View Full Version : Summary:Cyberglove for hand motion data analysis

Mandar S. Deshmukh
06-20-1996, 02:55 AM
Here is my original posting:
Dear Biomch-L subscribers,

I am a Master's student in the Computational Motor Control Lab at Arizona State
University. As a part of my thesis work I am looking at the viability of the
CyberGlove (Virtual Tech.) for study of hand motion analysis. I would be
grateful if you could provide me with some insight regarding the same. I shall
post a summary of responses.



Mandar S. Deshmukh
Computational Motor Control Lab
Arizona State University
Tel:(602)-965 9010

This is a summary of the responses I received. Thanks to all those who replied:

Motion Analysis Corporation, Santa Rosa California 707-579-6500, has a
full body imaging system that incorporates a data glove, facial and
full body biomechanics. In addition to such hand actions, I recently
tested our system for data collection with markers on the (excuse my
layman anatomy) finger nails, first and second knuckle of the fingers,
the hand/finger knuckle and the Ulnar and Radial at total of 21 markers
and the system collected and reduced data in 14 seconds. This was
performed with passive markers on the above mentioned areas. For more
information please contact me at dan.india@macorp.com or visit our web
at http:www.crl.com/~macorp.

I can send a video on the full body intergrated hand capture if

good Luck

Dan India
Vice President
Biomechanics Group
Motion Analysis Corp
================================================== =====================


Here at Sheffield we have a group who are very interested in using digital
gloves for hand motion analysis, particularly in a clinical setting. We
would love to hear from anyone who has experience with the Cyberglove,
Dataglove etc.
For what it's worth though, here is my two-pence on the CyberGlove:
Firstly, they are very expensive $10,000+ (I think) and hard to get hold
of, with long waiting lists. Also, there appears to be little validation
data in print and what there is relates to the Dataglove. It seems that
the accuracy of angular measurement may be little better than placing a
simple goniometer on the finger.
Secondly, I think I'm right in saying that the CyberGlove has DIP, PIP and
MCP sensors, as well as Finger and thumb abductor sensors. This is
perfectly adequate for tasks such as gesture recognition, but in a
clinical situation, you might want to know about wrist flexion/extension,
radio-ulnar abduction/adduction, or even ulnar deviation of the fingers.
Also, the CyberGlove only comes in one size and it would not be suitable
for use by someone with, say, rheumatoid deformaties.

I'd be interested to know what other people think, and whether hand motion
studies are popular.

Justin Penrose
Virtual Reality in Medicine and Biology Group


Justin Penrose J.M.Penrose@Sheffield.ac.uk
Medical Physics,
Sheffield University, Tel. +44 (0) 114 271 2428
Royal Hallamshire Hospital, Fax. +44 (0) 114 271 3403
Glossop Road, Sheffield S10


Thanks once again,


Mandar S. Deshmukh
Computational Motor Control Lab
Arizona State University
Tel:(602)-965 9010