠州Tcl移动通信有限公司 | Intelligent wrist watch capable of automatically rotating interface along with gesture and control method thereof |
| CN104836897A (en) * | 2015-03-31 | 2015-08-12 | 小米科技有限责任公司 | Method and device for controlling terminal communication through wearable device |
| CN104932671A (en) * | 2014-03-21 | 2015-09-23 | 纬创资通股份有限公司 | Control method and wearable electronic device |
| CN104978013A (en) * | 2014-04-08 | 2015-10-14 | 立普思股份有限公司 | Gesture recognition method of motion sensing detector |
| WO2015176228A1 (en) * | 2014-05-20 | 2015-11-26 | 华为技术有限公司 | Method for gestures operating smart wearable device and smart wearable device |
| CN105138112A (en) * | 2015-07-13 | 2015-12-09 | 腾讯科技（深圳）有限公司 | Display control method and apparatus |
| CN105204622A (en) * | 2015-08-26 | 2015-12-30 | 广东欧珀移动通信有限公司 | Unread message acquisition method and smart watch |
| CN105373321A (en) * | 2014-08-13 | 2016-03-02 | 中兴通讯股份有限公司 | Control method and device for functional objects of mobile terminal and mobile terminal |
| JP2016038904A (en) * | 2014-08-06 | 2016-03-22 | パナソニックＩｐマネジメント株式会社 | Wrist wearable input device |
| CN105868738A (en) * | 2016-05-03 | 2016-08-17 | 卢涛 | Intelligent bracelet |
| CN105915252A (en) * | 2016-06-03 | 2016-08-31 | 中科新松有限公司 | Wearable intelligent communication equipment and interaction method |
| CN106137154A (en) * | 2016-06-29 | 2016-11-23 | 北京汤博科技有限责任公司 | A kind of heart rate temperature taking all-in-one controlled by APP and its implementation |
| CN106303189A (en) * | 2015-05-22 | 2017-01-04 | 上海中兴思秸通讯有限公司 | The method and system of shooting |
| CN106331366A (en) * | 2016-09-12 | 2017-01-11 | 广州视源电子科技股份有限公司 | Incoming call processing method, wearable device, mobile terminal, and incoming call processing system |
| TWI580306B (en) * | 2015-05-19 | 2017-04-21 | Goyourlife Inc | Automatic lighting switchgear and method |
| CN106855742A (en) * | 2015-12-08 | 2017-06-16 | 深圳市几米软件有限公司 | The intelligent vehicle-mounted system and control method of safety operation are realized based on gesture identification |
| US9709956B1 (en) | 2013-08-09 | 2017-07-18 | Apple Inc. | Tactile switch for an electronic device |
| CN107005805A (en) * | 2014-12-04 | 2017-08-01 | 三星电子株式会社 | Wearable device and the method that message is sent from it |
| US9753436B2 (en) | 2013-06-11 | 2017-09-05 | Apple Inc. | Rotary input mechanism for an electronic device |
| CN107258093A (en) * | 2015-03-03 | 2017-10-17 | 高通股份有限公司 | Manage the activity performed by multiple mobile devices arranged side by side |
| CN107315480A (en) * | 2017-07-07 | 2017-11-03 | 广东小天才科技有限公司 | Shortcut operation method, device, equipment and storage medium based on terminal device |
| US9891651B2 (en) | 2016-02-27 | 2018-02-13 | Apple Inc. | Rotatable input mechanism having adjustable output |
| US9952558B2 (en) | 2015-03-08 | 2018-04-24 | Apple Inc. | Compressible seal for rotatable and translatable input mechanisms |
| CN108108016A (en) * | 2017-12-07 | 2018-06-01 | 浙江大学 | Gesture perceptron |
| US10019097B2 (en) | 2016-07-25 | 2018-07-10 | Apple Inc. | Force-detecting input structure |
| US10018966B2 (en) | 2015-04-24 | 2018-07-10 | Apple Inc. | Cover member for an input mechanism of an electronic device |
| US10048802B2 (en) | 2014-02-12 | 2018-08-14 | Apple Inc. | Rejection of false turns of rotary inputs for electronic devices |
| CN108399859A (en) * | 2018-05-17 | 2018-08-14 | 苏州佳世达电通有限公司 | Display |
| CN108445737A (en) * | 2017-02-16 | 2018-08-24 | 深圳智能表芯科技有限公司 | A kind of control method of smartwatch, device and smartwatch |
| US10061399B2 (en) | 2016-07-15 | 2018-08-28 | Apple Inc. | Capacitive gap sensor ring for an input device |
| CN108564105A (en) * | 2018-02-28 | 2018-09-21 | 浙江工业大学 | A kind of online gesture identification method for myoelectricity individual difference problem |
| CN108574764A (en) * | 2017-03-07 | 2018-09-25 | 上海传英信息技术有限公司 | A kind of method and device that communication terminal receives calls |
