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Sensors 2016, 16(12), 2005; doi:10.3390/s16122005

Identification of Object Dynamics Using Hand Worn Motion and Force Sensors

1
Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
2
Xsens, Pantheon 6-A, 7521 PR Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 29 May 2016 / Revised: 16 November 2016 / Accepted: 21 November 2016 / Published: 26 November 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [8114 KB, uploaded 26 November 2016]   |  

Abstract

Emerging microelectromechanical system (MEMS)-based sensors become much more applicable for on-body measurement purposes lately. Especially, the development of a finger tip-sized tri-axial force sensor gives the opportunity to measure interaction forces between the human hand and environmental objects. We have developed a new prototype device that allows simultaneous 3D force and movement measurements at the finger and thumb tips. The combination of interaction forces and movements makes it possible to identify the dynamical characteristics of the object being handled by the hand. With this device attached to the hand, a subject manipulated mass and spring objects under varying conditions. We were able to identify and estimate the weight of two physical mass objects (0.44 kg: 29 . 3 % ± 18 . 9 % and 0.28 kg: 19 . 7 % ± 10 . 6 % ) and the spring constant of a physical spring object ( 16 . 3 % ± 12 . 6 % ). The system is a first attempt to quantify the interactions of the hand with the environment and has many potential applications in rehabilitation, ergonomics and sports. View Full-Text
Keywords: inertial sensors; force sensors; on-body measurements inertial sensors; force sensors; on-body measurements
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kortier, H.G.; Schepers, H.M.; Veltink, P.H. Identification of Object Dynamics Using Hand Worn Motion and Force Sensors. Sensors 2016, 16, 2005.

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