Gaze-based Attention Recognition for Human-Robot Collaboration-Reference-Cited by-同舟云学术

Gaze-based Attention Recognition for Human-Robot Collaboration

Published:2023-07-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
language:
Short-container-title:

Author:

Prajod Pooja¹^ORCID,Lavit Nicora Matteo²^ORCID,Malosio Matteo²^ORCID,André Elisabeth¹^ORCID

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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