Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-34778-8_10
Title: Reducing the power consumption of an IMU-based gait measurement system
Authors: Zhu, S.
Anderson, H. 
Wang, Y. 
Keywords: Gait Measurement
IMU
Low Power
On-chip
Issue Date: 2012
Source: Zhu, S.,Anderson, H.,Wang, Y. (2012). Reducing the power consumption of an IMU-based gait measurement system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7674 LNCS : 105-116. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-34778-8_10
Abstract: This paper presents our approach to reducing the power consumption in our Gait Measurement System (GMS), which is the foundation for various monitoring and assistive systems. Our GMS is a small foot-mounted device based on an Inertial Measurement Unit (IMU), containing an accelerometer and a gyroscope. It can compute gait parameters in real-time, including cadence, velocity and stride length, before transmitting them to a nearby receiver via a radio frequency (RF) module. Our power saving strategy exploits the cooperation between both hardware and software. By realizing on-chip computing, reducing RF usage and enabling sleep mode, the GMS's current consumption was dramatically reduced. In active mode, the GMS consumes about 2.1mA, while in standby mode, the current is only 20μA. Powered by a small rechargeable 110mAh battery, we expect the GMS to last for months of normal usage without recharging; a duration necessary for our intended applications in e-health. © 2012 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/42182
ISBN: 9783642347771
ISSN: 03029743
DOI: 10.1007/978-3-642-34778-8_10
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