title: Moving past normal force: capturing and classifying shear motion using 3D sensors.
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.
authors.affiliation: Northwestern University, Department of Surgery, Feinberg School of Medicine. c-kwan@northwestern.edu
authors.forename: Calvin
authors.initials: C
authors.lastname: Kwan
authors.forename: Lawrence
authors.initials: L
authors.lastname: Salud
authors.forename: Chiagozie
authors.initials: C
authors.lastname: Ononye
authors.forename: Shenshen
authors.initials: S
authors.lastname: Zhao
authors.forename: Carla
authors.initials: C
authors.lastname: Pugh
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis; D003198:Computer Simulation; D005260:Female; D006801:Humans; D009038:Motion; D010173:Palpation; D055698:Touch Perception; D014159:Transducers