WO2018018598A1 - 一种指令识别方法 - Google Patents
一种指令识别方法 Download PDFInfo
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- WO2018018598A1 WO2018018598A1 PCT/CN2016/092242 CN2016092242W WO2018018598A1 WO 2018018598 A1 WO2018018598 A1 WO 2018018598A1 CN 2016092242 W CN2016092242 W CN 2016092242W WO 2018018598 A1 WO2018018598 A1 WO 2018018598A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
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- the present invention relates to the field of data processing and transmission technologies, and in particular, to an instruction identification method.
- gesture commands Due to the popularity and promotion of large-screen touch control devices, and more and more functional modules such as electrical devices that need to be controlled, gesture commands have become a convenient and fast operation instruction.
- the existing method for implementing the gesture instruction includes recognizing the instruction content of the gesture by light or sound, etc., such as a gesture recognition method by infrared induction disclosed in Patent Application No. 201511013254.8 and a voice recognition method disclosed in Patent Application No. 201210435804.5
- the method and device for gestures can only perform gesture command control on a function module such as an electrical device, and the operating environment is limited and difficult to promote.
- the technical problem to be solved by the present invention is to provide an instruction recognition method.
- An instruction identification method comprising:
- the gesture instruction acquisition module collects a gesture instruction image of the user, and sends the gesture instruction image;
- the gesture instruction analysis and recognition module receives the gesture instruction image, analyzes and recognizes the gesture instruction image, obtains a gesture instruction content, and sends the obtained gesture instruction content;
- the controlled function module receives the gesture instruction content and works according to the gesture instruction content.
- the gesture instruction collection module includes:
- the camera is used for capturing the user's gesture instruction image by shooting, and splicing the captured gesture image of the user by shooting according to a certain preset frequency in time sequence to form a complete set of gesture instruction images;
- a gesture instruction image sending unit configured to send the formed complete set of gesture instruction images.
- the gesture instruction analysis and recognition module includes: a control circuit board;
- the control circuit board includes:
- a storage module configured to store a gesture instruction image of the user, to form a gesture instruction image database, where the gesture instruction image database includes a gesture motion track for controlling the controlled function module;
- a microprocessor for receiving the formed complete set of gesture instruction images, analyzing and recognizing the formed complete set of gesture instruction images, and forming the complete set of gesture instruction images in time sequence And splicing according to a preset frequency, and filtering the spliced image to form a coherent gesture motion trajectory, and comparing the contiguous gesture motion trajectory with the storage module
- the gesture instruction image database obtains the gesture instruction content according to the contrast degree, and sends the obtained gesture instruction content;
- a control button configured to reset a gesture instruction image database formed by the storage module according to a user requirement.
- the gesture instruction analysis and recognition module is disposed on the controlled function module; and the obtained gesture instruction content is sent to the at least one controlled function module by using a wireless communication module.
- the gesture instruction recognition method includes: the gesture instruction acquisition module collects a gesture instruction image of the user, and sends the gesture instruction image; the gesture instruction analysis and recognition module receives the gesture instruction image, and analyzes and recognizes the gesture instruction image to obtain Gesture the instruction content, and send the obtained gesture instruction content; the controlled function module receives the gesture instruction content, and works according to the gesture instruction content, thereby achieving control of the function module, and not only can control one function module, It is also possible to control multiple function modules at the same time, which is easy to operate and easy to promote.
- FIG. 1 is a schematic diagram of a gesture instruction recognition apparatus according to the present invention.
- FIG. 2 is a schematic diagram of a gesture instruction recognition method according to the present invention.
- the present invention provides an instruction recognition method, which is applied to the field of data processing and transmission technology.
