A Study on Vision-based Posture Assessment Tools
Yashesvinee V, Sindhu R, Sushmitha M, Tejaswi U, Nethra H.L.
OpenCV, Pose estimation, body posture
One of the primary contributors to neck and back issues in the modern world is the increased amount of time individuals assume incorrect or uncomfortable postures during work. Many employees have been forced to spend more time than usual in front of a computer, causing them to work in bad postures for a prolonged time. Workers in various industries are required to perform tasks in awkward positions within their workstation. These workstations may or may not have the qualities required for the worker to be able to position themselves comfortably. This paper focuses on developing a lightweight automatic system that tracks a worker’s posture and alerts them anytime a correction or break is required. A camera can be used to gather input frames which is then sent to a model that analyses the severity and risk associated with a particular posture. The suggested method automatically ascertains a worker’s risk pose by integrating Mediapipe with body assessment tools like Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA).
Article Details
Unique Paper ID: 157820

Publication Volume & Issue: Volume 9, Issue 8

Page(s): 155 - 158
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews