Abstract
In this paper, we have analyzed requirements and pain points of legacy wearable-based IoT and smart home services. In conventional system, we are required to wear additional accessory devices, and to move to specific areas to control and manage the home devices. In order to solve these restrictions, we have implemented WACA framework by using well-known general wearable devices. We also present the gesture-interaction based device control architecture using the wearable devices to provide more efficient and valuable smart home services. Based on the experiment results, we show that the proposed system has the potential as wearable device-based universal control assistance architecture.
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References
Hwan, H., et al.: Object recognition and selection method by gaze tracking and SURF algorithm. In: Proceedings of International Conference on Multimedia and Signal Processing (CMSP), pp. 261–265 (2011)
Dan, I., et al.: An intelligent gesture interface for controlling TV sets and set-top boxes. In: Proceedings of IEEE International Symposium on Applied Computational Intelligence and Informatics, pp. 159–164 (2011)
Lei, J., et al.: A Brand-independent low memory footprint universal remote control method for resource constrained wearable remote controller. In: Proceedings of IEEE 2nd Global Conference on Consumer Electronics, pp. 367–368 (2013)
Shohei, M., et al.: Remote control with switches on fingertips. In: Proceedings IEEE International Conference on Consumer Electronics, pp. 688–689 (2012)
Lei, J., et al.: A unified method for multiple home appliances control through static finger gestures. In: Proceedings of IEEE/IPSJ International Symposium on Applications and the Internet, pp. 82–90 (2011)
Shaowei, C., et al.: Interacting with a self-portrait camera using motion-based hand gestures. In: Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction, pp. 93–101 (2013)
Friedman, N., et al.: Efficient Bayesian parameter estimation in large discrete domains. In: Advances in neural information processing systems 11. MIT Press, Cambridge (1999)
Sanhyung, C., et al.: SAD: web session anomaly detection based on parameter estimation. Comput. Secur. 23, 312–319 (2004)
ZigBee Home Automation Standard. http://www.zigbee.org/Standards/ZigBeeHomeAutomation/Overview.aspx
Louis-Philippe, M., et al.: Head gesture recognition in intelligent interfaces: the role of context in improving recognition. In: Proceedings of International Conference on Intelligent User Interfaces, pp. 32–38 (2006)
Daniel, K., et al.: MAGIC summoning: towards automatic suggesting and testing of gestures with low probability of false positives during use. J. Mach. Learn. Res. 14, 209–242 (2013)
Koo, B.H., et al.: R-URC: RF4CE-based universal remote control framework using smartphone. In: Proceedings of International Conference on Computa-tional Science and its Applications (ICCSA 2010), pp. 311–314 (2010)
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Koo, B., Kong, S., Cho, H., Choi, L. (2016). WACA: WearAble Device Based Home Control Assistant Framework. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9787. Springer, Cham. https://doi.org/10.1007/978-3-319-42108-7_13
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DOI: https://doi.org/10.1007/978-3-319-42108-7_13
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