Abstract:
Smart Insoles are in-shoe measurement systems primarily designed to measure forces, exerted by the ground on a human body, as a result of gait. In this paper, we test the...Show MoreMetadata
Abstract:
Smart Insoles are in-shoe measurement systems primarily designed to measure forces, exerted by the ground on a human body, as a result of gait. In this paper, we test the applicability of force measurements from a smart insole, in enforcing good lifting ergonomics for manual material handling. This was achieved by classifying a lift as either good or bad using DTW (Dynamic time warping), a popular algorithm for speech recognition. Our experiments have revealed that lift classifications using this technique is 98.8% accurate with 30 seconds of computation time.
Published in: 2022 International Conference on Smart Applications, Communications and Networking (SmartNets)
Date of Conference: 29 November 2022 - 01 December 2022
Date Added to IEEE Xplore: 03 January 2023
ISBN Information: