The Gaitprint: Identifying Individuals by Their Running Style

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 14; p. 3810
• Main Authors: Weich, Christian, M. Vieten, Manfred
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 08.07.2020; MDPI
• Subjects: Adult; Anaerobic threshold; Athletes; attractor method; Biometric Identification - methods; Efficiency; Female; Gait; Gait Analysis; human cyclic motion; Humans; individual locomotion; Male; Methods; Microelectromechanical systems; Middle Aged; Motion capture; Movement; Principal components analysis; recognition; Running; running quality; Sensors; Software; Germany; recognition; individual locomotion; running quality; attractor method; human cyclic motion

Recognizing the characteristics of a well-developed running style is a central issue in athletic sub-disciplines. The development of portable micro-electro-mechanical-system (MEMS) sensors within the last decades has made it possible to accurately quantify movements. This paper introduces an analysi...