Energy harvesting from human locomotion: gait analysis, design and state of art

Hesmondjeet Oon Chee Houng, Siti Sarah, S. Parasuraman, M. K.A. Ahamed Khan, I. Elamvazuthi

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

6 Citations (Scopus)

Abstract

Human power is defined as the use of human work for energy generation to power an electronic device. The active powering of electronic devices takes place when the user of the electronic product has to do a specific work in order to power the product that otherwise the user would not have done. As fossil fuels around the world depletes, alternate means of harvesting energy is required. Biomechanical energy harvesting-generating electricity from people during daily activities-is a promising alternative to batteries for powering increasingly sophisticated portable devices. Effectively harvesting energy from walking requires a small lightweight device that efficiently converts intermittent, bi-directional, low speed and high torque mechanical power to electricity, and selectively engages power generation. To achieve this, Linear, Piezo electric and rotary electromagnetic generation methods are implemented on the model to harvest energy from the heel strike. Qualysis Tracking Markers (QTM), insole pressure sensors, and electromyography (EMG) readings are utilized to analyze the human locomotion during a normal human gait cycle. In this methods-focused paper, we explain also the physiological principles that guided our design process and present a detailed description of our device design with an emphasis on new analyses.

Original languageEnglish
Title of host publicationInternational Symposium on Medical and Rehabilitation Robotics and Instrumentation, MRRI 2013
Pages327-335
Number of pages9
Volume42
EditionC
DOIs
Publication statusPublished - 2014
EventInternational Symposium on Medical and Rehabilitation Robotics and Instrumentation 2013 - Shah Alam, Malaysia
Duration: 2 Dec 20134 Dec 2013
https://www.sciencedirect.com/journal/procedia-computer-science/vol/42/suppl/C (Proceedings)

Publication series

NameProcedia Computer Science
PublisherElsevier
ISSN (Print)1877-0509

Conference

ConferenceInternational Symposium on Medical and Rehabilitation Robotics and Instrumentation 2013
Abbreviated titleMRRI 2013
Country/TerritoryMalaysia
CityShah Alam
Period2/12/134/12/13
Internet address

Keywords

  • Biomechanical
  • Electromyography
  • Human gait cycle
  • Qualysis tracking marker

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