AI-Driven Posture Correction for Workplace Well-being

Gaurav Ramkrishna Mishra; Chetna Achar

doi:10.36948/ijfmr.2025.v07i03.45257

AI-Driven Posture Correction for Workplace Well-being

Author(s)	Gaurav Ramkrishna Mishra, Chetna Achar
Country	India
Abstract	In today's workplace, long duration sitting and wrong asanas have significant fitness issues, which reduce productivity due to musculoskeletal disorders and other issues. If we solve the ones problems, we need new solutions that take advantage of Artificial intelligence (AI) technology some additional technology like Python and others. This research aims to observe and rectify the site of work in real-time and benefit employees and others, the employment of unlicensed sensors and intelligent devices ready with IMU, accelerometer and biopotential sensors, combining the AIAI-Caution device. The artworks involve designing AI models utilization of TensorFlow, Keras and MediaPipe for accurate posture analysis and feedback. With the use-centered design approach, the device provides real-time visible and audio cues to prompt corrective movements that reduce fitness risk factors of sitting behavior. Assessment through experiments and individual studies enhances the device's effectiveness in enhancing the assessment feature, building the exceptional hobbies of the staff and encouraging a healthy working environment. This provides an overview for model to the ergonomics of the administration hub through a demonstration of the ability of AI to manage asanas and cultivate enduring physical wellness within expert spaces. The goal of this studies is to verify potential packages of artificial intelligence (AI) for strengthening the role of work asana and bodily welfare. This study demonstrates AI's ability to maximize administrative center ergonomics by showing its ability to exhibit and modify postures, which encourages long-time period bodily well-being in workplaces. The major aim of this examine is to find the ability packages of synthetic intelligence in enhancing workplace posture and average bodily welfare.
Keywords	Workplace Ergonomics, Artificial Intelligence (AI), Asanas Reform, Musculoskeletal Disorder (MSDs), Wearable Sensors, Real-Time Monitoring, Employee Health, Machine Learning (ML), Ergonomic Intervention, User-Centric Design.
Field	Computer Applications
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-18
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.45257

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AI-Driven Posture Correction for Workplace Well-being

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