关键词: 手势分割, 空间特征向量, 手势识别, 深度信息, 红外信息, 复杂环境

Abstract: Aiming at the problems existed in hand gestures recognition in complex environment, a hand gestures recognition approach fused depth information with infrared information is proposed in this paper. Firstly, depth information captured by Kinect is applied to segment the dynamic hand gesture, then, using infrared image to repair the hand gesture image. It solves the problem of real-time gesture segmentation and low recognition rate of gesture recognition using distribution feature of hand, when there is a defect or face interference in gesture segmentation region. The experimental results show that the proposed method is not sensitive to ambient light, and can identify gestures with small discrimination, and can recognize gesture of rotation, scaling, translation with strong robustness. For those gestures with large discrimination, the recognition rate is up to100%.

Key words: hand gesture segmentation, space eigenvector, hand gesture recognition, depth information, infrared information, complex background