BoostSole: Design and Realization of a Smart Insole for Automatic Human Gait Classification

• Autorzy: Djamaa, Badis , Bessa, Med Messaoud , Diaf, Badreddine , Rouigueb, Abdenebi , Yachir, Ali
• Konferencja: Federated Conference on Computer Science and Information Systems (15 ; 06-09.09.2020 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

This paper presents BoostSole; a smart insole based system for automatic human gait recognition. It consists of a smart instrumented insole connected to the cloud via the patient's smartphone using low-power wireless communication. First, the design of BoostSole is introduced with discussions of sensors choice, placement, calibration, and data communication. Next, an adaptive multi-boost classification algorithm is deployed to accurately identify different gait patterns. The algorithm is fast and lightweight and can be implemented in ordinary smartphones with a small footprint in terms of computational requirements, energy consumption, and communication usage. Raw and on-device classified data can be securely uploaded to a distant cloud server for continuous monitoring and analysis. Indeed, they can be visualized and exploited by doctors to identify/correct walking habits and assess the risks of chronic pain associated with an abnormal walk. The system has been evaluated on a dataset containing three gait patterns, namely: shuffle walk; toe walking; and normal gait. Obtained results are promising with more than 97\\% classification accuracy accompanied by low response time and computational demands.

Słowa kluczowe

PL

inteligentna wkładka; analiza chodu człowieka; rezystory wykrywające siłę; klasyfikacja multiboost; Internet przedmiotów

EN

smart insole; human gait analysis; force sensing resistors; multiboost classification; Internet of things

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 21
• Strony: 35--43
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Djamaa, Badis

• Computer Science Department, Ecole Militaire Polytechnique, Algiers, Algeria,

autor

Bessa, Med Messaoud

• Computer Science Department, Ecole Militaire Polytechnique, Algiers, Algeria,

autor

Diaf, Badreddine

• Computer Science Department, Ecole Militaire Polytechnique, Algiers, Algeria,

autor

Rouigueb, Abdenebi

• Computer Science Department, Ecole Militaire Polytechnique, Algiers, Algeria,

autor

Yachir, Ali

• Computer Science Department, Ecole Militaire Polytechnique, Algiers, Algeria,

Bibliografia

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Uwagi

1. Track 1: Artificial Intelligence

2. Technical Session: 15th International Symposium Advances in Artificial Intelligence and Applications

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).

Identyfikatory

DOI

10.15439/2020F92