Human-error-potential Estimation based on Wearable Biometric Sensors

Hiroki Ohashi, Hiroto Nagayoshi

2021

Abstract

This study tackles on a new problem of estimating human-error potential on a shop floor on the basis of wearable sensors. Unlike existing studies that utilize biometric sensing technology to estimate people’s internal state such as fatigue and mental stress, we attempt to estimate the human-error potential in a situation where a target person does not stay calm, which is much more difficult as sensor noise significantly increases. We propose a novel formulation, in which the human-error-potential estimation problem is reduced to a classification problem, and introduce a new method that can be used for solving the classification problem even with noisy sensing data. The key ideas are to model the process of calculating biometric indices probabilistically so that the prior knowledge on the biometric indices can be integrated, and to utilize the features that represent the movement of target persons in combination with biometric features. The experimental analysis showed that our method effectively estimates the human-error potential.

Paper Citation

in Harvard Style

Ohashi H. and Nagayoshi H. (2021). Human-error-potential Estimation based on Wearable Biometric Sensors. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR; ISBN 978-989-758-533-3, SciTePress, pages 110-120. DOI: 10.5220/0010642400003064

in Bibtex Style

@conference{kdir21,
author={Hiroki Ohashi and Hiroto Nagayoshi},
title={Human-error-potential Estimation based on Wearable Biometric Sensors},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR},
year={2021},
pages={110-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010642400003064},
isbn={978-989-758-533-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 1: KDIR
TI - Human-error-potential Estimation based on Wearable Biometric Sensors
SN - 978-989-758-533-3
AU - Ohashi H.
AU - Nagayoshi H.
PY - 2021
SP - 110
EP - 120
DO - 10.5220/0010642400003064
PB - SciTePress