Intelligent wheelchair dynamic gesture recognition method based on Kinect depth information

Abstract

The invention discloses an intelligent wheelchair dynamic gesture recognition method based on Kinect depth information and relates to the field of intelligent wheelchairs. A method of dynamic gesture recognition based on Kinect depth image information is adopted, and the intelligent wheelchair dynamic gesture recognition method has strong expansibility, can solve problems of influence on gesture detection caused by complex backgrounds, large-area skin color interference and the like and can accurately and effectively separates hands. Subsequently, a method combining Camshift and Kalman filtering is adopted to fast and effectively track gestures, a fused feature extraction method is adopted, and accuracy of dynamic gesture recognition is improved. When the intelligent wheelchair dynamic gesture recognition method is applied to an intelligent wheelchair control system based on dynamic gesture recognition, fast and accurate dynamic gesture command recognition can be achieved, the intelligent wheelchairs can be safely and stably controlled, and the natural and visual man-machine interaction mode between people and the intelligent wheelchairs is achieved.

Description

technical field [0001] The invention relates to the field of intelligent wheelchairs, in particular to a method for recognizing dynamic gestures of intelligent wheelchairs. Background technique [0002] The cognitive habits and forms that humans naturally communicate with the natural world are the development direction of human-computer interaction. Therefore, researchers are also working hard to make future terminals able to hear, see, speak, and feel. Simply put, human-computer interaction is the interaction between humans and computers. From keyboard to mouse control, then from voice to touch, and then to multi-touch, with the expansion of human-computer interaction mode users and continuous penetration into non-professional groups, human-computer interaction methods are increasingly returning to "natural" . In the transformation of science and technology, human-computer interaction technology has also made qualitative progress. In recent years, people's demand for hum...

AI Technical Summary

Problems solved by technology

In the traditional sense, smart wheelchairs use manual joysticks to control the movement. For users with upper limb weakness or hand tremors, it is difficult to manipulate hardware to control wheelchairs, and this method is not natural enough. The speed of human-computer interaction is also relatively slow

Can not meet people's urgent needs for friendly, convenient and intuitive human-computer interaction

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