INTELLIGENT SYSTEM FOR KNEE ERGONOMIC POSITION ANALYSIS DURING LIFTING LOADS

Vanessa C. ERAZO-CHAMORRO, Ricardo P. ARCINIEGA-ROCHA, Angel L. MALDONADO-MÉNDEZ, Paúl D. ROSERO-MONTALVO, Gyula SZABO

Abstract


Adopting an ergonomic position during lifting loads in sports or work activities allows for reducing the negative impact produced by the wrong knee position during the development of different tasks. Movements in an erroneous way can cause muscle illness and lumbar injuries. The present electronic system acquires the data of the Smith bar and the position by means of accelerometer sensors. Using this system is implemented an intelligent device that allows recognizing if the activity/task is performed properly and gives the person feedback for improving the movement. As a result, after applying algorithms of machine learning to the system, it is determined also that more than 80% of workers are adopting dangerous positions during the tasks of lifting loads.

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