Participants judge where they think the ball fell from based on visual and auditory evidence. We track participants' eye-gaze to gain deeper insight into their ...
Hi Ari great work! I have a small confusion about what x represents in the formula (e.g., why it could be integrated?)
Duration: 3:03
Posted: Jul 8, 2021
Posted: Jul 8, 2021
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Jun 22, 2023 · iMotions develops a software platform that enables users to collect, fuse and analyze data from sensors measuring a wide range of biometric responses.
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Mar 21, 2022 · We compare unimodal EEG and eye tracking classification of internally and externally directed attention to multimodal approaches for early, middle, and late ...
Abstract. Multimodal interactions provide users with more natural ways to interact with virtual environments than using traditional input methods.
May 30, 2023 · Our main research focus will be to develop multimodal solutions based on eye tracking and bio-signals for cognitive load assessment.
The dataset combines both objective and subjective performance evaluation. Wide variety of eye tracking data, high number of participants.
In this paper, we present EV-Eye, a first-of-its-kind large-scale multimodal eye tracking dataset aimed at inspiring research on high-frequency eye/gaze ...
The chapter gives an overview over different ways how eye-tracking methodology can be used in the research on multimodality. Various application areas ...