On the selection of biosignals for the mental fatigue alarm system

Sittichai Iampetch; Yunyong Punsawad; Yodchanan Wongsawat

doi:10.1007/978-3-642-29305-4_531

On the selection of biosignals for the mental fatigue alarm system

Sittichai Iampetch
, Yunyong Punsawad
, Yodchanan Wongsawat

Department of Biomedical Engineering

Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Mental fatigue is one of the main causes on the traffic accidents. Seeking for the biosignal that can predict this human phenomenon is a challenging problem. In this paper, we setup the experiment to investigate the possible biosignal that can distinguish the metal fatigue from the normal condition. Simulated driving condition is created. The experimental results show that the average respiratory interval and the average eye blinking interval can efficiently distinguish between the normal and fatigue conditions.

Original language	English
Title of host publication	World Congress on Medical Physics and Biomedical Engineering
Pages	2023-2025
Number of pages	3
DOIs	https://doi.org/10.1007/978-3-642-29305-4_531
Publication status	Published - 2013
Event	World Congress on Medical Physics and Biomedical Engineering - Beijing, China Duration: 26 May 2012 → 31 May 2012

Publication series

Name	IFMBE Proceedings
Volume	39 IFMBE
ISSN (Print)	1680-0737

Conference

Conference	World Congress on Medical Physics and Biomedical Engineering
Country/Territory	China
City	Beijing
Period	26/05/12 → 31/05/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

ECG
EEG
EOG
Mental fatigue
driver

Access to Document

10.1007/978-3-642-29305-4_531

Cite this

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title = "On the selection of biosignals for the mental fatigue alarm system",

abstract = "Mental fatigue is one of the main causes on the traffic accidents. Seeking for the biosignal that can predict this human phenomenon is a challenging problem. In this paper, we setup the experiment to investigate the possible biosignal that can distinguish the metal fatigue from the normal condition. Simulated driving condition is created. The experimental results show that the average respiratory interval and the average eye blinking interval can efficiently distinguish between the normal and fatigue conditions.",

keywords = "ECG, EEG, EOG, Mental fatigue, driver",

author = "Sittichai Iampetch and Yunyong Punsawad and Yodchanan Wongsawat",

year = "2013",

doi = "10.1007/978-3-642-29305-4\_531",

language = "English",

isbn = "9783642293047",

series = "IFMBE Proceedings",

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booktitle = "World Congress on Medical Physics and Biomedical Engineering",

note = "World Congress on Medical Physics and Biomedical Engineering ; Conference date: 26-05-2012 Through 31-05-2012",

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TY - GEN

T1 - On the selection of biosignals for the mental fatigue alarm system

AU - Iampetch, Sittichai

AU - Punsawad, Yunyong

AU - Wongsawat, Yodchanan

PY - 2013

Y1 - 2013

N2 - Mental fatigue is one of the main causes on the traffic accidents. Seeking for the biosignal that can predict this human phenomenon is a challenging problem. In this paper, we setup the experiment to investigate the possible biosignal that can distinguish the metal fatigue from the normal condition. Simulated driving condition is created. The experimental results show that the average respiratory interval and the average eye blinking interval can efficiently distinguish between the normal and fatigue conditions.

AB - Mental fatigue is one of the main causes on the traffic accidents. Seeking for the biosignal that can predict this human phenomenon is a challenging problem. In this paper, we setup the experiment to investigate the possible biosignal that can distinguish the metal fatigue from the normal condition. Simulated driving condition is created. The experimental results show that the average respiratory interval and the average eye blinking interval can efficiently distinguish between the normal and fatigue conditions.

KW - ECG

KW - EEG

KW - EOG

KW - Mental fatigue

KW - driver

UR - https://www.scopus.com/pages/publications/84876016449

U2 - 10.1007/978-3-642-29305-4_531

DO - 10.1007/978-3-642-29305-4_531

M3 - Conference contribution

AN - SCOPUS:84876016449

SN - 9783642293047

T3 - IFMBE Proceedings

SP - 2023

EP - 2025

BT - World Congress on Medical Physics and Biomedical Engineering

T2 - World Congress on Medical Physics and Biomedical Engineering

Y2 - 26 May 2012 through 31 May 2012

ER -

On the selection of biosignals for the mental fatigue alarm system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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