Wearable Sensors based Human Intention Recognition in Smart Assisted Living Systems

摘要：

Human--robot interaction (HRI)is an important topic in robotics,especially in assistive robotics.Here we propose a smart assisted living (SAIL)system to help elderly people, patients,and the disabled.In this paper,we address the human intention recognition problem and design a Hidden Markov Models (HMM)based online recognition algorithm to classify hand gestures.The data is collected by a single inertial sensor worn on a finger of the subject.We implemented a dynamic duration segmentation method based on the FFT and investigated the training method related to the recognition decisions and accuracy.Several hand movements are performed to represent different commands.The obtained results prove the effectiveness of our method.

关键词： Human-robot interaction assisted living Hidden Markov Models wearable computing.

作者: Chun Zhu Wei Sun Weihua Sheng

作者单位: School of Electrical and Computer Engineering Oklahoma State University Stillwater,OK 74078,USA

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 954-959

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）