4.5 Article

Robust and adaptive terrain classification and gait event detection system

Journal

HELIYON
Volume 9, Issue 11, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.heliyon.2023.e21720

Keywords

Gait event detection (GED); Terrain classification; Adaptive

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This study presents an inertial sensor-based approach for real-time gait event detection system that works for diverse terrains. The system has high accuracy and computational efficiency, making it suitable for use in dynamic environments.
Real-time gait event detection (GED) system can be utilized for gait analysis and tracking fitness activities. GED for various types of terrains (e.g., stair-walk, uneven surfaces, etc.) is still an open research problem. This study presents an inertial sensor-based approach for real-time GED system that works for diverse terrains in an uncontrolled environment. The GED system classifies three types of terrains, i.e., flat-walk, stair-ascend and stair-descend, with an average classification accuracy of 99%. It also accurately detects various gait events, including, toe-strike, heel-rise, toe-off, and heel-strike. It is computationally efficient, implemented on a low-cost microcontroller, works in real-time and can be used in portable rehabilitation devices for use in dynamic environments.

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