We at Biomechanics-Ai aimed to create a model which deals with Ergonomic assessment using Pose Estimation. We've developed a contemporary model of pose analysing using RULA(Rapid Upper Limb Assessment) and Rapid Office strain Assessment. In the modern IT world muscoskeletal disorders and physio-medical hazards have progressed exponentially, which can be majorly cured by keeping tabs on your stance.
- Improving the quality of health of employees by keeping a track of their neck positioning and body stance(standing+sitting).
- Store and display their REBA & RULA assestment scores real-time.
- Create awarness of Ai/ML in the Field of Physiology and MSD healthcare.
Our project is a practical representation of Computer Vision in a real-life problem, it makes a starking attempt to help the companies and individuals in ergonomics and personal safety.
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Python
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OpenCV
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React
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Mediapipe
- Rapid Entire Body Assesment
- Posture Thesis
- Rapid Upper Limb Assesment
- The development of fully automated RULA/REBA assessment system based on Computer Vision
Gui image feed --> Pose coordinates --> Angle Calculation --> RULA/REBA algorithm -->Assesment score & Table appending
git clone https://github.com/<your-username>/Biomechanics-Ai_ntl.ipynb
cd Biomechanics-Ai_ntl.ipynb
pip install -r requirements.txt
python3 app.py
- Integration with smart camera and iot.
- Creating an ecosystem of devices which can monitor and provide real time alerts about their hazardous muscoskeletal posture.
- Improved Model accuracy.
- Integration with open posture model by CMU.
- Backend data to scripted physio assesment sheet.
- Integrable web tool dev with existing web-app.
Biomechanics-Ai_ntl.ipynb is under MIT License, Please Read the license.
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Divyanshu Yadav
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Krish Katyal
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