AN ACCURATE AND ADAPTIVE PEDOMETER INTEGRATED IN MOBILE HEALTH APPLICATION
An interesting and valuable application in sensor network technology is Personalised Rehabilitation.In particular, through the combination of a smart phone and wearable sensors, patients can follow and have feedback on their exercise programmes, while enhancing the medical monitoring.In this paper, we design a system to measure the patients activity by estimating his walking habits.The system, ready to be integrated in a mobile health application, consists of an inertial sensor with a tri-axial orthogonal accelerometer attached to patients foot, while the sensor is connected to a smart phone for data processing.Additionally, we propose an algorithm for step detection and gait state estimation.The challenge is to provide reliable and accurate detection when pacers are in different gait states.Also, the algorithm will reduce error drifts at start moment when sensor signals are very unstable.Extensive experiment results will demonstrate that the algorithm provides good performance in terms of accuracy, adaptability and memory use
wireless sensor networks OSGi step counter and mobile health
Sheng Zhong Li Wang Ana M. Bernardos Mei Song
Beijing University of Posts and Telecommunications, China Technical University of Madrid, Spain
国际会议
Iet International Conference on Wireless Sensor Network 2010(2010年物联网应用技术国际会议 IET-WSN 2010)
北京
英文
78-83
2010-11-15（万方平台首次上网日期，不代表论文的发表时间）