The Intelligent Power Nap System for Restoring Behavioral Capabilities in Sleepy Drivers

Cheng, S-Y; Kuo, X-M; Tsai, CH; Chang, S-W; Hsieh, T-H; Wang, Y-K; Liang, S-F

The Intelligent Power Nap System for Restoring Behavioral Capabilities in Sleepy Drivers

Cheng, S-Y Kuo, X-M Tsai, CH Chang, S-W Hsieh, T-H Wang, Y-K Liang, S-F

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2025 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 2025, 00, pp. 1-5
Issue Date:: 2025-12-15

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Field	Value	Language
dc.contributor.author	Cheng, S-Y
dc.contributor.author	Kuo, X-M
dc.contributor.author	Tsai, CH
dc.contributor.author	Chang, S-W
dc.contributor.author	Hsieh, T-H
dc.contributor.author	Wang, Y-K
dc.contributor.author	Liang, S-F
dc.date	2025-11-05
dc.date.accessioned	2026-02-09T05:51:38Z
dc.date.available	2026-02-09T05:51:38Z
dc.date.issued	2025-12-15
dc.identifier.citation	2025 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 2025, 00, pp. 1-5
dc.identifier.isbn	978-1-6654-5793-4
dc.identifier.issn	2377-5823
dc.identifier.uri	http://hdl.handle.net/10453/193113
dc.description.abstract	Drowsiness significantly increases the risk of accidents and degrades the driver s performance by reducing attention and concentration Various fatigue driving detection studies and technologies have been proposed but few of them have thoroughly assessed the efficacy of sleep based recovery techniques This study investigates whether a controlled Power Nap may successfully improve fatigue related driving performance A total of 10 participants responded to lane deviation events throughout three sessions of driving in a driving simulator which are regular driving fatigue driving brought on by extended cognitive demands and post rest driving conducted after finishing both the fatigue driving session and a controlled Power Nap Lane deviation events were simulated by controlled steering wheel perturbation Subjects reaction time to lane deviation events were used as an indicator of fatigue level We minimized sleep inertia by monitoring sleep stages and ensuring naps stayed in non deep sleep phases using an EEG based Powernap mobile application Statistical analysis revealed a significant increase in reaction time after fatigue induction mathrm t 9 10 99 mathrm p 0 001 and a significant reduction following the Power Nap mathrm t 9 8 26 mathrm p 0 001 The results show that the suggested mobile nap system successfully lowered reaction times to nearly normal levels These results support the idea that short controlled naps that follow the Intelligent Rest Strategies can speed up recuperation from sleep related exhaustion and improve road safety
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2025 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
dc.relation.ispartof	2025 International Conference on Fuzzy Theory and Its Applications
dc.relation.isbasedon	10.1109/ifuzzy67152.2025.11286964
dc.rights	info:eu-repo/semantics/openAccess
dc.title	The Intelligent Power Nap System for Restoring Behavioral Capabilities in Sleepy Drivers
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Hsinchu, Taiwan
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Australian Artificial Intelligence Institute (AAII)
utslib.copyright.status	open_access	*
dc.date.updated	2026-02-09T05:51:33Z
pubs.finish-date	2025-11-08
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2025-11-05
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

Drowsiness significantly increases the risk of accidents and degrades the driver s performance by reducing attention and concentration Various fatigue driving detection studies and technologies have been proposed but few of them have thoroughly assessed the efficacy of sleep based recovery techniques This study investigates whether a controlled Power Nap may successfully improve fatigue related driving performance A total of 10 participants responded to lane deviation events throughout three sessions of driving in a driving simulator which are regular driving fatigue driving brought on by extended cognitive demands and post rest driving conducted after finishing both the fatigue driving session and a controlled Power Nap Lane deviation events were simulated by controlled steering wheel perturbation Subjects reaction time to lane deviation events were used as an indicator of fatigue level We minimized sleep inertia by monitoring sleep stages and ensuring naps stayed in non deep sleep phases using an EEG based Powernap mobile application Statistical analysis revealed a significant increase in reaction time after fatigue induction mathrm t 9 10 99 mathrm p 0 001 and a significant reduction following the Power Nap mathrm t 9 8 26 mathrm p 0 001 The results show that the suggested mobile nap system successfully lowered reaction times to nearly normal levels These results support the idea that short controlled naps that follow the Intelligent Rest Strategies can speed up recuperation from sleep related exhaustion and improve road safety

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http://hdl.handle.net/10453/193113