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提出了一种新颖的基于唇形的智能轮椅人机交互方法。该方法通过定义不同的唇形来控制智能轮椅的运动,使用者在噪杂环境中也能进行和谐、方便地人机交互。首先使用adaboost算法在视频帧中实时、准确地检测唇部,然后通过离散余弦变换(Discrete Cosine Transform DCT)提取唇部特征。针对经DCT变换后特征矢量维数较高以及支持向量机(Support Vector Machine SVM)在解决小样本、非线性及高维模式识别中表现出的优势,最后使用SVM进行唇形的识别,并将识别结果转换成控制指令来控制轮椅的运动。实验证明,该方法能有效地识别不同唇形并可用于实时控制智能轮椅的运动。
A novel lip-based method for human-computer interaction in wheelchairs is proposed. The method controls the movement of a smart wheelchair by defining different lip shapes, and the user can also perform man-machine interaction conveniently and harmoniously in a noisy environment. First, we use adaboost algorithm to detect the lip in the video frame in real time and accurately, and then extract the lip features by discrete cosine transform (DCT). Aiming at the advantages of high dimensionality of feature vector after DCT transform and support vector machine (SVM) in solving small sample, nonlinear and high-dimensional pattern recognition, the lip shape recognition using SVM The recognition results are converted into control instructions to control wheelchair movement. Experiments show that this method can effectively recognize different lip shapes and can be used to control the movement of smart wheelchair in real time.