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IoT Enabled Wearable Camera for Emerging Application World
IoT Enabled Wearable Camera is used to make world’s smallest wearable camera that can capture video clips. This hardware is a wearable camera device, which users can mount on their sunglasses, goggles and helmets using magnets already available in the camera. This Camera gives better resolution of video. And to store these videos and to charge cameras we have one docking station. The docking station that can charge camera and also transferred video wirelessly. With the help of wifi , stored video can be directed uploaded On cloud. With the use of mobile application we can directly take audio and video from cloud. The main aim is to develop smallest wearable camera that have most capabilities that can fulfill our daily basis need.
Keywords
Wearable Camera , IoT , Cloud , Docking Station.
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- Han, L., Li, Z., Zhang, H., & Chen, D. (2010, July). Wearable observation supporting system for face identification based on wearable camera. In Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on (Vol. 7, pp. 91-95).
- Healey, J., & Picard, R. W. (1998, October). Startlecam: A cybernetic wearable camera. In Wearable Computers, 1998. Digest of Papers. Second International Symposium on (pp. 42-49). IEEE.
- Shipp, V., Skatova, A., Blum, J., & Brown, M. (2014, May). The ethics of wearable cameras in the wild. In Proceedings of the IEEE 2014 International Symposium on Ethics in Engineering, Science, and Technology (p. 18). IEEE Press
- Plotz, T., Chen, C., Hammerla, N. Y., & Abowd, G. D. (2012, June). Automatic Synchronization of Wearable Sensors and Video-Cameras for Ground Truth Annotation-A Practical Approach. In Wearable Computers (ISWC), 2012 16th International Symposium on (pp. 100-103). IEEE.
- Mann, S. (1997). Smart clothing: The wearable computer and wearcam. Personal Technologies, 1(1), 21-27.
- Younis, O., Al-Nuaimy, W., Rowe, F., & Alomari, M. H. (2018, July). Real-time Detection of Wearable Camera Motion Using Optical Flow. In 2018 IEEE Congress on Evolutionary Computation (CEC) (pp. 1-6).
- S. Mann. Shootingback. the winners of the prix ars electronica1997, Sep 8-13 1997. http://www.rito.com/prix/winners.htm See also,http://wearcomp.org/shootingback.html.
- S.Mann. Eyeglass mounted wireless video: Computer– supported collaboration for photojournalism and everyday use. IEEE ComSoc,pages 144–151, June 1998. Special Issue on Wireless Video.
- LuHan, Zushu Li, Dongyi Chen "iWearSA: an intelligent Wearable Assistant System for perception of moving object", ICMIT 2007,Proc. SPIE Vol. 6794, pp. 67945M-67945M-5
- G. O'Loughlin, S.J. Cullen, A. McGoldrick, S. O'Connor, R. Blain, S.O'Malley, and G.D. Warrington. “ Using a wearable camera to increase the accuracy of dietary analysis”, in American Journal of Preventive Medicine, 2013, 44(3):297—301.
- L.Miller and J.Toliver , “Implementing a body worn camera”,Police executive research forum and United States of America, 2014.
- Juang C F, Wu J R, Chang C M, et al. “Computer vision-based human body segmentation and posture estimation. Systems,Man and Cybernetics, Part A: Systems and Humans”, IEEE Transactions on, 2009,39(1:119-133).
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