Smartphone sensor application for gait analysis

Arjan Kahlon; Sara Khaksari; Ahad Behboodi; Ashwini Sansare

doi:10.1117/12.2612427

7 March 2022 Smartphone sensor application for gait analysis

Arjan Kahlon, Sara Khaksari, Ahad Behboodi, Ashwini Sansare

Proceedings Volume PC11956, Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables III; PC1195608 (2022) https://doi.org/10.1117/12.2612427
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Wearable systems can evaluate a subject’s gait without the need to meet a therapist. Some of these wearables are in the form of smartphone built-in sensors. Gait characteristics give us a knowledge of health status in individuals with movement disorders. In this study, we designed a gyroscope-based smartphone application for quantifying gait parameters through a built-in smartphone sensor. This method uses a custom created algorithm for measuring a person’s manner of walking. The outcome is an inexpensive application for tracking the prognosis of the disease and monitoring patient recovery that allows a point-of-care at-home monitoring of patients with limb problems.

Conference Presentation

Citation Download Citation

Arjan Kahlon, Sara Khaksari, Ahad Behboodi, and Ashwini Sansare "Smartphone sensor application for gait analysis", Proc. SPIE PC11956, Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables III, PC1195608 (7 March 2022); https://doi.org/10.1117/12.2612427

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