Authors
Hiroki Tamura1, Keiko Sakurai1, *, Koichi Tanno2, Yasufumi Fuse3
1
Department of Environmental Robotics, Faculty of Engineering, University of Miyazaki, Miyazaki-shi, Miyazaki, Japan
2
Department of Electrical and Systems Engineering, University of Miyazaki, Miyazaki-shi, Miyazaki, Japan
3
Miyazaki Prefecture Industrial Technology Center, Miyazaki-shi, Miyazaki, Japan
*
Corresponding author. Email: [email protected]
Corresponding Author
Keiko Sakurai
Received 5 September 2018, Accepted 19 October 2018, Available Online 1 December 2018.
DOI
https://doi.org/10.2991/jrnal.2018.5.3.7How to use a DOI?
Keywords
Smartphone; lumbar burden; gyro sensor; state estimation; acceleration sensor; JACK
Abstract
In this paper, we propose the human lumbar burden evaluation method and state estimation system using a smartphone and an application on agricultural work. The proposed system consists of two functions: (1) “State estimation” has a function of estimating posture (Stand up, Sit down, Crouch, Walk, etc.,) of the subjects, (2) “Lumbar burden estimation” has a function to estimate the angle of the waist from the angle of the subject’s upper body and calculate the lumbar burden in combination with other parameters. The aim of this paper is to get the data of the subject’s work status in the agricultural field in a simple manner and quasi-real time and help improve the agricultural work efficiency by constructing the agricultural work burden evaluation system were using a smartphone. In this paper, we show on the experimental results of two functions and the evaluation of the actual agricultural work.

Copyright
© 2018 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).