Orientation-Compensative Signal Registration for Owner Authentication Using an Accelerometer

Author:

NGO Trung Thanh1,MAKIHARA Yasushi1,NAGAHARA Hajime2,MUKAIGAWA Yasuhiro1,YAGI Yasushi1

Affiliation:

1. Institute of Scientific and Industrial Research, Osaka University

2. Graduate School of Information Science and Electrical Engineering, Kyushu University

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

Reference48 articles.

1. [1] N.T. Trung, Y. Makihara, H. Nagahara, Y. Mukaigawa, and Y. Yagi, “Inertial-sensor-based walking action recognition using robust step detection and inter-class relationships,” 21st International Conference on Pattern Recognition, pp.3811-3814, 2012.

2. [2] Y. Xiao, D. Low, T. Bandara, P. Pathak, H.B. Lim, D. Goyal, J. Santos, C. Cottrill, F. Pereira, C. Zegras, and M. Ben-Akiva, “Transportation activity analysis using smartphones,” Consumer Communications and Networking Conference (CCNC), 2012 IEEE, pp.60-61, Jan. 2012.

3. [3] Pebble Technology, “Pebble e-paper watch,” 2013. [Online]. Available: http://getpebble.com/

4. [4] A. Avci, S. Bosch, M. Marin-Perianu, R. Marin-Perianu, and P.J.M. Havinga, “Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey,” Intl. Conf. on Architecture of Computing Systems, Workshop Proc., pp.1-10, 2010.

5. [5] J.C. Augusto and C.D. Nugent, eds., Smart homes can be smarter, Springer-Verlag, Berlin, Heidelberg, 2006.

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