An Integrated Wireless Wearable Sensor System for Posture Recognition and Indoor Localization.
In order to provide better monitoring for the elderly or patients, we developed an integrated wireless wearable sensor system that can realize posture recognition and indoor localization in real time. Five designed sensor nodes which are respectively fixed on lower limbs and a standard Kalman filter are used to acquire basic attitude data. After the attitude angles of five body segments (two thighs, two shanks and the waist) are obtained, the pitch angles of the left thigh and waist are used to realize posture recognition. Based on all these attitude angles of body segments, we can also calculate the coordinates of six lower limb joints (two hip joints, two knee joints and two ankle joints). Then, a novel relative localization algorithm based on step length is proposed to realize the indoor localization of the user. Several sparsely distributed active Radio Frequency Identification (RFID) tags are used to correct the accumulative error in the relative localization algorithm and a set-membership filter is applied to realize the data fusion. The experimental results verify the effectiveness of the proposed algorithms.
Key Laboratory of Image Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China. huang_jan@mail.hust.edu.cn.
Jian
J
Huang
Key Laboratory of Image Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China. yuxiaoqiang@hust.edu.cn.
Xiaoqiang
X
Yu
Key Laboratory of Image Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China. wang.y.bb@m.titech.ac.jp.
Yuan
Y
Wang
Department of Rehabilitation, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan 430022, China. xiling_xiao@hust.edu.cn.
Xiling
X
Xiao
D000465:Algorithms; D040362:Geographic Information Systems; D006801:Humans; D007596:Joints / Q000502:physiology; D018670:Monitoring, Ambulatory / Q000295:instrumentation / Q000379:methods*; D057233:Radio Frequency Identification Device; D016138:Walking / Q000502:physiology*; D059015:Wireless Technology
indoor localization; posture recognition; set-membership filter; wireless sensor system