Gait event detection through neuromorphic spike sequence learning

Wang Wei Lee, Haoyong Yu, Nitish V. Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a novel sampling and processing method for detecting gait events from an insole pressure sensor. Inspired by how tactile data is processed in the brain, we propose the use of timing, instead of intensity, as our event detection feature. By sacrificing the need for accurate intensity measurements, it is possible to achieve superior temporal resolution, which is arguably more important given the need for timely feedback. In this paper, we demonstrate temporally accurate gait-event detection of 1.2±7ms (mean and standard deviation) for heel-strike and 0.2±14 ms for toe-off events compared to the reference system, and a success rate of above 97% in most trials, using only 1 bit of pressure information per channel. Our method thus has the potential to achieve much lower computational complexity and bandwidth, both of which are key to low-cost, portable solutions for prosthetics, exoskeletons or long-term gait monitoring applications.

Original languageEnglish (US)
Title of host publication"2014 5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014
EditorsRaffaella Carloni, Lorenzo Masia, Nicolas Garcia-Aracil, Rui C. V. Loureiro, Roque Saltaren, Herman Van der Kooij, Bram Vanderborght, Loredana Zollo, Sunil Agrawal, Maura Casadio, Adriano A. G. Siqueira, Jose Zariffa, Matteo Bianchi, Domenico Formica, Sasha Blue Godfrey, Leonardo Mattos, Antonio Padilha Lanari Bo, Kevin Cleary, Matteo Fumagalli, Islam S.M. Khalil, Victor Munoz, Hyung-Soon Park, Nikolaos Tsagarakis, Olivier Lambercy, Valentina Squeri, Jose Maria Sabater-Navarro, Marko Ackermann, Arash Ajoudani, Panagiotis Artemiadis, Ashish Deshpande, Luis Eduardo Rodriguez Cheu, Arno H.A. Stienen, Nicola Vitiello
PublisherIEEE Computer Society
Pages899-904
Number of pages6
ISBN (Electronic)9781479931262
StatePublished - Sep 30 2014
Event5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014 - Sao Paulo, Brazil
Duration: Aug 12 2014Aug 15 2014

Publication series

NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
ISSN (Print)2155-1774

Other

Other5th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2014
CountryBrazil
CitySao Paulo
Period8/12/148/15/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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