This thesis presents two accelerometer-based applications : a fall detection system and a gesture recognition system. 本论文设计了两种有关于线性加速度感测器的应用&「跌倒侦测系统」和「手势移动轨迹辨识系统」。
For performance evaluation, this paper applied proposed method to a real-time hand gesture recognition system. 最后将算法应用到了一个实时手势识别系统(GRS)来验证其性能。
The experiment shows that the gesture recognition system based on fusion model have a higher recognition rate and better real time character. 实验表明应用融合模型建立的手势识别系统(GRS)有较高的识别率和较强的实时性。
A Gesture Recognition System(GRS) Used on Robot Vision 适用于机器人视觉的手势识别系统(GRS)
Hand gesture is an important and natural human-to-human interface in daily life. Hand gesture recognition system is applied to HCI ( Human Computer Interface ) to realize direct and natural communication, which is the development trend and fundamental object of gesture recognition. 手势是人类日常生活中人与人之间最自然的一种交互方式,将手势识别系统(GRS)用于人机接口,从而实现直接的、自然的人机交互方式,是手势识别的发展趋势和基本目标。