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Evaluating Remote and Head-worn Eye Trackers in Multi-modal..:
, In:
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
,
Barz, Michael
;
Poller, Peter
;
Sonntag, Daniel
- p. 79-80 , 2017
Link:
https://dl.acm.org/doi/10.1145/3029798.3038367
RT T1 <cTitle>Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction</cTitle>: T1 <Title>Evaluating Remote and Head-worn Eye Trackers in Multi-modal Speech-based HRI</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3038367&Exemplar=1&LAN=DE A1 Barz, Michael A1 Poller, Peter A1 Sonntag, Daniel PB ACM YR 2017 K1 eye tracking K1 human-centred computing K1 human-robot interaction K1 machine learning K1 multi-modal interaction K1 Human-centered computing K1 Human computer interaction (HCI) K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Robotics SP 79 OP 80 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3029798.3038367 DO https://dl.acm.org/doi/10.1145/3029798.3038367 SF ELIB - SuUB Bremen
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