Authentication of Smartphone Users Based on the Way They Walk Using k-NN Algorithm-Reference-Cited by-同舟云学术

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Authentication of Smartphone Users Based on the Way They Walk Using k-NN Algorithm

Published:2012-07 Issue: Volume: Page:
ISSN:
Container-title:2012 Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
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Author:

Nickel Claudia,Wirtl Tobias,Busch Christoph

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6273237/6274114/06274118.pdf?arnumber=6274118

Cited by 90 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. User gait biometrics in smart ambient applications through wearable accelerometer signals: an analysis of the influence of training setup on recognition accuracy;Journal of Ambient Intelligence and Humanized Computing;2024-04-15

2. SMARTCOPE: Smartphone Change Of Possession Evaluation for continuous authentication;Pervasive and Mobile Computing;2024-01

3. Elevating Wearable Sensor Authentication with Hybrid Deep Learning and Squeeze-and-Excitation;Lecture Notes in Computer Science;2024

4. Sensor-based implicit authentication through learning user physiological and behavioral characteristics;Computer Communications;2023-08

5. Pistis: Replay Attack and Liveness Detection for Gait-Based User Authentication System on Wearable Devices Using Vibration;IEEE Internet of Things Journal;2023-05-01

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