Human-computer interaction system and method of intelligent wheelchair based on head posture
A human-computer interaction and wheelchair technology, applied in the human-computer interaction system of intelligent wheelchairs and its interaction field, can solve the problems of low detection efficiency, failure to mention, control wheelchairs, etc.
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[0042] Preferred embodiments of the present invention will be described in detail below.
[0043] In the human-computer interaction of the head gesture control intelligent wheelchair, the lip classifier is first trained by the Adaboost algorithm, and then the classifier is called to detect the lips, and the control of the head gesture control wheelchair is obtained by comparing the lip window with a fixed window instructions, and then control the movement of the smart wheelchair. Among them, the Adaboost algorithm is based on the structure of the Attentional Cascade algorithm. Its basic principle is to first scale the original image through multiple layers, and then scan all the scaled images with fixed-size sub-windows to obtain a large number of sub-window images. , each sub-window image needs to pass through a multi-layer structure classifier trained and screened by the Adaboost learning training method to judge whether these sub-window images are target images, and then ob...
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