- the gesture instruction recognition apparatus of the present invention includes: a gesture instruction acquisition module, configured to collect a gesture instruction image of a user, and send the gesture instruction image; An analysis and recognition module, configured to receive the gesture instruction image, analyze and recognize the gesture instruction image, obtain a gesture instruction content, and send the obtained gesture instruction content; the controlled function module is configured to receive the gesture instruction content, and according to the The content of the gesture instruction works, thereby realizing the control of the function module, not only can control one function module, but also can control multiple function modules at the same time, and the operation is simple and easy to popularize.
- the invention provides a gesture instruction recognition device.
- FIG. 1 is a schematic diagram of a gesture instruction recognition apparatus according to the present invention.
- the gesture instruction recognition apparatus 10 includes a gesture instruction acquisition module 101, a gesture instruction analysis and recognition module 102, and a controlled function module 103.
- the gesture instruction acquisition module 101 is configured to collect a gesture instruction image of the user, and send the gesture instruction image;
- the gesture instruction analysis and recognition module 102 is configured to receive the gesture instruction image, analyze and recognize the gesture instruction image, obtain a gesture instruction content, and send the obtained gesture instruction content;
- the controlled function module 103 is configured to receive the content of the gesture instruction, and work according to the content of the gesture instruction.
- the gesture instruction acquisition module 101 includes: a camera 1011, a gesture instruction image sending unit 1012;
- the camera 1011 is configured to capture a gesture instruction image of the user by photographing, and splicing the gesture instruction images of the user captured by the shooting according to a predetermined preset frequency in time sequence to form a complete gesture instruction image;
- the gesture instruction image transmitting unit 1012 is configured to send the formed complete set of gesture instruction images.
- the gesture command analysis and identification module 102 includes: a control circuit board 1021;
- the control circuit board 1021 includes a storage module 10211 and a microprocessor 10212;
- the storage module 10211 is configured to store a gesture instruction image of the user, and form a gesture instruction image database, where the gesture instruction image database includes a gesture motion track for controlling the controlled function module 103;
- the microprocessor 10212 is configured to receive the formed complete set of gesture instruction images, analyze and identify the formed complete set of gesture instruction images, and follow the chronological order to form the complete set of gesture instruction images according to a certain time.
- the preset frequency is spliced together, and the spliced image is filtered to form a filtered gesture motion trajectory, and the contiguous gesture motion trajectory and the gesture instruction image formed in the storage module 10211 are compared.
- the database obtains the content of the gesture instruction according to the conformity of the comparison, and sends the content of the obtained gesture instruction.
- the control circuit board 1021 may further include: a control button (not shown) for resetting the gesture instruction image database formed by the storage module 10211 according to the user's needs, and resetting the image into a gesture instruction image database suitable for the user's preference. .
- the gesture command analysis and recognition module 102 can be disposed on the controlled function module 103 as a common control circuit system that matches only one functional device; or can be used as an independent control system through a wireless communication module and multiple functions.
- the device is connected to send the user's gesture instruction image to the controlled function module 103 through the wireless communication module, thereby controlling the operation of the controlled function module 103; and may also be disposed on the gesture instruction acquisition module 101.
- the gesture instruction acquisition module 101 includes a camera 1011 for acquiring a gesture image. After capturing the gesture image of the user, the camera 1011 splices the captured image according to a certain frequency in time sequence to form a complete image. After the acquisition is completed, the collection module sends the complete library of gesture actions to the gesture instruction analysis and recognition module 102 for analysis and recognition.
- the gesture instruction analysis and identification module 102 includes a control circuit board 1021.
- the control circuit board 1021 includes a storage module 10211 and a microprocessor 10212. After receiving the formed complete set of gesture instruction images, the storage module 10211 passes the time. The sequence is stitched according to a fixed frequency, and the image is filtered to form a coherent gesture motion track; in the storage module 10211, each corresponding control function module has an independent database.
- gesture motion trajectories corresponding to the respective control commands of the function module, and these instructions are all formed by splicing a frame of picture images, after receiving the complete set of gesture instruction images formed by the After comparing with the image of the gesture action instruction in the storage module 10211 in the frame picture, the content of the gesture instruction of the user is determined according to the conformance of the comparison, and the content of the gesture instruction is obtained.
