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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.

• Python   

• OpenCV   

• React   

• 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.

Divyanshu Yadav Web Developer

Krish Katyal ML Developer

Omprasad Sadavarte ML | Frontend

Biomechanics-Ai_ntl.ipynb is under MIT License, Please Read the license.