Title :
Development of a wireless multi-functional body sensing platform for smart garment integration
Author :
Spulber, I. ; Papi, E. ; Chen, Y.-M. ; Anastasova-Ivanova, S. ; Bergmann, J. ; Georgiou, P. ; McGregor, A.H.
Author_Institution :
Inst. of Biomed. Eng., Centre for Bio-Inspired Technol., Imperial Coll. London, London, UK
Abstract :
This paper details the development of a multi-sensor platform designed to support functional monitoring and knee rehabilitation via its integration into a smart garment. The system incorporates flexible conductive polymer sensors, interfaced to a customized body sensor node with embedded accelerometer and gyroscope sensors. The body node was specifically developed for unobtrusive sensor data acquisition and the wireless transmission of data via a Bluetooth link. To demonstrate the system, a proof of concept investigation was conducted to assess its potential for functional monitoring in the context of daily activity discrimination. Preliminary results show that walking, running, stairs climbing and descending activities can be easily discriminated based on the data collected with the developed sensing platform. Moreover, simple clustering and discrimination of tThis paper details the development of a multi-sensor platform designed to support functional monitoring and knee rehabilitation via its integration into a smart garment. The system incorporates flexible conductive polymer sensors, interfaced to a customized body sensor node with embedded accelerometer and gyroscope sensors. The body node was specifically developed for unobtrusive sensor data acquisition and the wireless transmission of data via a Bluetooth link. To demonstrate the system, a proof of concept investigation was conducted to assess its potential for functional monitoring in the context of daily activity discrimination. Preliminary results show that walking, running, stairs climbing and descending activities can be easily discriminated based on the data collected with the developed sensing platform. Moreover, simple clustering and discrimination of the tested activities is shown to be feasible based on a single time domain signal power feature.he tested activities is shown to be feasible based on a single time domain signal power feature.
Keywords :
Bluetooth; accelerometers; biological techniques; body sensor networks; gyroscopes; intelligent sensors; Bluetooth link; descending activities; embedded accelerometer; flexible conductive polymer sensor; functional monitoring; gyroscope sensors; knee rehabilitation; running; sensor data acquisition; smart garment integration; stairs climbing; walking; wireless multifunctional body sensing platform; wireless transmission; Clothing; Flexible printed circuits; Gyroscopes; Knee; Monitoring; Wireless communication; Wireless sensor networks; RMS2; activity discrimination; body sensing node; flexible sensors; smart garment;
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
Conference_Location :
Lausanne
DOI :
10.1109/BioCAS.2014.6981669