Measurement Method of Musculoskeletal Health Status by the Motion Analysis on VR Contents based Agricultural Work

가상현실 콘텐츠 기반의 농작업 동작 분석을 통한 근골격계 건강상태 측정방법

Abstract

Musculoskeletal disorders show symptoms of pain and dysfunction caused by accumulation of minute damage on nerves and blood vessels which are related to specific body parts. This is more likely to occur in the elderly. In Korea, 40.3% of the agricultural population is over 65 years old. In these cases, the portion of musculoskeletal disorders is more than 80% in acute/chronic diseases related to agricultural work. Therefore, measures for physical health care and safety prevention of elderly farmers are needed. In this study, we intend to propose a method to measure musculoskeletal health condition through the motion recognition device and VR contents. For this, we analyze the agricultural work causing musculoskeletal disorders of farmers, and suggest a motion analysis algorithm that can measure the health condition of the musculoskeletal system. In addition, we are going to propose a training method customized for farmers on the basis of VR contents in order to prevent musculoskeletal disorders.

Fig. 1. Diagram of motion analysis system for MSDs measurement.

Fig. 2. Kind of Depth Camera.

Fig. 3. Step-by-step Skeleton Data Generation.

Fig. 4. Motion Analysis Algorithm for MSDs measurement.

Fig. 5. VR Contents Design.

Fig. 6. Motion recognition result.

Fig. 7. VR Contents for MSDs Training.

Table 1. Classification of crops and agriculture for analysis of musculoskeletal behavior

Table 2. Joint Numbering

Table 3. Body part joint association

Table 4. Motion recognition record