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Driving Simulator
Skin Conductance
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Multimodal Recognition of Cognitive Workload for Multitasking in the Car
Multimodal Recognition of Cognitive Workload for Multitasking in the Car,10.1109/ICPR.2010.913,Felix Putze,Jan-Philip Jarvis,Tanja Schultz
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Multimodal Recognition of Cognitive Workload for Multitasking in the Car
(
Citations: 3
)
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Felix Putze
,
Jan-Philip Jarvis
,
Tanja Schultz
This work describes the development and evaluation of a recognizer for different levels of cognitive workload in the car. We collected multiple biosignal streams (skin conductance, pulse, respiration, EEG) during an experiment in a
driving simulator
in which the drivers performed a primary driving task and several secondary tasks of varying difficulty. From this data, an SVM based workload classifier was trained and evaluated, yielding recognition rates of up to for three levels of workload.
Conference:
International Conference on Pattern Recognition - ICPR
, pp. 3748-3751, 2010
DOI:
10.1109/ICPR.2010.913
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Citation Context
(3)
...HMI in Dynamic Environments: In a driving simulator, we are working on cognitive interaction systems in the car that are able to adapt to inner states of the driver [7], [
8
]...
Dominic Heger
,
et al.
BiosignalsStudio: A Flexible Framework for Biosignal Capturing and Pro...
...Putze, Jarvis, and Schultz [
5
] proposed a multimodal recognizer for different levels of cognitive workload...
Dominic Heger
,
et al.
Online Workload Recognition from EEG Data during Cognitive Tests and H...
...Putze, Jarvis and Schultz [
5
] proposed a multi-modal approach, taking into account biological signals such as skin conductance, pulse and respiration and EEG, to classify several levels of workload during a driving task...
Brice Rebsamen
,
et al.
EEG-Based Measure of Cognitive Workload during a Mental Arithmetic Tas...
References
(4)
Detecting stress during real-world driving tasks using physiological sensors
(
Citations: 84
)
Jennifer A. Healey
,
Rosalind W. Picard
Journal:
IEEE Transactions on Intelligent Transportation Systems - TITS
, vol. 6, no. 2, pp. 156-166, 2005
Determine Task Demand from Brain Activity
(
Citations: 5
)
Matthias Honal
,
Tanja Schultz
Published in 2008.
A Practical Guide to Support Vector Classification
(
Citations: 813
)
Chih-Wei Hsu
,
Chih-Chung Chang
,
Chih-Jen Lin
Published in 2008.
Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines
(
Citations: 26
)
Yulan Liang
,
Michelle L. Reyes
,
John D. Lee
Journal:
IEEE Transactions on Intelligent Transportation Systems - TITS
, vol. 8, no. 2, pp. 340-350, 2007
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Citations
(3)
BiosignalsStudio: A Flexible Framework for Biosignal Capturing and Processing
(
Citations: 2
)
Dominic Heger
,
Felix Putze
,
Christoph Amma
,
Michael Wand
,
Igor Plotkin
,
Thomas Wielatt
,
Tanja Schultz
Conference:
German Conference on Artificial Intelligence - KI
, pp. 33-39, 2010
Online Workload Recognition from EEG Data during Cognitive Tests and Human-Machine Interaction
(
Citations: 2
)
Dominic Heger
,
Felix Putze
,
Tanja Schultz
Conference:
German Conference on Artificial Intelligence - KI
, pp. 410-417, 2010
EEG-Based Measure of Cognitive Workload during a Mental Arithmetic Task
Brice Rebsamen
,
Kenneth Kwok
,
Trevor B. Penney