Abstract—We have been developing various kinds of promising applied sensing systems to resolve difficulty in achieving agricultural advancement, technical tradition (teaching), and safety issues. Existing methods and systems are not enough to analyze human motion minutely, simply, and at low-cost. For the purpose, we have also been developing Wearable Sensing Systems (WSs), including advanced devices, to secure real-time data related to worker motion by analyzing human dynamics and statistics in rice fields, meadows, and gardens. We have obtained and observed those time-line data, computed by some statistical methods, discussed about them, and make some suggestions concerning them. Our plans would make it possible for us to improve worker agricultural skills and to enhance their safety level.

Index Terms—wearable sensing system, statistical analysis, tradition of skill, support for workers, detecting crisis, integrated sensor system

Cite: Shinji Kawakura and Ryosuke Shibasaki, "Statistical Analysis of Index Values Extracted from Outdoor Agricultural Workers Motion Data," Journal of Advanced Agricultural Technologies, Vol. 1, No. 1, pp. 69-74, June 2014. Doi: 10.12720/joaat.1.1.69-74