- the gesture instruction analysis and recognition module 102 After the gesture instruction analysis and recognition module 102 receives the gesture instruction of the user, the image in the gesture instruction track is compared with the gesture instruction image information stored in the storage module 10211, and the user in the gesture instruction analysis and recognition module 102 determines the user. After the instruction is a valid instruction, if it is determined that there are more than two command track trajectories in the storage module and the stored gesture command trajectory, when the captured gesture trajectory and all stored gestures are not consistent When the preset value is 70%, it is determined that the captured gesture instruction is an invalid instruction; when the coincidence degree of the captured gesture track and the stored gesture track exceeds 70%, the gesture instruction is determined as a valid instruction; When the compliance with the user's gesture instruction track exceeds the preset value, the highest compliance value is selected as the output instruction.
- the invention also provides a gesture instruction recognition method.
- FIG. 2 is a schematic diagram of a gesture instruction recognition method according to the present invention.
- the gesture instruction recognition method of the present invention includes:
- the gesture instruction collection module collects a gesture instruction image of the user, and sends the gesture instruction image.
- the gesture instruction analysis and recognition module receives the gesture instruction image, analyzes and recognizes the gesture instruction image, obtains a gesture instruction content, and sends the obtained gesture instruction content.
- the controlled function module receives the content of the gesture instruction, and works according to the content of the gesture instruction.
- the structure, function, and the like of the gesture instruction acquisition module are the same as those of the gesture instruction acquisition module 101 shown in FIG. 1 , and are not described herein again.
- the structure, function, and the like of the gesture command analysis and recognition module are the same as those of the gesture command analysis and recognition module 102 shown in FIG. 1 , and are not described herein again.
- controlled function module The structure, function, and the like of the controlled function module are the same as those of the controlled function module 103 shown in FIG. 1 and will not be described herein.
- the gesture instruction recognition apparatus 10 of the present invention includes: a gesture instruction acquisition module 101, configured to collect a gesture instruction image of a user, and send the gesture instruction image; the gesture instruction analysis and recognition module 102 is configured to receive the gesture instruction image, and The gesture instruction image is analyzed and recognized, the gesture instruction content is obtained, and the obtained gesture instruction content is sent;
- the controlled function module 103 is configured to receive the content of the gesture instruction, and perform work according to the content of the gesture instruction, so as to achieve control of the function module, not only can control one function module, but also can perform multiple function modules simultaneously. Control, easy to operate, easy to promote.
- the gesture instruction recognition method includes: the gesture instruction acquisition module collects a gesture instruction image of the user, and sends the gesture instruction image; the gesture instruction analysis and recognition module receives the gesture instruction image, and analyzes and recognizes the gesture instruction image to obtain Gesture the instruction content, and send the obtained gesture instruction content; the controlled function module receives the gesture instruction content, and works according to the gesture instruction content, thereby achieving control of the function module, and not only can control one function module, It is also possible to control multiple function modules at the same time, which is easy to operate and easy to promote.
