A Study on Vision-based Posture Assessment Tools

A Study on Vision-based Posture Assessment Tools
Author(s):
Yashesvinee V, Sindhu R, Sushmitha M, Tejaswi U, Nethra H.L.
Keywords:
OpenCV, Pose estimation, body posture
Abstract
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

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

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