Feature-Based Hand Gesture Recognition Using Two-Antenna Doppler Radar System
Author:
Affiliation:
1. Fudan University,State Key Laboratory of ASIC & System,Department of Microelectronics,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9977438/9977447/09977736.pdf?arnumber=9977736
Reference7 articles.
1. Hand-Gesture Recognition Using Two-Antenna Doppler Radar With Deep Convolutional Neural Networks
2. Dynamic hand gesture classification based on radar micro-Doppler signatures
3. A Gesture Air-Writing Tracking Method that Uses 24 GHz SIMO Radar SoC
4. Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine
5. OS-CFAR theory for multiple targets and nonuniform clutter
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1. Gesture Recognition to Control a Moving Robot With FMCW Radar;2024 IEEE Radio and Wireless Symposium (RWS);2024-01-21
2. Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results;Sensors;2023-08-28
3. Radar Based Gesture Recognition in Embedded Systems;2023 6th International Conference on Electronics Technology (ICET);2023-05-12
4. Object Recognition and Localization for Pick-and-Place Task using Difference-based Dynamic Movement Primitives;IFAC-PapersOnLine;2023
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