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Abstract
一种指令识别装置，包括手势指令采集模块，用于采集用户的手势指令图像，并发送该手势指令图像（S21）；手势指令分析识别模块，用于接收该手势指令图像，对该手势指令图像进行分析识别，得到手势指令内容，并发送该得到的手势指令内容（S22）；被控制功能模块，用于接收该手势指令内容，并根据该手势指令内容进行工作（S23）。上述装置能够实现对功能模块的控制，不仅能对一个功能模块进行控制，还可以同时对多个功能模块进行控制，操作简单，易于推广。
Description
技术领域
本发明涉及数据处理及传输技术领域，尤其涉及一种指令识别方法。
背景技术
由于大屏幕触摸控制设备的普及和推广，以及越来越多的功能模块如电器设备需要控制，手势指令已经成为一种方便快捷的操作指令。现有实现手势指令的方式包括通过光或者声音等来识别手势的指令内容，如专利申请号为201511013254.8公开的一种通过红外感应的手势识别方法和专利申请号为201210435804.5公开的一种通过声音识别手势的方法和装置，只能对一个功能模块如电器设备进行手势指令控制，而且操作环境有限，不易推广。
发明内容
本发明要解决的技术问题是提供一种指令识别方法。
一种指令识别方法，包括：
手势指令采集模块采集用户的手势指令图像，并发送所述手势指令图像；
手势指令分析识别模块接收所述手势指令图像，对所述手势指令图像进行分析识别，得到手势指令内容，并发送所述得到的手势指令内容；
被控制功能模块接收所述手势指令内容，并根据所述手势指令内容进行工作。
其中，所述手势指令采集模块包括：
摄像头，用于通过拍摄，采集用户的手势指令图像，按照时间顺序把通过拍摄，采集到的用户的手势指令图像按照一定的预设的频率拼接起来，形成一套完整的手势指令图像；
手势指令图像发送单元，用于发送所述形成的一套完整的手势指令图像。
其中，所述手势指令分析识别模块包括：控制电路板；
所述控制电路板，包括:
存储模块，用于存储用户的手势指令图像，形成手势指令图像数据库，所述手势指令图像数据库包括控制所述被控制功能模块的手势动作轨迹；
微处理器，用于接收所述形成的一套完整的手势指令图像，对所述形成的一套完整的手势指令图像进行分析识别，按照时间顺序把所述形成的一套完整的手势指令图像按照预设的频率拼接起来，并对所述拼接后的图像进行滤波处理，使经滤波处理的图像形成连贯的手势动作轨迹，并对比所述连贯的手势动作轨迹与所述存储模块中形成的手势指令图像数据库，根据对比的符合度，得到手势指令内容，并发送所述得到的手势指令内容；
控制按键，用于根据用户需要，重新设置所述存储模块所形成的手势指令图像数据库。
其中，所述手势指令分析识别模块，设置在所述被控制功能模块上；且通过无线通讯模块发送所述得到的手势指令内容到至少一个被控制功能模块。
本发明提供的手势指令识别方法，包括：手势指令采集模块采集用户的手势指令图像，并发送该手势指令图像；手势指令分析识别模块接收该手势指令图像，对该手势指令图像进行分析识别，得到手势指令内容，并发送该得到的手势指令内容；被控制功能模块接收该手势指令内容，并根据该手势指令内容进行工作，从而达到实现对功能模块的控制，不仅能对一个功能模块进行控制，还可以同时对多个功能模块进行控制，操作简单，易于推广。
附图说明
图1，为本发明手势指令识别装置的示意图；
图2，为本发明手势指令识别方法的示意图。
具体实施方式
本发明提供一种指令识别方法，应用于数据处理及传输技术领域，本发明手势指令识别装置，包括：手势指令采集模块，用于采集用户的手势指令图像，并发送该手势指令图像；手势指令分析识别模块，用于接收该手势指令图像，对该手势指令图像进行分析识别，得到手势指令内容，并发送该得到的手势指令内容；被控制功能模块，用于接收该手势指令内容，并根据该手势指令内容进行工作，从而达到实现对功能模块的控制，不仅能对一个功能模块进行控制，还可以同时对多个功能模块进行控制，操作简单，易于推广。
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明提供一种手势指令识别装置。
