A Study on the Lumbar Burden Evaluation of Work using One Smartphone

Abstract

Smartphone lumbar burden gyro sensor state estimation acceleration sensor JACK A B S T R A C TIn 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.

Verification Experiments on the Lower Back Burden caused by Posture and Environment during Lifting Operations

“…The Japanese Ministry of Health, Labour and Welfare's "Guidelines for Prevention of Back Pain in the Workplace" recommends the knee-bend lifting method. The results of the previous study and the analysis using the "Yo-bukun" application for measuring back strain showed that the lifting method with the knees bent reduced the amount of back strain compared to the lifting method without knees bent [1], [2], [3]. In addition, the previous study showed that the lifting method with the knees bent was associated with a lower EMG burden when the lifting object was located close to the body's center of gravity [4], [5].…”

A Feasibility Study on Methods to Measure the Strain on Young Children's Bodies.

“…The Yo-bukun application [6], [7], a collaborative effort between the Faculty of Engineering at Miyazaki University and Densan Corporation in 2022, is an iPhone application quantifying and displaying lower back burden. This application is calibrated when the user stands upright, and calculates the amount of lumbar burden based on the tilt of the iPhone.…”

Development of Smartphone Application for Calculating the Low Back Pain Risk

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