Acknowledgement
Supported by : 한국콘텐츠진흥원
References
- G. Nimrod and H. Adoni, "Conceptualizing e-leisure", Loisir et Societe/Society and Leisure, vol. 35, no. 1, pp. 31-56, 2012. https://doi.org/10.1080/07053436.2012.10707834
- M. E. Son, N. H. Kim and I. D. Kong, "Positive correlation between cyber leisure time and sympathetic activity in high school students", The FASEB Journal, vol. 26, no. 1, pp. 705-707, 2012.
- S. O. Lee, S. C. Ahn, J. I. Hwang and H. G. Kim, "A vision-based mobile augmented reality system for baseball games", International Conference on Virtual and Mixed Reality, pp. 61-68, 2011.
- S. Bielli and C. G. Harris, "A mobile augmented reality system to enhance live sporting events", Proceedings of the 6th Augmented Human International Conference, pp. 141-144, 2015.
- SNOW Corp. Snow [Internet]. Available : https://snow.me/
- Snap Inc. Snapchat [Internet]. Avilable : https://www.snapchat.com/
- Masquerade Technologies, Inc. MSQRD [Internet]. Available : http://msqrd.me/
- Face swap [Internet]. Available : https://play.google.com/store/apps/details?id=com.fotoable.faceswap.c403
- F. Zhou, H. B. Duh, and M. Billinghurst, "Trends in Augmented Reality Tracking, Interaction and Display: A Review of Ten Years of ISMAR," IEEE International Symposium on Mixed and Augmented Reality, pp. 193-202, 2008.
- S. P. Jeon, Y. S. Lee and K. N. Choi, "Movement direction-based approaches for pedestrian detection in road scenes", IEEE 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, pp. 1-4, 2015.
- F. Flohr, M. Dumitru-Guzu, J. F. Kooij and D. M. Gavrila, "A probabilistic framework for joint pedestrian head and body orientation estimation", IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 4, pp. 1872-1882, 2015. https://doi.org/10.1109/TITS.2014.2379441
- A. Rangesh, E. Ohn-Bar, K. Yuen and M. M. Trivedi, "Pedestrians and their phones-detecting phone-based activities of pedestrians for autonomous vehicles", IEEE 19th International Conference on Intelligent Transportation Systems, pp. 1882-1887, 2016.
- E. J. Song, "A Case of the Mobile Application System Development using Location Based Service", Journal of Digital Contents Society, vol. 13, no. 1, pp. 53-60., 2012. https://doi.org/10.9728/dcs.2012.13.1.053
- R. Pryss, P. Geiger, M. Schickler, J. Schobel, and M. Reichert, "Advanced Algorithms for Location-Based Smart Mobile Augmented Reality Applications" Procedia Computer Science, vol. 94, pp. 97-104, 2016. https://doi.org/10.1016/j.procs.2016.08.017
- R. Tapu, B. Mocanu, A. Bursuc and T. Zaharia, "A smartphone-based obstacle detection and classification system for assisting visually impaired people", IEEE International Conference on Computer Vision Workshops, pp. 444-451, 2013.
- A. D. Costea, A. V. Vesa and S. Nedevschi, "Fast pedestrian detection for mobile devices", IEEE International Conference on Intelligent Transportation Systems, pp. 2364-2369, 2015.
- B. S. Lin, C. C. Lee and P. Y. Chiang, "Simple Smartphone-Based Guiding System for Visually Impaired People", Sensors, vol. 17, no. 6, pp. 1371, 2017. https://doi.org/10.3390/s17061371
- A. Bellarbi, S. Benbelkacem, N. Zenati-Henda and M. Belhocine, "Hand gesture interaction using color-based method for tabletop interfaces", IEEE 7th International Symposium on Intelligent Signal Processing, pp. 1-6, 2011.
- H. Belghit, N. Zenati-Henda, A. Bellabi, S. Benbelkacem and M. Belhocine, "Tracking Color marker using projective transformation for augmented reality application", IEEE International Conference on Multimedia Computing and Systems, pp. 372-377, 2012.
- G. Bradski. "Computer vision face tracking for use in a perceptual user interface", Intel Technology Journal, 1998.
- H. Dreyfuss, The Measure of Man: Human Factors in Design, New York: Whitney Library of Design, 1967.
- C. J. Seo and H. I. Ji, "Pedestrian Detection using HOG Feature and Multi-Frame Operation", The Transactions of the Korean Institute of Electrical Engineers P, vol. 64, no. 3, pp. 193-198, 2015. https://doi.org/10.5370/KIEEP.2015.64.3.193
- B. Tekin, I. Katircioglu, M. Salzmann, V. Lepetit and P. Fua, "Structured prediction of 3d human pose with deep neural networks", British Machine Vision Conference (BMVC), 2016.