Scipediacontent: Scipediacontent moved page Draft Content 511791581 to Schuller et al 2020b

2021-02-16T10:07:16Z

Scipediacontent moved page Draft Content 511791581 to Schuller et al 2020b

Scipediacontent: Created page with " == Abstract == Lane-keeping assistance systems for vehicles may be more acceptable to users if the assistance was adaptive to the driver's state. To adapt systems in this wa..."

2021-02-16T10:07:12Z

Created page with " == Abstract == Lane-keeping assistance systems for vehicles may be more acceptable to users if the assistance was adaptive to the driver's state. To adapt systems in this wa..."

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== Abstract ==

Lane-keeping assistance systems for vehicles may be more acceptable to users if the assistance was adaptive to the driver's state. To adapt systems in this way, a method for detection of driver distraction is needed. Thus, we propose a novel technique for online detection of driver's distraction, modeling the long-range temporal context of driving and head tracking data. We show that long short-term memory (LSTM) recurrent neural networks enable a reliable subject-independent detection of inattention with an accuracy of up to 96.6%. Thereby, our LSTM framework significantly outperforms conventional approaches such as support vector machines (SVMs).

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10044/1/13933 http://hdl.handle.net/10044/1/13933] under the license http://www.rioxx.net/licenses/all-rights-reserved

* [http://xplorestaging.ieee.org/ielx5/6979/5779921/05732698.pdf?arnumber=5732698 http://xplorestaging.ieee.org/ielx5/6979/5779921/05732698.pdf?arnumber=5732698],
: [http://dx.doi.org/10.1109/tits.2011.2119483 http://dx.doi.org/10.1109/tits.2011.2119483]

* [https://dblp.uni-trier.de/db/journals/tits/tits12.html#WollmerBSSFMT11 https://dblp.uni-trier.de/db/journals/tits/tits12.html#WollmerBSSFMT11],
: [https://ieeexplore.ieee.org/document/5732698 https://ieeexplore.ieee.org/document/5732698],
: [http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005732698 http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005732698],
: [https://trid.trb.org/view/1107952 https://trid.trb.org/view/1107952],
: [http://ieeexplore.ieee.org/document/5732698 http://ieeexplore.ieee.org/document/5732698],
: [https://doi.org/10.1109/TITS.2011.2119483 https://doi.org/10.1109/TITS.2011.2119483],
: [https://dl.acm.org/doi/10.1109/TITS.2011.2119483 https://dl.acm.org/doi/10.1109/TITS.2011.2119483],
: [https://dx.doi.org/10.1109/TITS.2011.2119483 https://dx.doi.org/10.1109/TITS.2011.2119483],
: [https://spiral.imperial.ac.uk/handle/10044/1/13933 https://spiral.imperial.ac.uk/handle/10044/1/13933],
: [https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_363092_38 https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_363092_38],
: [https://academic.microsoft.com/#/detail/2166880842 https://academic.microsoft.com/#/detail/2166880842]

* [https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/73306 https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/73306],
: [https://doi.org/10.1109/TITS.2011.2119483 https://doi.org/10.1109/TITS.2011.2119483]

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Schuller et al 2020b - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 511791581 to Schuller et al 2020b

Scipediacontent: Created page with " == Abstract == Lane-keeping assistance systems for vehicles may be more acceptable to users if the assistance was adaptive to the driver's state. To adapt systems in this wa..."