请参见图1，图1为本发明手势指令识别装置的示意图，本发明手势指令识别装置10，包括：手势指令采集模块101、手势指令分析识别模块102、被控制功能模块103；
手势指令采集模块101，用于采集用户的手势指令图像，并发送该手势指令图像；
手势指令分析识别模块102，用于接收该手势指令图像，对该手势指令图像进行分析识别，得到手势指令内容，并发送该得到的手势指令内容；
被控制功能模块103，用于接收该手势指令内容，并根据该手势指令内容进行工作。
其中，手势指令采集模块101，包括：摄像头1011、手势指令图像发送单元1012；
摄像头1011，用于通过拍摄，采集用户的手势指令图像，按照时间顺序把通过拍摄，采集到的用户的手势指令图像按照一定的预设的频率拼接起来，形成一套完整的手势指令图像；
手势指令图像发送单元1012，用于发送该形成的一套完整的手势指令图像。
其中，手势指令分析识别模块102，包括：控制电路板1021；
控制电路板1021，包括存储模块10211、微处理器10212；
存储模块10211，用于存储用户的手势指令图像，形成手势指令图像数据库，该手势指令图像数据库包括控制被控制功能模块103的手势动作轨迹；
微处理器10212，用于接收该形成的一套完整的手势指令图像，对该形成的一套完整的手势指令图像进行分析识别，按照时间顺序把该形成的一套完整的手势指令图像按照一定的预设的频率拼接起来，并对该拼接后的图像进行滤波处理，使经滤波处理的图像形成连贯的手势动作轨迹，并对比该连贯的手势动作轨迹与存储模块10211中形成的手势指令图像数据库，根据对比的符合度，得到手势指令内容，并发送该得到的手势指令内容。
其中，控制电路板1021，还可以包括：控制按键（图中未标识），用于根据用户需要，重新设置存储模块10211所形成的手势指令图像数据库，重新设置成适合用户喜好的手势指令图像数据库。
其中，手势指令分析识别模块102，可以设置在被控制功能模块103上，作为只与一个功能设备匹配的共用一个控制电路系统；也可以作为一个独立的控制系统，通过无线通讯模块与多个功能设备相连接，通过无线通讯模块把用户的手势指令图像发送到被控制功能模块103，进而控制被控制功能模块103的工作；还可以设置在手势指令采集模块101上。
所述手势指令采集模块101包括一个用于采集手势图像的摄像头1011，摄像头1011通过拍摄下用户的手势图片后，按照时间顺序把所拍摄到的图像按照一定的频率拼接起来，进而形成一个完整的手势动作图库，采集模块在采集完成后，把手势动作的完整的图库发送到手势指令分析识别模块102上进行分析识别。
手势指令分析识别模块102包括控制电路板1021，控制电路板1021包括存储模块10211、微处理器10212，微处理器10212在接收到该形成的一套完整的手势指令图像后，存储模块10211通过时间顺序按照固定的频率把所拍摄到的图片拼接起来，并对图像进行滤波处理，使图片形成一个连贯的手势动作轨迹；存储模块10211中，每个对应控制的功能模块均有一个独立的数据库，在其数据库中，有与功能模块各个控制指令相对应的手势动作轨迹，并且这些指令均由一帧帧图片拼接而成，在接收到该形成的一套完整的手势指令图像后，通过在每帧图片中与存储模块10211中的手势动作指令的图像进行对比后，根据对比的符合度来判断用户的手势指令内容，得到手势指令内容。
当手势指令分析识别模块102接收到用户的手势指令后，对手势指令轨迹中的图像与存储模块10211中所存储的手势指令图像信息进行对比，在所拍在手势指令分析识别模块102判断出用户指令为有效指令后，如果判断出存储模块中有两个以上的指令轨摄的用户手势轨迹与所存储的手势指令轨迹中，当所拍摄的手势轨迹与所存储的所有手势的符合度均达不到预设值如70%时，则判断所拍摄到的手势指令为无效指令；当所拍摄到的手势轨迹与所储存的手势轨迹的符合度超过70%时，则判断手势指令为有效指令；轨迹与用户的手势指令轨迹符合度超过预设值时，选取符合度最高值作为输出指令。
本发明还提供一种手势指令识别方法。
请参见图2，图2为本发明手势指令识别方法的示意图，本发明手势指令识别方法，包括：
S21、手势指令采集模块采集用户的手势指令图像，并发送该手势指令图像；