| CN108784694A (en) * | 2018-04-23 | 2018-11-13 | 京东方科技集团股份有限公司 | A kind of signal acquisition circuit, signal acquisition method and wearable device |
| US10145711B2 (en) | 2015-03-05 | 2018-12-04 | Apple Inc. | Optical encoder with direction-dependent optical properties having an optically anisotropic region to produce a first and a second light distribution |
| US10190891B1 (en) | 2014-07-16 | 2019-01-29 | Apple Inc. | Optical encoder for detecting rotational and axial movement |
| WO2019071913A1 (en) * | 2017-10-09 | 2019-04-18 | 华为技术有限公司 | Motion recognition method and device, and terminal |
| CN110677542A (en) * | 2019-08-31 | 2020-01-10 | 深圳市大拿科技有限公司 | Call control method and related product |
| US10551798B1 (en) | 2016-05-17 | 2020-02-04 | Apple Inc. | Rotatable crown for an electronic device |
| US10599101B2 (en) | 2014-09-02 | 2020-03-24 | Apple Inc. | Wearable electronic device |
| US10664074B2 (en) | 2017-06-19 | 2020-05-26 | Apple Inc. | Contact-sensitive crown for an electronic watch |
| CN111752137A (en) * | 2020-07-06 | 2020-10-09 | 诺百爱（杭州）科技有限责任公司 | Myoelectric smart watch, myoelectric control method of smart watch and electronic equipment |
| US10962935B1 (en) | 2017-07-18 | 2021-03-30 | Apple Inc. | Tri-axis force sensor |
| US11181863B2 (en) | 2018-08-24 | 2021-11-23 | Apple Inc. | Conductive cap for watch crown |
| US11194298B2 (en) | 2018-08-30 | 2021-12-07 | Apple Inc. | Crown assembly for an electronic watch |
| US11194299B1 (en) | 2019-02-12 | 2021-12-07 | Apple Inc. | Variable frictional feedback device for a digital crown of an electronic watch |
| US11269376B2 (en) | 2020-06-11 | 2022-03-08 | Apple Inc. | Electronic device |
| US11360440B2 (en) | 2018-06-25 | 2022-06-14 | Apple Inc. | Crown for an electronic watch |
| CN114995628A (en) * | 2021-10-13 | 2022-09-02 | 荣耀终端有限公司 | Method for recognizing air gesture and related equipment thereof |
| US11550268B2 (en) | 2020-06-02 | 2023-01-10 | Apple Inc. | Switch module for electronic crown assembly |
| US11561515B2 (en) | 2018-08-02 | 2023-01-24 | Apple Inc. | Crown for an electronic watch |
| US11796968B2 (en) | 2018-08-30 | 2023-10-24 | Apple Inc. | Crown assembly for an electronic watch |
| US11796961B2 (en) | 2018-08-24 | 2023-10-24 | Apple Inc. | Conductive cap for watch crown |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101741952A (en) * | 2009-12-10 | 2010-06-16 | 中国科学技术大学 | Mobile phone interactive system for blind and device thereof |
| WO2011055326A1 (en) * | 2009-11-04 | 2011-05-12 | Igal Firsov | Universal input/output human user interface |
| CN102349037A (en) * | 2009-03-13 | 2012-02-08 | 微软公司 | Wearable electromyography-based controllers for human-computer interface |
| CN103109249A (en) * | 2010-09-06 | 2013-05-15 | 三星电子株式会社 | Method of operating mobile device by recognizing user's gesture and mobile device using the method |
| CN103315737A (en) * | 2013-06-18 | 2013-09-25 | 上海交通大学 | Wearable multi-channel surface electromyogram signal collecting armlet |
-
2013
- 2013-12-18 CN CN201310700095.3A patent/CN103645804A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102349037A (en) * | 2009-03-13 | 2012-02-08 | 微软公司 | Wearable electromyography-based controllers for human-computer interface |
| WO2011055326A1 (en) * | 2009-11-04 | 2011-05-12 | Igal Firsov | Universal input/output human user interface |
| CN101741952A (en) * | 2009-12-10 | 2010-06-16 | 中国科学技术大学 | Mobile phone interactive system for blind and device thereof |
| CN103109249A (en) * | 2010-09-06 | 2013-05-15 | 三星电子株式会社 | Method of operating mobile device by recognizing user's gesture and mobile device using the method |
| CN103315737A (en) * | 2013-06-18 | 2013-09-25 | 上海交通大学 | Wearable multi-channel surface electromyogram signal collecting armlet |
Non-Patent Citations (1)
| Title |
|---|
| 张毅，罗元，徐晓东: "《移动机器人技术基础与制作》", 31 January 2013 * |
Cited By (112)
