Results 271 to 280 of about 6,835,887 (313)
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Direction of gaze and distribution of cerebral thought processes
Neuropsychologia, 1974Abstract During verbal thought, subjects look right, and during spatial thought they look up and to the left. This effect is weakened or abolished if subjects are asked to hold central fixation, if they are confronted by an experimenter or by the sound of his voice, or if they are set to respond other than straight ahead.
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UnMoDE: Uncertainty Modeling for Driver Gaze Estimation via Feature Disentanglement
IEEE transactions on intelligent transportation systems (Print)Gaze estimation can be used for assessing the attention level of drivers. Current works predominantly focus on enhancing model accuracy, often overlooking the influence of input sample and label uncertainty.
Daosong Hu, Mingyue Cui, Kai Huang
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Combining Planning with Gaze for Online Human Intention Recognition
Adaptive Agents and Multi-Agent Systems, 2018Intention recognition is the process of using behavioural cues to infer an agent's goals or future behaviour. People use many behavioural cues to infer others' intentions, such as deliberative actions, facial expressions, eye gaze, and gestures.
Ronal Singh +5 more
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Merging Multiple Datasets for Improved Appearance-Based Gaze Estimation
International Conference on Pattern RecognitionMultiple datasets have been created for training and testing appearance-based gaze estimators. Intuitively, more data should lead to better performance. However, combining datasets to train a single esti-mator rarely improves gaze estimation performance.
Liang Wu, Bertram E. Shi
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Perception, 2007
Speech perception under natural conditions entails integration of auditory and visual information. Understanding how visual and auditory speech information are integrated requires detailed descriptions of the nature and processing of visual speech information.
Ian T, Everdell +4 more
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Speech perception under natural conditions entails integration of auditory and visual information. Understanding how visual and auditory speech information are integrated requires detailed descriptions of the nature and processing of visual speech information.
Ian T, Everdell +4 more
openaire +2 more sources
Modelling stochastic gaze distribution for multi-agent traffic simulation
2019The prospective safety impact assessment with multi-agent traffic simulation is an important approach for evaluating traffic safety effects of advanced driving assistance systems (ADAS) and automated driving systems, especially at their early development stage.
Witt, Manuela +4 more
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A REMOTE GAZE TRACKING SYSTEM USING GRAY-DISTRIBUTION-BASED VIDEO PROCESSING
Biomedical Engineering: Applications, Basis and Communications, 2012Gaze tracking has drawn increasing attention and applied wildly in the areas of disabled aids, medical diagnosis, etc. In this paper, a remote gaze tracking system is proposed. The system is video-based, and the video is captured under the illumination of near infrared light sources. Only one camera is employed in the system, which keeps the equipment
Xiao-Hui Yang +5 more
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Redirected head gaze to support AR meetings distributed over heterogeneous environments
2016 IEEE Virtual Reality (VR), 2016We demonstrate a method for redirecting gaze of virtual avatars in distributed augmented reality(AR) meetings. As social cues are a necessity for effective communication, our method tries to preserve gaze awareness, one of the key elements of a face-to-face meeting. When using AR to bring multiple sites together in a distributed meeting, with different
Taeheon Kim +2 more
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Indian Conference on Computer Vision, Graphics & Image Processing, 2018
With contemporary advancements of graphics engines, recent trend in deep learning community is to train models on automatically annotated simulated examples and apply on real data during test time. This alleviates the burden of manual annotation. However,
A. Lahiri, Abhinav Agarwalla, P. Biswas
semanticscholar +1 more source
With contemporary advancements of graphics engines, recent trend in deep learning community is to train models on automatically annotated simulated examples and apply on real data during test time. This alleviates the burden of manual annotation. However,
A. Lahiri, Abhinav Agarwalla, P. Biswas
semanticscholar +1 more source

