作業姿勢分析における関節角度に基づくファジィ推論を用いた姿勢自動分類手法(人間工学)

概要

論文の詳細を見る
Workload depends on each persons working posture and a compelled posture causes their fatigue. In order to improve workload, working postures have been analyzed. But, it is difficult to collect and classify posture data correctly because existing work posture analysis depends on observer's eyes, not expert. In this study, we propose a work posture classification method focusing on the joint angle of workers. Our method classifies posture using fuzzy inference method based on some acquired joint angle data of workers from motion data. Indeterminable postures which overlap between segments of basic posture can be classified by using fuzzy inference method. From experiments, we found that the classification results of a posture had high accuracy.
バイオメディカル・ファジィ・システム学会の論文
2007-08-02