Hotspot Modeling of Hand-Machine Interaction Experiences from a Head-Mounted RGB-D Camera
Author:
Affiliation:
1. Graduate School of Engineering, Kyoto University
2. Academic Center for Computing and Media Studies, Kyoto University
3. Department of Computer Science, University of Bristol
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E102.D/2/E102.D_2018EDP7146/_pdf
Reference32 articles.
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3. [3] A. Fathi, A. Farhadi, and J.M. Rehg, “Understanding egocentric activities,” 2011 International Conference on Computer Vision, pp.407-414, 2011. 10.1109/iccv.2011.6126269
4. [4] H. Pirsiavash and D. Ramanan, “Detecting activities of daily living in first-person camera views,” 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.2847-2854, 2012. 10.1109/cvpr.2012.6248010
5. [5] K. Matsuo, K. Yamada, S. Ueno, and S. Naito, “An attention-based activity recognition for egocentric video,” 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.565-570, 2014. 10.1109/cvprw.2014.87
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