ANALYSIS OF PHYSIOLOGICAL SIGNALS ON THE WEARABLE ASSIST SUIT FOR REPETITIVE AGRICULTURAL TASK

Abstract

Musculoskeletal disorders are the most common among farmers and farming constitutes the highest industrial accident rate. To prevent these, we developed a smart auxiliary workwear and investigated its effectiveness through human impact assessment experiments. In our method, the actuator of the waist elastic band was released when there was no need to directly adjust the length with the strength support of the waist, and the elastic band was held once the motion using the waist strength disappeared. To examine the performance, 15 workers were recruited; before the experiment, they were subjected to a basic fitness evaluation to examine their general characteristics. The lumbar peak torques before and after wearing the designed work clothes were measured using the Biodex System III to determine their lumbar assistance power, which was confirmed to have increased by approximately 17%. In addition, electromyographic comparison of the amount of muscle used before and after the wearing revealed that the muscle use was reduced by 26.41% and 19.38% after wearing the work clothes when the weight was lifted in the stooping and squatting postures, respectively. Based on these results, it can be stated that the proposed smart assistive work clothes could contribute to reduced muscle usage required for work and lessen related weariness by supporting the waist, and thus, would greatly help farmers in preventing musculoskeletal disorders.