Gait based biometric personal authentication by using MEMS inertial sensors-Reference-Cited by-同舟云学术

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Gait based biometric personal authentication by using MEMS inertial sensors

Published:2018-05-29 Issue:5 Volume:9 Page:1705-1712
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Tao Shuai,Zhang Xiaowei,Cai Huaying,Lv Zeping,Hu Caiyou,Xie Haiqun

Funder

National Natural Science Foundation of China

National Key Technology Research and Development Program of the Ministry of Science and Technology of China

Project of Dalian high-level talents innovation support

Health General Research Project of Zhejiang Province, China

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/article/10.1007/s12652-018-0880-6/fulltext.html

Reference27 articles.

1. Alvarez JC, Alvarez D, Lopez A, Gonzalez RC (2012) Pedestrian navigation based on a waist-worn inertial sensor. Sensors 12(8):10536–10549. https://doi.org/10.3390/s120810536

2. Chen L, Nugent CD, Wang H (2012) A knowledge-driven approach to activity recognition in smart homes. IEEE Trans Knowl Data Eng 24(6):961–974. https://doi.org/10.1109/TKDE.2011.51

3. Chen L, Nugent CD, Okeyo G (2014) An ontology-based hybrid approach to activity modeling for smart homes. IEEE Trans Hum Machine Syst 44(1):92–105. https://doi.org/10.1109/THMS.2013.2293714

4. Derawi MO, Nickel C, Bours P, Busch C (2010) Unobtrusive user-authentication on mobile phones using biometric gait recognition. In: Intelligent information hiding and multimedia signal processing (IIH-MSP), sixth international conference, pp 306–311. https://doi.org/10.1109/IIHMSP.2010.83

5. Frank J, Mannor S, Pineau J, Precup D (2013) Time series analysis using geometric template matching. IEEE Trans Pattern Anal Mach Intell 35:740–754. https://doi.org/10.1109/TPAMI.2012.121

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