title: Embedded sensor insole for wireless measurement of gait parameters.
abstract: This work presents the development of a portable, wireless activity monitoring system for the estimation of biomechanical gait parameters. The system uses a pair of instrumented insoles able to measure pressure from different points of the foot including four commercial piezoresistive pressure sensors and a three-axis accelerometer, all together integrated in the insole to determine foot forces during stance and swing phases. The system includes two kinds of analysis data, one on line with a RF communications to a computer, and another off line reading the data from SD memory card. Our system has been validated and tested in different trials, extracting several features during walking for ten participants by means of the combined information from the two kinds of sensors. With the combined data from the complete set of sensors, we can obtain highly valuable information on foot movement during the non-contact period, such as supination or pronation characteristics or anomalous movement during flight time. From our preliminary results, the variation of the lateral acceleration of the foot seems to be correlated with the amount of supination.
authors.affiliation: ECsens, Departamento de Electrónica y Tecnología de Computadores, ETSIIT, Universidad de Granada, 18071, Granada, Spain, fmartinezmarti@ugr.es.
authors.forename: Fernando
authors.initials: F
authors.lastname: Martínez-Martí
authors.forename: María Sofía
authors.initials: MS
authors.lastname: Martínez-García
authors.forename: Santiago G
authors.initials: SG
authors.lastname: García-Díaz
authors.forename: Javier
authors.initials: J
authors.lastname: García-Jiménez
authors.forename: Alberto J
authors.initials: AJ
authors.lastname: Palma
authors.forename: Miguel A
authors.initials: MA
authors.lastname: Carvajal
mesh_terms: D061725:Accelerometry / Q000295:instrumentation*; D000293:Adolescent; D000328:Adult; D001696:Biomechanical Phenomena / Q000502:physiology; D005260:Female; D005528:Foot / Q000502:physiology*; D005684:Gait / Q000502:physiology*; D006801:Humans; D016014:Linear Models; D008297:Male; D009068:Movement / Q000502:physiology; D011312:Pressure; D012775:Shoes; D016138:Walking / Q000502:physiology; D059015:Wireless Technology / Q000295:instrumentation*; D055815:Young Adult