Moving Past Normal Force: Capturing and Classifying Shear Motion Using 3D Sensors
Identifieur interne : 001A83 ( Pmc/Corpus ); précédent : 001A82; suivant : 001A84Moving Past Normal Force: Capturing and Classifying Shear Motion Using 3D Sensors
Auteurs : Calvin Kwan ; Lawrence Salud ; Chiagozie Ononye ; Shenshen Zhao ; Carla PughSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2012.
Abstract
In our previous research, we used clinical breast examination models instrumented with direct (normal) force sensors for training and assessment. A weakness of the normal force sensors is the ability to delineate, in detail, all of the performance measures we wish to understand. This study incorporated the use of newly developed shear force sensors to extend a framework for quantifying hands-on performance.
Url:
PubMed: 22356995
PubMed Central: 3693445
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