PURE: Passive Multi-Person Identification via Footstep for Mobile Service Networks

Author:

Cai Chao1ORCID,Jin Ruinan2ORCID,Nie Jiangtian3ORCID,Kang Jiawen4ORCID,Zhang Yang5ORCID,Luo Jun3ORCID

Affiliation:

1. College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China

3. School of Computer Engineering, Nanyang Technological University, Singapore

4. Guangdong University of Technology, Guangzhou, China

5. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Reference50 articles.

1. Multi-Task GANs for View-Specific Feature Learning in Gait Recognition

2. Biometric recognition by gait: A survey of modalities and features

3. Person identification from walking sound on wooden floor;diapoulis;Proc EAA Euronoise,0

4. Acoustic Gait-based Person Identification using Hidden Markov Models

5. WiWho: WiFi-ID: Human identification using WiFi signal;zhang;Proc IEEE Int Conf Distrib Comput Sensor Syst,0

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