Abstract
Natural user interfaces (NUIs) are commonly employed to allow multiple users to interact with each other in a defined space when implementing invoked reality. This has led to the investigation of user identification approaches as the basic technology enabling this interaction. However, the use of a single sensor complicates the accurate extraction of user-specific data because of the limited sensing scope and the occurrence of overlap among users. This paper proposes an approach based on the use of multiple sensors to re-identify users when multiple users repeatedly exit and re-enter the sensing scope.
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References
Han, J., et al.: Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment. IEEE Trans. Consum. Electron. 58(2), 255–263 (2012)
Hu, N., et al.: Multi-user identification and efficient user approaching by fusing robot and ambient sensors. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 5299–5306. IEEE (2014)
Yumak, Z., et al.: Tracking and fusion for multiparty interaction with a virtual character and a social robot. In: SIGGRAPH Asia 2014 Autonomous Virtual Humans and Social Robot for Telepresence, p. 3. ACM (2014)
Shimura, K., et al.: Research on person following system based on RGB-D features by autonomous robot with multi-kinect sensor. In: 2014 IEEE/SICE International Symposium on System Integration (SII), pp. 304–309. IEEE (2014)
Jo, H., et al.: Motion tracking system for multi-user with multiple kinects. Intl. J. u- e-Serv. Sci. Technol. 8(7), 99–108 (2015)
Satta, R., et al.: Real-time appearance-based person re-identification over multiple kinectTM cameras. In: VISAPP(2), pp. 407–410 (2013)
Acknowledgments
This research was supported by the MSIP (Ministry of Science, ICT, and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-H8501-16-1014) and the National Program for Excellence in SW (R7116-16-1014) supervised by the IITP(Institute for Information & Communications Technology Promotion).
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Jeong, Y., Xi, Y., Park, J., Um, K., Cho, K. (2017). A Method for Multi-user Re-identification in Invoked Reality Space. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_169
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DOI: https://doi.org/10.1007/978-981-10-3023-9_169
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