PURE: passive multi-person identification via footstep for mobile service networks
Recently, passive behavioral biometric (e.g., gesture or footstep) acquired from wireless networks or mobile services have become promising complements to conventional user identification methods (e.g., face or fingerprint) under special situations, yet existing sensing technologies require lengthy...
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Main Authors: | Cai, Chao, Jin, Ruinan, Nie, Jiangtian, Kang, Jiawen, Zhang, Yang, Luo, Jun |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/170812 |
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Institution: | Nanyang Technological University |
Language: | English |
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