Human Gait and Science

DOI

10.2991/978-94-6463-784-7_8How to use a DOI?

Keywords

Observational Gait Analysis; Vision based Gait Analysis

Abstract

Observational and vision-based gait analysis involves the systematic examination of an individual’s walking patterns through visual assessment and advanced imaging techniques. This chapter presents the science and technological methods that enable the detailed observation of movement dynamics, allowing for the identification of abnormalities, variations, and overall physical health. By integrating both qualitative and quantitative measures, this approach provides valuable insights into gait biomechanics, aiding in injury prevention, rehabilitation, and the enhancement of athletic performance.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mohd Irfan
AU  - Nagender Kumar Suryadevara
PY  - 2025
DA  - 2025/07/28
TI  - Human Gait and Science
BT  - Proceedings of the IoT AND LiDAR Technologies in Healthcare Workshop (ILTH 2024)
PB  - Atlantis Press
SP  - 77
EP  - 83
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-784-7_8
DO  - 10.2991/978-94-6463-784-7_8
ID  - Irfan2025
ER  -