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  5. Effect of Fixed and sEMG-Based Adaptive Shared Steering Control on Distracted Driver Behavior
 
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2022
Zweitveröffentlichung
Artikel
Verlagsversion

Effect of Fixed and sEMG-Based Adaptive Shared Steering Control on Distracted Driver Behavior

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Hauptpublikation
sensors-21-07691.pdf
CC BY 4.0 International
Format: Adobe PDF
Size: 2.12 MB
TUDa URI
tuda/7797
URN
urn:nbn:de:tuda-tuprints-200766
DOI
10.26083/tuprints-00020076
Autor:innen
Wang, Zheng ORCID 0000-0002-7589-7954
Suga, Satoshi
Nacpil, Edric John Cruz
Yang, Bo ORCID 0000-0001-8976-5971
Nakano, Kimihiko
Kurzbeschreibung (Abstract)

Driver distraction is a well-known cause for traffic collisions worldwide. Studies have indicated that shared steering control, which actively provides haptic guidance torque on the steering wheel, effectively improves the performance of distracted drivers. Recently, adaptive shared steering control based on the forearm muscle activity of the driver has been developed, although its effect on distracted driver behavior remains unclear. To this end, a high-fidelity driving simulator experiment was conducted involving 18 participants performing double lane change tasks. The experimental conditions comprised two driver states: attentive and distracted. Under each condition, evaluations were performed on three types of haptic guidance: none (manual), fixed authority, and adaptive authority based on feedback from the forearm surface electromyography of the driver. Evaluation results indicated that, for both attentive and distracted drivers, haptic guidance with adaptive authority yielded lower driver workload and reduced lane departure risk than manual driving and fixed authority. Moreover, there was a tendency for distracted drivers to reduce grip strength on the steering wheel to follow the haptic guidance with fixed authority, resulting in a relatively shorter double lane change duration.

Freie Schlagworte

driver–automation sha...

haptic guidance steer...

adaptive automation d...

surface electromyogra...

driver distraction

Sprache
Englisch
Fachbereich/-gebiet
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik
DDC
600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Titel der Zeitschrift / Schriftenreihe
Sensors
Jahrgang der Zeitschrift
21
Heftnummer der Zeitschrift
22
ISSN
1424-8220
Verlag
MDPI
Publikationsjahr der Erstveröffentlichung
2022
Verlags-DOI
10.3390/s21227691
PPN
500179824

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