A study on the reduction of mowing work burden for maintaining landscapes in rural areas: Experiment design for mowing behaviors analyze

Although the researches on automatic mowing has made some achievements, most of the mowing work is done by hand work. Incorrect postures while mowing can put a heavy labor burden and may lead to slip and fall and sometimes brings a result of death especially in slope areas. In this paper, we focus on the mowing work on the slope areas and designed an experiment which can capture subjects' behaviors data with motion capture and eye tracking technology. The experiment system can combine the data which collected from mowing experts, and finally a highly accurate composite behavioral model for mowing will be proposed, which can be used to training the mowing works who doesn't have much experience. The finding may helpful to promote safe and efficient mowing behaviors and benefit to many other areas such as labor education, elderly healthcare care and environmental conservation.