Gaze-based Attention Recognition for Human-Robot Collaboration
Author:
Affiliation:
1. Human-Centered Artificial Intelligence, University of Augsburg, Germany
2. CONSIGLIO NAZIONALE DELLE RICERCHE - CNR, Italy
Funder
Horizon 2020 Framework Programme
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3594806.3594819
Reference18 articles.
1. A Gaze-Based Driver Distraction Warning System and Its Effect on Visual Behavior
2. Valentin Bazarevsky , Yury Kartynnik , Andrey Vakunov , Karthik Raveendran , and Matthias Grundmann . 2019 . Blazeface: Sub-millisecond neural face detection on mobile gpus. arXiv preprint arXiv:1907.05047 (2019). Valentin Bazarevsky, Yury Kartynnik, Andrey Vakunov, Karthik Raveendran, and Matthias Grundmann. 2019. Blazeface: Sub-millisecond neural face detection on mobile gpus. arXiv preprint arXiv:1907.05047 (2019).
3. How to Describe Interaction with a Collaborative Robot
4. Deep transfer learning-based gaze tracking for behavioral activity recognition
5. Anticipatory robot control for efficient human-robot collaboration
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1. Gaze detection as a social cue to initiate natural human-robot collaboration in an assembly task;Frontiers in Robotics and AI;2024-07-17
2. TeleAware Robot: Designing Awareness-augmented Telepresence Robot for Remote Collaborative Locomotion;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-05-13
3. Behavioral patterns in robotic collaborative assembly: comparing neurotypical and Autism Spectrum Disorder participants;Frontiers in Psychology;2023-10-26
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