Movement Analysis of Agricultural Workers' Visual Data by Functions of OpenCV Focusing on Items Related to Human Dynamics

Shinji Kawakura, Department of Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan, Ryosuke Shibasaki
2017 Journal of Advanced Agricultural Technologies  
Agricultural workers have been pursuing agricultural technical advancements regarding directions, teaching. In this study, the authors have been developing some promising sensing and analyzing systems to solve various agricultural problems, especially by utilizing visual data relating to workers' real motions. The purpose of our prospective research was to prove the utility of our visual analysis system based on the recent OpenCV environment, and to indicate the numerical differences of unique
more » ... ferences of unique parameters between groups of experienced and inexperienced subjects. The authors have been applying the latest PC program libraries and packages of OpenCV in the analysis. The targeted field was situated in a common outer farm. The targeted work was common tilling (cultivating) using a general hoe. The authors selected time-line analyses and basic statistical analyses, accumulating subjects' fundamental data. Next, the authors performed computations by a wide range of methods concerning human dynamics, physiology, physics and statistics, and made corresponding suggestions in this study and related works. In future, the authors could indicate a range of differences between experienced and inexperienced subject groups from these results. These visual methods of analyzing systems' digital data could be important indicators concerning users' improvement of working movements and habits in outdoor fields. 
doi:10.18178/joaat.4.3.264-273 fatcat:jshwrd3jcbbe5kqpewghxekzo4