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Human tracking and identification through a millimeter wave radar

  • Published:2021-05 Issue: Volume:116 Page:102475
  • ISSN:1570-8705
  • Container-title:Ad Hoc Networks
  • language:en
  • Short-container-title:Ad Hoc Networks

Author:

Zhao Peijun,Lu Chris Xiaoxuan,Wang Jianan,Chen Changhao,Wang Wei,Trigoni Niki,Markham Andrew

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference31 articles.

1. Mid: tracking and identifying people with millimeter wave radar;Zhao,2019

2. SCAN: learning speaker identity from noisy sensor data;Lu,2017

3. The “acceptance” of ambient assisted living: Developing an alternate methodology to this limited research lens;Beringer,2011

4. Gait recognition using wifi signals;Wang,2016

5. Wifi-based human identification via convex tensor shapelet learning.;Zou,2018

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1. RaDro: Indoor Drone Tracking Using Millimeter Wave Radar;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

2. Robust tracking for visual complex environments;International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024);2024-06-21

3. Improved deep learning image compression model: performance optimization based on convolutional modules and local attention mechanism;International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024);2024-06-21

4. MMIDNet: Secure Human Identification Using Millimeter-wave Radar and Deep Learning;2024 13th Mediterranean Conference on Embedded Computing (MECO);2024-06-11

5. Advanced Millimeter-Wave Radar System for Real-Time Multiple-Human Tracking and Fall Detection;Sensors;2024-06-05
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