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Christer Ahlström
Christer Ahlström
Associate Professor and Senior Researcher at the Swedish National Road and Transport Research (VTI)
vti.se üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
The impact of tunnel design and lighting on the performance of attentive and visually distracted drivers
K Kircher, C Ahlstrom
Accident Analysis & Prevention 47, 153-161, 2012
2032012
Feature extraction for systolic heart murmur classification
C Ahlstrom, P Hult, P Rask, JE Karlsson, E Nylander, U Dahlström, P Ask
Annals of biomedical engineering 34 (11), 1666-1677, 2006
1842006
Effects of electronic billboards on driver distraction
T Dukic, C Ahlstrom, C Patten, C Kettwich, K Kircher
Traffic injury prevention 14 (5), 469-476, 2013
1602013
Automatic driver sleepiness detection using EEG, EOG and contextual information
S Barua, MU Ahmed, C Ahlström, S Begum
Expert Systems with Applications 115, 121-135, 2019
1502019
Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients
C Ahlstrom, A Johansson, F Uhlin, T Länne, P Ask
Journal of Artificial Organs 8 (3), 192-197, 2005
1492005
Minimum required attention: a human-centered approach to driver inattention
K Kircher, C Ahlstrom
Human factors 59 (3), 471 - 484, 2017
1452017
A gaze-based driver distraction warning system and its effect on visual behavior
C Ahlstrom, K Kircher, A Kircher
IEEE Transactions on Intelligent Transportation Systems 14 (2), 965-973, 2013
1382013
The driver distraction detection algorithm AttenD
K Kircher, C Ahlström
Driver Distraction and Inattention: Advances in Research and Countermeasures …, 2013
117*2013
Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving
H Mårtensson, O Keelan, C Ahlström
IEEE Transactions on Intelligent Transportation Systems 20 (2), 421-430, 2019
1102019
Fit-for-duty test for estimation of drivers’ sleepiness level: Eye movements improve the sleep/wake predictor
C Ahlstrom, M Nyström, K Holmqvist, C Fors, D Sandberg, A Anund, ...
Transportation research part C: emerging technologies 26, 20-32, 2013
1022013
Heart rate variability for classification of alert versus sleep deprived drivers in real road driving conditions
A Persson, H Jonasson, I Fredriksson, U Wiklund, C Ahlström
IEEE Transactions on Intelligent Transportation Systems 22 (6), 3316-3325, 2020
962020
Processing of eye/head-tracking data in large-scale naturalistic driving data sets
C Ahlstrom, T Victor, C Wege, E Steinmetz
IEEE Transactions on Intelligent Transportation Systems 13 (2), 553-564, 2011
962011
Interface design of eco-driving support systems–Truck drivers’ preferences and behavioural compliance
C Fors, K Kircher, C Ahlström
Transportation Research Part C: Emerging Technologies 58, 706-720, 2015
732015
Continuous versus intermittent presentation of visual eco-driving advice
K Kircher, C Fors, C Ahlstrom
Transportation Research Part F: Traffic Psychology and Behaviour 24, 27-38, 2014
732014
Comparison of two eye-gaze based real-time driver distraction detection algorithms in a small-scale field operational test
K Kircher, C Ahlstrom, A Kircher
Proc. 5th Int. Symposium on Human Factors in Driver Assessment, Training and …, 2009
722009
Processing of the Phonocardiographic Signal: methods for the intelligent stethoscope
C Ahlström
Institutionen för medicinsk teknik, 2006
692006
Effects of the road environment on the development of driver sleepiness in young male drivers.
C Ahlström, A Anund, C Fors, T Åkerstedt
Accident Analysis & Prevention 112, 127-134, 2018
642018
Bicyclists’ visual strategies when conducting self-paced vs. system-paced smartphone tasks in traffic
C Ahlstrom, K Kircher, B Thorslund, E Adell
Transportation research part F: traffic psychology and behaviour 41, 204-216, 2016
642016
A multi-stage, multi-feature machine learning approach to detect driver sleepiness in naturalistic road driving conditions
B Bakker, B Zabłocki, A Baker, V Riethmeister, B Marx, G Iyer, A Anund, ...
IEEE Transactions on Intelligent Transportation Systems 23 (5), 4791-4800, 2021
622021
Use of signal analysis of heart sounds and murmurs to assess severity of mitral valve regurgitation attributable to myxomatous mitral valve disease in dogs
I Ljungvall, C Ahlstrom, K Höglund, P Hult, C Kvart, M Borgarelli, P Ask, ...
American journal of veterinary research 70 (5), 604-613, 2009
622009
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