title: Insole sensor system for real-time detection of biped slip.
abstract: The study of bipedal gait is important for two primary reasons: biomimetic robotics and human gait rehabilitation. Both fields have numerous models describing bipedal locomotion that require a no-slip interaction with the ground for accuracy. This paper presents a low cost wearable sensor system capable of identifying slip in real time, which could afford rehabilitative analysts important information on the nature of patient falls, and provide robot designers a feedback ability with which to implement an active traction control system. The system can functionally provide better than 90% detection rates when calibrated to an individual.
authors.affiliation: Department of Mechanical Engineering, University of Utah, Salt Lake City, UT 84112, USA. lucas.lincoln@utah.edu
authors.forename: Lucas Samuel
authors.initials: LS
authors.lastname: Lincoln
authors.forename: Stacy J
authors.initials: SJ
authors.lastname: Bamberg
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control*; D003199:Computer Systems; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005528:Foot / Q000502:physiology*; D005684:Gait / Q000502:physiology*; D006801:Humans; D008124:Locomotion / Q000502:physiology*; D008365:Manometry / Q000295:instrumentation*; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D011312:Pressure; D012775:Shoes