ABSTRACT

It’s the computer era and pcs (personal computers) are daily used by thousands of people. When people at work they used pcs (personal computers) minimum for four hours per day which cause a lots of pain in a various parts of the body .Computer Vision Syndrome (CVS), low back pain, tightness headaches and psychosocial pressure are some common problem faced by computer users. Rapid Upper Limb Assessment (RULA) is a method concerned with work related to upper part of the body which includes wrist position, upper arm position, lower arm position, neck position and trunk position. RULA done manual calculations by entering values into the work sheet equivalent to the position which is observed, if there are bulky numbers of working employees it means manual calculations are 350more, it can become monotonous if many activities and corresponding postures need to be analyzed and there are more chances of subjective biasness. In this paper, Computer Aided Rapid Upper Limb Assessment (CARULA) will help to decide the correct work posture analysis for industry. The present work focused on the calculation of RULA score with the help of introducing new algorithm CARULA which is quite efficient and precise than the manual calculations. CARULA has been computerized to calculations in a user friendly environment with pictorial representation using MATLAB. We have tested this CARULA by analyzing on 10 different work posture; CARULA is relatively much faster and significantly reduced the risk of subjective biasness as compared to manual RULA.