S22、手势指令分析识别模块接收该手势指令图像，对该手势指令图像进行分析识别，得到手势指令内容，并发送该得到的手势指令内容；
S23、被控制功能模块接收该手势指令内容，并根据该手势指令内容进行工作。
其中，手势指令采集模块，其结构、功能等与图1所示的手势指令采集模块101的结构、功能等相同，此处不再赘述。
其中，手势指令分析识别模块，其结构、功能等与图1所示的手势指令分析识别模块102的结构、功能等相同，此处不再赘述。
其中，被控制功能模块，其结构、功能等与图1所示的被控制功能模块103的结构、功能等相同，此处不再赘述。
本发明提供的手势指令识别装置10，包括：手势指令采集模块101，用于采集用户的手势指令图像，并发送该手势指令图像；手势指令分析识别模块102，用于接收该手势指令图像，对该手势指令图像进行分析识别，得到手势指令内容，并发送该得到的手势指令内容；
被控制功能模块103，用于接收该手势指令内容，并根据该手势指令内容进行工作，从而达到实现对功能模块的控制，不仅能对一个功能模块进行控制，还可以同时对多个功能模块进行控制，操作简单，易于推广。
本发明提供的手势指令识别方法，包括：手势指令采集模块采集用户的手势指令图像，并发送该手势指令图像；手势指令分析识别模块接收该手势指令图像，对该手势指令图像进行分析识别，得到手势指令内容，并发送该得到的手势指令内容；被控制功能模块接收该手势指令内容，并根据该手势指令内容进行工作，从而达到实现对功能模块的控制，不仅能对一个功能模块进行控制，还可以同时对多个功能模块进行控制，操作简单，易于推广。
需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或者操作之间存在任何这种实际的关系或者顺序。而且，术语“包含”、“包括”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系统要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个、、、、、、”限定的要素，并不排除在包括所述要素的过程、方法、物品、设备或者装置中还存在另外的相同要素。
对于本发明指令识别方法，实现的形式是多种多样的。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
Claims (4)
- 一种指令识别方法，其特征在于，包括：手势指令采集模块采集用户的手势指令图像，并发送所述手势指令图像；手势指令分析识别模块接收所述手势指令图像，对所述手势指令图像进行分析识别，得到手势指令内容，并发送所述得到的手势指令内容；被控制功能模块接收所述手势指令内容，并根据所述手势指令内容进行工作。
- 如权利要求1所述的手势指令识别方法，其特征在于，所述手势指令采集模块包括：摄像头，用于通过拍摄，采集用户的手势指令图像，按照时间顺序把通过拍摄，采集到的用户的手势指令图像按照一定的预设的频率拼接起来，形成一套完整的手势指令图像；手势指令图像发送单元，用于发送所述形成的一套完整的手势指令图像。
- 如权利要求2所述的手势指令识别方法，其特征在于，所述手势指令分析识别模块包括：控制电路板；所述控制电路板，包括:存储模块，用于存储用户的手势指令图像，形成手势指令图像数据库，所述手势指令图像数据库包括控制所述被控制功能模块的手势动作轨迹；微处理器，用于接收所述形成的一套完整的手势指令图像，对所述形成的一套完整的手势指令图像进行分析识别，按照时间顺序把所述形成的一套完整的手势指令图像按照预设的频率拼接起来，并对所述拼接后的图像进行滤波处理，使经滤波处理的图像形成连贯的手势动作轨迹，并对比所述连贯的手势动作轨迹与所述存储模块中形成的手势指令图像数据库，根据对比的符合度，得到手势指令内容，并发送所述得到的手势指令内容；控制按键，用于根据用户需要，重新设置所述存储模块所形成的手势指令图像数据库。
- 如权利要求3所述的手势指令识别方法，其特征在于，所述手势指令分析识别模块，设置在所述被控制功能模块上；且通过无线通讯模块发送所述得到的手势指令内容到至少一个被控制功能模块。
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