Title: The design and implementation of a wearable human activity recognition system based on IMU

Authors: Wei Zhuang; Suyun Xu; Yue Han; Jian Su; Chunming Gao; Dan Yang

Addresses: School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' School of Engineering and Technology, University of Washington Tacoma, Tacoma, WA 98402, USA ' School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, Liaoning 114051, China

Abstract: In recent years, with the rapid development of the inertial measurement unit (IMU) and wireless body area network, and the maturity of pattern recognition theory, the technology of human activity recognition gradually gets the attention of researchers, becoming the research hotspot in this field. On the basis of existing IMU, this paper designs a wearable human activity recognition system, which consists of microprocessor, three-axis accelerometer, three-axis gyroscope, power module and so on. The system can provide real-time, continuous human motion information (acceleration and angular velocity information) to the Android control unit, and it can realise the real-time receiving, dynamic display and storage of human motion information.

Keywords: inertial measurement unit; IMU; wearable technology; posture recognition; support vector machine.

DOI: 10.1504/IJES.2020.108863

International Journal of Embedded Systems, 2020 Vol.13 No.2, pp.158 - 168

Received: 28 Feb 2019
Accepted: 19 Apr 2019

Published online: 11 May 2020 *

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