Various Advanced Statistical Analyses of Index Values Extracted from Outdoor Agricultural Workers Motion Data

We have been grouping and developing various kinds
of practical, promising sensing applied systems concerning
agricultural advancement and technical tradition (guidance). These
include advanced devices to secure real-time data related to worker
motion, and we analyze by methods of various advanced statistics and
human dynamics (e.g. primary component analysis, Ward system
based cluster analysis, and mapping). What is more, we have been
considering worker daily health and safety issues. Targeted fields are
mainly common farms, meadows, and gardens. After then, we
observed and discussed time-line style, changing data. And, we made
some suggestions. The entire plan makes it possible to improve both
the aforementioned applied systems and farms.

• Shinji Kawakura
• Ryosuke Shibasaki

• Advanced statistical analysis
• wearable sensing system
• tradition of skill
• supporting for workers
• detecting crisis.

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