Evaluation of Different Pressure-Based Foot Contact Event Detection Algorithms across Different Slopes and Speeds

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 5; p. 2736
• Main Authors: Blades, Samuel, Marriott, Hunter, Hundza, Sandra, Honert, Eric C., Stellingwerff, Trent, Klimstra, Marc
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 02.03.2023; MDPI
• Subjects: Accuracy; Adult; Algorithms; Biomechanical Phenomena; Comparative analysis; Data processing; event detection; Exercise equipment; Female; Fitness equipment; Foot - physiology; Gait; gait analysis; Humans; Investigations; Kinematics; Laboratories; Male; Pressure; Reproducibility of Results; Running; Sensors; Signal processing; Wearable computers; wearable technology; Young Adult; United States > US; running; algorithms; event detection; pressure; wearable technology; smart insoles; gait analysis

If validated, in-shoe pressure measuring technology allows for the field-based quantification of running gait, including kinematic and kinetic measures. Different algorithmic methods have been proposed to determine foot contact events from in-shoe pressure insole systems, however, these methods have...