Detail publikace

Robust and Adaptive Terrain Classification and Gait Event Detection System

SHAIKH, U. SHAHZAIB, M. SHAKIL, S. BHATTI, F. MALIK, A.

Originální název

Robust and Adaptive Terrain Classification and Gait Event Detection System

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Gait event detection (GED), terrain classification, adaptive.

Autoři

SHAIKH, U.; SHAHZAIB, M.; SHAKIL, S.; BHATTI, F.; MALIK, A.

Vydáno

31. 10. 2023

Nakladatel

Elsevier

Místo

Oxford

ISSN

2405-8440

Periodikum

Heliyon

Ročník

9

Číslo

11

Stát

Spojené státy americké

Strany od

1

Strany do

12

Strany počet

12

URL

https://www.sciencedirect.com/science/article/pii/S2405844023089284

BibTex

@article{BUT185297,
  author="SHAIKH, U. and SHAHZAIB, M. and SHAKIL, S. and BHATTI, F. and MALIK, A.",
  title="Robust and Adaptive Terrain Classification and Gait Event Detection System",
  journal="Heliyon",
  year="2023",
  volume="9",
  number="11",
  pages="1--12",
  doi="10.1016/j.heliyon.2023.e21720",
  issn="2405-8440",
  url="https://www.sciencedirect.com/science/article/pii/S2405844023089284"
}