基于液态金属复合材料传感手环的手势意图识别系统

Gesture Intention recognition system based on liquid metal composites⁃enabled sensor bracelet

手势意图识别是人机交互领域的热门研究方向,然而现有手势的识别系统大多基于肌电信号,肌电信号不可避免的信号串扰、衰减、信噪比低等问题严重影响了手势识别的准确率.为了解决这一问题,研发了基于液态金属复合材料传感手环的可穿戴手势识别系统,液态金属复合材料灵敏的压阻效应使设计的传感手环获取的传感信号表现出稳定、灵敏度高、噪声低等优异特性.基于此传感信号的手势识别系统由数据采集和模式识别两个部分组成,其平均离线识别准确率高达97.19%.更重要的是,该系统无须在手部加装设备,通过前臂肌肉即可获取信号,因此可用于手部功能缺失的残疾群体,用户范围广泛,具有重要的社会和经济效益.

Gesture intention recognition is a popular research direction in the field of Human‐Computer Interaction.However,most of the gesture recognition systems are based on electromyography(EMG)signals.The inevitable problems of EMG signals,such as signal crosstalk,signal attenuation,and low signal to interference plus noise ratio,seriously affect the accuracy of hand gesture recognition.To solve this problem,this paper develops the gesture intention recognition system based on liquid metal composites enabled sensor bracelet.Thanks to the sensitive piezoresistive effect of the liquid metal composites,signals obtained by the sensing bracelet exhibit excellent characteristics such as stability,high sensitivity and low noise.The gesture recognition system based on this signal consists of data acquisition and pattern recognition,and its average offline recognition accuracy is 97.19%.What's more,this system does not require additional equipment in the hand and only acquires signals through the forearm muscles.Therefore,the system can be used for disabled groups with hand function deficiency.The system has a wide range of users and important social and economic benefits.