US Patent Application 18222476. GESTURE RECOGNITION METHOD AND APPARATUS, ELECTRONIC DEVICE, READABLE STORAGE MEDIUM, AND CHIP simplified abstract

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GESTURE RECOGNITION METHOD AND APPARATUS, ELECTRONIC DEVICE, READABLE STORAGE MEDIUM, AND CHIP

Organization Name

VIVO MOBILE COMMUNICATION CO., LTD.


Inventor(s)

Hua Guo of Dongguan (CN)

Fangqin Mao of Dongguan (CN)

GESTURE RECOGNITION METHOD AND APPARATUS, ELECTRONIC DEVICE, READABLE STORAGE MEDIUM, AND CHIP - A simplified explanation of the abstract

This abstract first appeared for US patent application 18222476 titled 'GESTURE RECOGNITION METHOD AND APPARATUS, ELECTRONIC DEVICE, READABLE STORAGE MEDIUM, AND CHIP

Simplified Explanation

The patent application describes a method for recognizing hand gestures using image processing techniques.

  • The method involves obtaining a sub-image of a hand region in an image and determining the position of multiple feature points within the hand region.
  • A first position feature vector is then calculated based on the relative position of each feature point to the others.
  • A second position feature vector is also calculated, representing the absolute position of the feature points within the hand region.
  • The recognition result of the hand gesture is then outputted based on the first and second position feature vectors.


Original Abstract Submitted

A gesture recognition method is provided, including: obtaining a sub-image of a hand region in a target image, and determining multiple pieces of feature point position information corresponding to multiple feature points in the sub-image of the hand region; determining a first position feature vector based on the multiple pieces of feature point position information, where the first position feature vector represents a relative position relationship of any one of the multiple feature points relative to remaining feature points in the multiple feature points; determining a second position feature vector based on the multiple pieces of feature point position information, where the second position feature vector represents an absolute position relationship of the multiple feature points in the sub-image of the hand region; and outputting a recognition result of the sub-image of the hand region based on the first position feature vector and the second position feature vector.

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