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Glen R. Geisen

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Publications by Glen R. Geisen (bibliography)

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1995
 
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Geisen, Glen R., Mason, Carl P., Houston, Vern L., Whitestone, Jennifer J., McQuiston, Barbara K. and Beattie, Aaron C. (1995): Automatic Detection, Identification, and Registration of Anatomical Landmarks. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting 1995. pp. 750-753.

This paper describes a signal processing method for automated detection, identification, and registration (ALDIR) of optically marked anatomical fiduciary landmarks from 3-D laser digitized body segment measurements. The method described is a multistage process. In the first stage, body surface reflectivity and topography information is used to detect optical markers in digitized measurement data. In the second stage, a maximum likelihood identification is used to identify each of the detected landmarks. Finally, the method identified landmarks and their relative spatial coordinates are registered and output. This can be used in a prosthetics-orthotics (or other) computer-aided design and computer-aided manufacturing (CAD/CAM) system to compute a quantitative diagnostic measure of the patient's physiological state; as a measure of efficacy of a given medical treatment regimen; or an addition to an anthropometric/medical data base.

© All rights reserved Geisen et al. and/or Human Factors Society

 
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Jun 19

... there are no simple 'right' answers for most web design questions (at least not for the important ones). What works is good, integrated design that fills a need--carefully thought out, well executed, and tested.

-- Steve Krug, Don't Make Me Think, p. 136

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Latest books

The Social Design of Technical Systems: Building technologies for communities
by Brian Whitworth and Adnan Ahmad

 
Start reading

The Encyclopedia of Human-Computer Interaction, 2nd Ed.
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

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