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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2026

Detection of Wrong Sitting Posture to Prevent Ergonomic Hazards

The record

Type
Publication
Date
1 January 2026
Level
National
Journal
Proceedings of 2026 International Conference on Cognitive Computing and Networking Systems Icc CNS 2026
Pages
402-407
Published
1 January 2026
DOI
10.1109/icc-cns70518.2026.11606024
Scopus ID
105046506224
Authors
7
Open access
No
Citations
0
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Develops real-time posture detection system using MediaPipe and deep learning classifiers achieving 91% accuracy to prevent musculoskeletal disorders and ergonomic hazards in workplace environments.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    Directly protects occupational health and well-being through AI-enabled continuous ergonomic monitoring and feedback.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Detection of Wrong Sitting Posture to Prevent Ergonomic Hazards”. Kortex.

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