殘疾人助理

        本作品設計了一種基于嵌入式技術的智能型殘疾人輪椅，此系統以Intel core duo 2微處理器為核心，以Window XP為開發平臺，運用語音識別與合成、圖像處理與特征提取、基于代數算法神經網絡的模式識別等技術，實現了智能輪椅的語音控制與交互、障礙物檢測、任意物體識別等功能。該智能輪椅使得殘疾人可以通過語音來控制輪椅的運動狀態；使用激光測距，使得智能輪椅在規定距離內有效避開障礙物；通過基于紋理的圖像分割算法對圖像進行區域分割，實現對分割區域顏色特征和形狀特征的提取。再將提取的顏色特征和形狀特征作為神經網絡輸入，完成對物體的識別。給嚴重視力障礙的人“看見”物體帶來一線希望。 

        其中所使用的圖像分割算法是應用自創的基于紋理特征和邊緣特征的圖像分割算法，較大精度地將圖像中的物體分割出來并對每個區域進行顏色特征和形狀特征的提取。

        運用一門前沿的計算科學——人工神經網絡來實現模式識別，將提取到的圖像區域的顏色特征和形狀特征當作神經網絡的輸入，從而識別物體。在算法的選擇上，摒棄了在應用中占統治地位的BP神經網絡算法，將近年提出的基于代數算法的神經網絡理論成功的用程序實現，并且證明了這個理論的可行性和優越性，是一次大膽而且成功的嘗試。

        該智能輪椅給殘疾人用戶帶來行動上的更大靈活性，具有較高的實用價值和廣闊的應用前景。

An idea of intelligent wheelchair based on embedded technology is proposed. Based on the microprocessor of Intel core duo 2 and the development platform of Window XP, and using the technology of speech recognition and synthesis, image processing and characteristics extraction, and pattern recognition based on algebraic algorithm for neural network, the intelligent wheelchair completes the functions of speech control and interaction, obstacle detection, object recognition and so on. This intelligent wheelchair makes the disabled people control the move statement through the speech control technology, and completes the object recognition function to ‘see’ the objects for the disabled.

The image partition algorithm used in this system is based on the grain characteristics and edge characteristics, and is designed by ourselves. It can divide up the object and distill the color and figure characteristics of every part.

This system uses artificial neural network which is a kind of foreland numeration to realize pattern recognition. It viewed the color and shape characters of the sampled image area as input signal of artificial neural network to recognize objects. Although the BP neural network algorithm dominates the applications, we choose the recently proposed neural network based on algebraic algorithm, realized it in our program and verified the feasibility and advantage of this algorithm. It is a brave and successful experiment. 

This brings great convenience for the disabled and has promising future in applications as well as high practical value.

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