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|---|---|---|---|---|
| US9753436B2 (en) | 2013-06-11 | 2017-09-05 | Apple Inc. | Rotary input mechanism for an electronic device |
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| US11531306B2 (en) | 2013-06-11 | 2022-12-20 | Apple Inc. | Rotary input mechanism for an electronic device |
| US9886006B2 (en) | 2013-06-11 | 2018-02-06 | Apple Inc. | Rotary input mechanism for an electronic device |
| US10331082B2 (en) | 2013-08-09 | 2019-06-25 | Apple Inc. | Tactile switch for an electronic device |
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| US9836025B2 (en) | 2013-08-09 | 2017-12-05 | Apple Inc. | Tactile switch for an electronic device |
| US9971305B2 (en) | 2013-08-09 | 2018-05-15 | Apple Inc. | Tactile switch for an electronic device |
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| US10331081B2 (en) | 2013-08-09 | 2019-06-25 | Apple Inc. | Tactile switch for an electronic device |
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| CN104932671A (en) * | 2014-03-21 | 2015-09-23 | 纬创资通股份有限公司 | Control method and wearable electronic device |
| CN104978013A (en) * | 2014-04-08 | 2015-10-14 | 立普思股份有限公司 | Gesture recognition method of motion sensing detector |
| CN105284057A (en) * | 2014-05-20 | 2016-01-27 | 华为技术有限公司 | Method for gestures operating smart wearable device and smart wearable device |
| WO2015176228A1 (en) * | 2014-05-20 | 2015-11-26 | 华为技术有限公司 | Method for gestures operating smart wearable device and smart wearable device |
| CN105284057B (en) * | 2014-05-20 | 2019-11-29 | 华为技术有限公司 | The method and intelligent wearable device of gesture operation intelligent wearable device |
| CN110968157A (en) * | 2014-05-20 | 2020-04-07 | 华为技术有限公司 | Method for operating intelligent wearable device through gestures and intelligent wearable device |
| US11015960B2 (en) | 2014-07-16 | 2021-05-25 | Apple Inc. | Optical encoder for detecting crown movement |
| US10190891B1 (en) | 2014-07-16 | 2019-01-29 | Apple Inc. | Optical encoder for detecting rotational and axial movement |
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| US11221590B2 (en) | 2014-09-02 | 2022-01-11 | Apple Inc. | Wearable electronic device |
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| CN104461365A (en) * | 2014-12-11 | 2015-03-25 | 三星电子（中国）研发中心 | Touch method and device of terminal |
| CN104571517A (en) * | 2014-12-31 | 2015-04-29 | 杨皓 | Body movement based input and control method for electronic device |
| CN107258093A (en) * | 2015-03-03 | 2017-10-17 | 高通股份有限公司 | Manage the activity performed by multiple mobile devices arranged side by side |
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| US11002572B2 (en) | 2015-03-05 | 2021-05-11 | Apple Inc. | Optical encoder with direction-dependent optical properties comprising a spindle having an array of surface features defining a concave contour along a first direction and a convex contour along a second direction |
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| US10222756B2 (en) | 2015-04-24 | 2019-03-05 | Apple Inc. | Cover member for an input mechanism of an electronic device |
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| US9891651B2 (en) | 2016-02-27 | 2018-02-13 | Apple Inc. | Rotatable input mechanism having adjustable output |
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| CN110677542B (en) * | 2019-08-31 | 2021-12-21 | 深圳市大拿科技有限公司 | Call control method and related product |
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| US11635786B2 (en) | 2020-06-11 | 2023-04-25 | Apple Inc. | Electronic optical sensing device |
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| US11983035B2 (en) | 2020-06-11 | 2024-05-14 | Apple Inc. | Electronic device |
| CN111752137A (en) * | 2020-07-06 | 2020-10-09 | 诺百爱（杭州）科技有限责任公司 | Myoelectric smart watch, myoelectric control method of smart watch and electronic equipment |
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