RESEARCH AND DEVELOPMENT OF DSP-BASED FACE RECOGNITION SYSTEM FOR ROBOTIC REHABILITATION NURSING BEDS

Ming Xing, Wushan Cheng
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Abstract

This article describes the development of DSP as the core of the face recognition system, on the basis of understanding the background, significance and current research situation at home and abroad of face recognition issue, having a in-depth study to face detection, Image preprocessing, feature extraction face facial structure, facial expression feature extraction, classification and other issues during face recognition and have achieved research and development of DSP-based face recognition system for robotic rehabilitation nursing beds. The system uses a fixed-point DSP TMS320DM642 as a central processing unit, with a strong processing performance, high flexibility and programmability.
基于dsp的机器人康复护理床人脸识别系统研究与开发
本文介绍了以DSP为核心的人脸识别系统的开发,在了解人脸识别问题的背景、意义和国内外研究现状的基础上,对人脸检测、图像预处理、人脸特征提取、人脸结构特征提取、人脸表情特征提取、实现了基于dsp的机器人康复护理床人脸识别系统的研究与开发。该系统采用定点DSP TMS320DM642作为中央处理单元,具有较强的处理性能、较高的灵活性和可编程性。
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