PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots-Reference-Cited by-同舟云学术

PriMA-Care: Privacy-Preserving Multi-modal Dataset for Human Activity Recognition in Care Robots

Published:2024-03-11 Issue: Volume:290 Page:233-237
ISSN:
Container-title:Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
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Author:

Baselizadeh Adel¹^ORCID,Uddin Md Zia²^ORCID,Khaksar Weria³^ORCID,Lindblom Diana Saplacan¹^ORCID,Torresen Jim⁴^ORCID

Affiliation:

1. Department of Informatics, University of Oslo, OSLO, Norway

2. Department of Sustainable Communication Technologies, SINTEF Digital, OSLO, Norway

3. Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway

4. Department of Informatics, University of Oslo & RITMO Centrer for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, OSLO, Norway

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610978.3640701

Reference27 articles.

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2. Human Activity Recognition through Recurrent Neural Networks for Human–Robot Interaction in Agriculture

3. Anindya Das Antar, Masud Ahmed, and Md Atiqur Rahman Ahad. 2019. Challenges in sensor-based human activity recognition and a comparative analysis of benchmark datasets: A review. In 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 134--139.

4. France Bélanger and Robert E Crossler. 2011. Privacy in the digital age: a review of information privacy research in information systems. MIS quarterly (2011), 1017--1041.

5. Protection of visual privacy in videos acquired with RGB cameras for active and assisted living applications