0

Full Content is available to subscribers

Subscribe/Learn More  >

Sensor-Fusion Approach for the Characterization of Human Walking

[+] Author Affiliations
Martínez Felipe, Cardenas Antonio, Mauro Maya

Universidad Autónoma de San Luis Potosí, San Luis Potosí, México

Roberto Bortoletto

University of Padova, Padova, Italy

Lillian A. Blum, Davide Piovesan

Gannon University, Erie, PA

Paper No. IMECE2016-66049, pp. V003T04A053; 6 pages
doi:10.1115/IMECE2016-66049
From:
  • ASME 2016 International Mechanical Engineering Congress and Exposition
  • Volume 3: Biomedical and Biotechnology Engineering
  • Phoenix, Arizona, USA, November 11–17, 2016
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5053-4
  • Copyright © 2016 by ASME

abstract

The need to understand the control strategies utilized by humans in their everyday activity requires the measurement of several variables, which pertain to different aspects of the interaction with the environment. This work focuses on validation and uncertainty quantification of a sensor-fusion suite for the acquisition of biometric information that can be used for the estimation of the control strategy in a variety of everyday tasks. Specifically, the acquisition of biomechanical parameters such as those involving estimations of human ankle mechanical impedance is addressed. The sensor fusion suite that we devised consists of a centralized program that can synchronize and integrate the information coming from several transducers. In this work the system combines a set of two computer vision cameras. The cameras utilize a stereovision algorithm that transforms the markers acquired in Cartesian space with a model in the camera space. Furthermore, a biomechanical model of the human is integrated in the system for the reconstruction of the tracked movements in the joint space. The architecture of the systems allows for the integration of transducers beyond those implemented to date, including inertial measurement units, electromyography and pressure sensors. The system was able to capture the dynamics of an inverted pendulum on a cart mimicking human walking on a treadmill there the mechanical parameters of the ankles where estimated simulating a single stand phase.

Copyright © 2016 by ASME
Topics: Sensors

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In