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A gesture recognition method and device

A gesture recognition and gesture technology, applied in character and pattern recognition, instruments, computing, etc., can solve the problems of reduced recognition rate and no support for hand rotation without obvious motion trajectories.

Active Publication Date: 2018-10-16
SAMSUNG ELECTRONICS CHINA R&D CENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The current gesture recognition technology has a higher recognition rate when recognizing fewer gesture types, and the recognition rate will drop significantly when recognizing more gestures; moreover, it mainly recognizes hand movement trajectories, and does not support no obvious Gestures such as hand rotation of the motion track

Method used

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  • A gesture recognition method and device
  • A gesture recognition method and device
  • A gesture recognition method and device

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Experimental program
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Embodiment 1

[0047] This embodiment introduces an exemplary system for running the gesture recognition method proposed by the present invention, such as figure 2 As a schematic diagram of the system structure, the system implements an example of a third-party application program using the present invention for human-computer interaction.

[0048] The system acquires the acceleration data sequence and angular velocity data sequence of the user's gesture operation through a device with built-in acceleration and angular velocity sensors (ie data recognition unit 210), and preprocesses the acceleration data sequence and angular velocity data sequence via Bluetooth or its transmission to other connected devices Module 220;

[0049] The preprocessing module 220 performs denoising and smoothing processing on the acquired acceleration data sequence and angular velocity data sequence, normalizing the denoising and smoothing result, and then performing the dimension standardization operation on the norma...

Embodiment 2

[0053] This embodiment introduces the process of preprocessing the original acceleration data sequence and angular velocity data sequence by the preprocessing module 220. In this embodiment, the original data sequence of a user gesture includes six, denoted as AccSeq_ x ,AccSeq_ y ,AccSeq_ z ,AngSeq_ x ,AngSeq_ y ,AngSeq_ z ; Among them, AccSeq represents the acceleration data sequence, AngSeq represents the angular velocity data sequence, and the subscripts x, y, and z respectively represent the three direction axes of the sensor.

[0054] Such as image 3 The implementation flowchart of this embodiment includes the following steps:

[0055] Step 301: Denoising and smoothing. This embodiment adopts mean filtering, and takes a sliding window with a width of 5 as the center point area, and uses the mean value of the data in the window as the updated value of the center point to perform mean filtering. The calculation formula is:

[0056] among them,

[0057] Value i+j Represents the...

Embodiment 3

[0081] This embodiment introduces the process of using the recognition module 230 to perform gesture recognition on the feature vector obtained after preprocessing. The identification module 230 includes a predefined classifier 231 and a custom classifier 232 set by the user. Firstly, the predefined classifier 231 performs gesture recognition. When the predefined classifier 231 recognizes the gesture input by the user as one of the 38 predefined gestures, exit the module and return to the third-party application or the result of the user recognition; When the predefined classifier 231 cannot be identified or is recognized as a negative sample, the custom classifier 232 will continue to identify whether the current input gesture is a user-defined gesture. For detailed operations, see Figure 5 ,Proceed as follows.

[0082] Step 501: The predefined classifier 231 recognizes the feature vector of the user input gesture. In consideration of user experience, this embodiment may use a...

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Abstract

The present invention proposes a gesture recognition method and device, wherein the method includes: acquiring a data sequence of a user gesture, the data sequence including an acceleration data sequence and an angular velocity data sequence; preprocessing the data sequence to obtain a feature vector; The set predefined classifier identifies the feature vector, and obtains the user gesture corresponding to the feature vector. The recognition rate of the invention is high, and gestures based on wrist movement and hand rotation gestures can be recognized.

Description

Technical field [0001] The invention relates to the technical field of pattern recognition and artificial intelligence, in particular to a gesture recognition method and device. Background technique [0002] Traditional gesture recognition technology is mainly divided into computer vision-based gesture recognition and data glove gesture recognition. Among them, the algorithm complexity of computer vision-based gesture recognition technology is generally high, and it is extremely vulnerable to environmental factors, and the recognition rate is difficult to make people Satisfaction: Although the recognition rate of gesture recognition technology based on data gloves is better, it has been gradually abandoned by researchers due to its expensive equipment, inconvenient carrying, and poor user experience. [0003] With the continuous development of computer hardware, more and more technicians have shifted the research direction of gesture recognition to sensors. In particular, gesture r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/66
CPCG06F3/017G06F18/2413
Inventor 陈涛蒋文明李敏李力范炜
Owner SAMSUNG ELECTRONICS CHINA R&D CENT