Statistical Analysis of Index Values Extracted from Outdoor Agricultural Workers Motion Data
Shinji Kawakura, Ryosuke Shibasaki · Journal of Advanced Agricultural Technologies · 2014
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.