A Head Motion Recognition Approach for Alertness Detection

Kam Wing Huang; Bruno J. Silva; Gerhard P. Hancke

doi:10.1109/INDIN51773.2022.9976115

A Head Motion Recognition Approach for Alertness Detection

Kam Wing Huang, Bruno J. Silva, Gerhard P. Hancke

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Alertness detection is an important component of systems used to detect driver fatigue in order to prevent road accidents. Various approaches have been proposed in literature, including the use of sensors that track physiological markers and camera based systems that rely on computer vision techniques to track facial markers. In this paper, we adopt liveness detection to determine alertness. Liveness detection is a method used in biometrics to determine if a face, or fingerprint, is from a live person. The results show that the approach is robust to different lighting conditions.

Original language	English
Title of host publication	2022 IEEE 20th International Conference on Industrial Informatics (INDIN)
Publisher	IEEE
Pages	245-250
ISBN (Electronic)	978-1-7281-7568-3
DOIs	https://doi.org/10.1109/INDIN51773.2022.9976115
Publication status	Published - 2022
Event	20th IEEE International Conference on Industrial Informatics (INDIN 2022) - Perth, Australia Duration: 25 Jul 2022 → 28 Jul 2022

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
Volume	2022-July
ISSN (Print)	1935-4576

Conference

Conference	20th IEEE International Conference on Industrial Informatics (INDIN 2022)
Country/Territory	Australia
City	Perth
Period	25/07/22 → 28/07/22

Funding

This work was supported by the Research Grants Council of Hong Kong under project CityU 11214620.

Research Keywords

driver fatigue
head pose
liveness detection

UN SDGs

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

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10.1109/INDIN51773.2022.9976115

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Permanent Link

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Cite this

@inproceedings{e5c144073f75490d8de6a426fdd638ff,

title = "A Head Motion Recognition Approach for Alertness Detection",

abstract = "Alertness detection is an important component of systems used to detect driver fatigue in order to prevent road accidents. Various approaches have been proposed in literature, including the use of sensors that track physiological markers and camera based systems that rely on computer vision techniques to track facial markers. In this paper, we adopt liveness detection to determine alertness. Liveness detection is a method used in biometrics to determine if a face, or fingerprint, is from a live person. The results show that the approach is robust to different lighting conditions.",

keywords = "driver fatigue, head pose, liveness detection",

author = "Huang, {Kam Wing} and Silva, {Bruno J.} and Hancke, {Gerhard P.}",

year = "2022",

doi = "10.1109/INDIN51773.2022.9976115",

language = "English",

series = "IEEE International Conference on Industrial Informatics (INDIN)",

publisher = "IEEE",

pages = "245--250",

booktitle = "2022 IEEE 20th International Conference on Industrial Informatics (INDIN)",

address = "United States",

note = "20th IEEE International Conference on Industrial Informatics (INDIN 2022) ; Conference date: 25-07-2022 Through 28-07-2022",

}

Huang, KW, Silva, BJ & Hancke, GP 2022, A Head Motion Recognition Approach for Alertness Detection. in 2022 IEEE 20th International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), vol. 2022-July, IEEE, pp. 245-250, 20th IEEE International Conference on Industrial Informatics (INDIN 2022), Perth, Australia, 25/07/22. https://doi.org/10.1109/INDIN51773.2022.9976115

A Head Motion Recognition Approach for Alertness Detection. / Huang, Kam Wing; Silva, Bruno J.; Hancke, Gerhard P.
2022 IEEE 20th International Conference on Industrial Informatics (INDIN). IEEE, 2022. p. 245-250 (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2022-July).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Head Motion Recognition Approach for Alertness Detection

AU - Huang, Kam Wing

AU - Silva, Bruno J.

AU - Hancke, Gerhard P.

PY - 2022

Y1 - 2022

N2 - Alertness detection is an important component of systems used to detect driver fatigue in order to prevent road accidents. Various approaches have been proposed in literature, including the use of sensors that track physiological markers and camera based systems that rely on computer vision techniques to track facial markers. In this paper, we adopt liveness detection to determine alertness. Liveness detection is a method used in biometrics to determine if a face, or fingerprint, is from a live person. The results show that the approach is robust to different lighting conditions.

AB - Alertness detection is an important component of systems used to detect driver fatigue in order to prevent road accidents. Various approaches have been proposed in literature, including the use of sensors that track physiological markers and camera based systems that rely on computer vision techniques to track facial markers. In this paper, we adopt liveness detection to determine alertness. Liveness detection is a method used in biometrics to determine if a face, or fingerprint, is from a live person. The results show that the approach is robust to different lighting conditions.

KW - driver fatigue

KW - head pose

KW - liveness detection

UR - http://www.scopus.com/inward/record.url?scp=85145772500&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85145772500&origin=recordpage

U2 - 10.1109/INDIN51773.2022.9976115

DO - 10.1109/INDIN51773.2022.9976115

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - IEEE International Conference on Industrial Informatics (INDIN)

SP - 245

EP - 250

BT - 2022 IEEE 20th International Conference on Industrial Informatics (INDIN)

PB - IEEE

T2 - 20th IEEE International Conference on Industrial Informatics (INDIN 2022)

Y2 - 25 July 2022 through 28 July 2022

ER -

A Head Motion Recognition Approach for Alertness Detection

Abstract

Publication series

Conference

Funding

Research Keywords

UN SDGs

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Other Access Options

Permanent Link

Other Files and Links

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GRF: Error-Correcting Response Functions for Distance-Bounding Protocols

Cite this

A Head Motion Recognition Approach for Alertness Detection

Abstract

Publication series

Conference

Funding

Research Keywords

UN SDGs

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

GRF: Error-Correcting Response Functions for Distance-Bounding Protocols

Cite this