Joo Kooi Tan1, Takaaki Yotsumoto2, Yuta Ono2
1Faculty of Engineering, Kyushu Institute of Technology, Sensuicho 1-1,
Tobata, Kitakyushu, Fukuoka 804-8550, Japan
2Graduate y of Engineering, Kyushu Institute of Technology, Sensuicho 1-1,
Tobata, Kitakyushu, Fukuoka 804-8550, Japan
pp. 289–294
ABSTRACT
In Japan, the population of working age between 15 and 64 years old peaked
in 1995 at about 87 million and is expected to continue to decline in the
future. Therefore, to solve the labor shortage, the introduction of industrial
robots that can perform the same level of work as humans is strongly requested
especially in the food preparation industry. In order to prevent danger
to workers there, industrial robots must recognize workers and avoid them
when there is fear of collision. In this paper, we propose a method for
extracting hand regions based on the color distribution of a hand and GrabCut
in an experimental environment to recognize human hands and detect their
directions of approach. The proposed method was examined experimentally
and gave satisfactory results.
ARTICLE INFO
Article History
Received 26 November 2021
Accepted 24 September 2022
Keywords
Recognition
Hand area extraction
Lab color system
Grab cut
JRNAL9313
Download article (PDF)