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Jennifer J. Whitestone

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Publications by Jennifer J. Whitestone (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

1993
 
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Whitestone, Jennifer J. (1993): Human Factors in Design and Evaluation of Helmet Systems: An Overview. In: Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting 1993. p. 63.

Helmets are no longer used simply to protect the head from impact and penetration, but provide a platform for viewing devices, hearing protection, impact protection, and voice communications. In addition, they must acceptably integrate with personal equipment and cockpits. The designs of these helmet systems must address other issues including portability, flexibility, and expansion. Aside from integration and compatibility concerns, the helmet must accommodate the anthropometry of aircrew including head size and shape as well as variation in pupil and ear location. The criteria for integrating all of these elements includes restricted weight and combined center of gravity constraints. The development of new systems is clearly a multivariate problem. The evaluation of such systems requires orchestration of the separate evaluation methods to fully comprehend the performance results of these very complex systems.

© All rights reserved Whitestone and/or Human Factors Society

 
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Whitestone, Jennifer J. (1993): Design and Evaluation of Helmet Systems Using 3D Data. In: Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting 1993. pp. 64-68.

The new anthropometric design technologies utilize advanced surface scanning and software analysis capabilities which allow for high resolution surface data of individuals and their protective equipment. Anatomical landmarks are identified in every head scan and include coordinates of locations such as pupils, tragions (ears), and other relevant features. The subjects are then scanned with their protective equipment donned and common surface areas found in the two scans, usually on the front of the face, are used to register the two surface scans. For development of helmet mounted systems technology using existing helmet shells as platforms, a population of representative personnel can be scanned with and without the helmet to establish a database. This database, then, is used to derive feature envelopes such as ear locations or pupil ranges with respect to a helmet-based coordinate system. This coordinate system, and the subsequent features envelopes, can be duplicated by designers and used as a basis for building viewing devices or acoustic equipment.

© All rights reserved Whitestone and/or Human Factors Society

 
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Changes to this page (author)

27 Jun 2007: Modified
26 Jun 2007: Modified
26 Jun 2007: Added

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URL: http://www.interaction-design.org/references/authors/jennifer_j__whitestone.html
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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