Posture Similarity Index (PSI) for Ergonomics Using Joint Angle and Neural Network
Ashwin Baskar, D Rajeswari · 2023
Ergonomics is the efficiency underlining in the subjective environment. They help in leverage sound health. It is important to maintain the correct postures for safer, healthier, and more efficient result in the subjective environment. After the evolution of virtual reality aided by Artificial Intelligence, there is high preference among users towards remote learning. Tutoring and evaluating the postures in the fields like dance or yoga remotely requires measures to indicate the correctness of the learner. The proposed model helps in identifying this measure of posture of subjected person with that of the tutors and thus helps in automating the events. This leads to effective and remote evaluation of large observations with help of Image Processing. With a performance of around 0.77 as F1 score the object detection model shows promising results followed by the object tracking and skeleton extraction.