Mobile human airbag system for fall protection using mems sensors and embedded SVM classifier

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

137 Scopus Citations
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Author(s)

  • Guangyi Shi
  • Cheung Shing Chan
  • Kwok-Sui Leung
  • Yuexian Zou
  • Yufeng Jin

Detail(s)

Original languageEnglish
Article number4806274
Pages (from-to)495-503
Journal / PublicationIEEE Sensors Journal
Volume9
Issue number5
Publication statusPublished - May 2009
Externally publishedYes

Abstract

This paper introduces a mobile human airbag system designed for fall protection for the elderly. A Micro Inertial Measurement Unit ( \muIMU) of 56 mm × 23 mm × 15 mm in size is built. This unit consists of three dimensional MEMS accelerometers, gyroscopes, a Bluetooth module and a Micro Controller Unit (MCU). It records human motion information, and, through the analysis of falls using a high-speed camera, a lateral fall can be determined by gyro threshold. A human motion database that includes falls and other normal motions (walking, running, etc.) is set up. Using a support vector machine (SVM) training process, we can classify falls and other normal motions successfully with a SVM filter. Based on the SVM filter, an embedded digital signal processing (DSP) system is developed for real-time fall detection. In addition, a smart mechanical airbag deployment system is finalized. The response time for the mechanical trigger is 0.133 s, which allows enough time for compressed air to be released before a person falls to the ground. The integrated system is tested and the feasibility of the airbag system for real-time fall protection is demonstrated. © 2006 IEEE.

Research Area(s)

  • Digital signal processing (DSP), Human motion sensing, Inertial measurement unit ( IMU), Microelectromechanical systems (MEMS), Mobile airbags, Support vector machine (SVM)

Citation Format(s)

Mobile human airbag system for fall protection using mems sensors and embedded SVM classifier. / Shi, Guangyi; Chan, Cheung Shing; Li, Wen Jung et al.
In: IEEE Sensors Journal, Vol. 9, No. 5, 4806274, 05.2009, p. 495-503.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review