3D Point Cloud from Millimeter-wave Radar for Human Action Recognition: Dataset and Method
Millimeter-wave radar is increasingly being adopted for smart home systems, elder care, and surveillance monitoring, owing to its adaptability to environmental conditions, high resolution, and privacy-preserving capabilities. A key factor in effectively utilizing millimeter-wave radar is the analysi...
Saved in:
Main Authors: | Biao JIN, Kangsheng SUN, Hao WU, Zixuan LI, Zhenkai ZHANG, Yan CAI, Rongmin LI, Xiangqun ZHANG, Genyuan DU |
---|---|
Format: | Article |
Language: | English |
Published: |
China Science Publishing & Media Ltd. (CSPM)
2025-02-01
|
Series: | Leida xuebao |
Subjects: | |
Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR24195 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gesture Recognition with Residual LSTM Attention Using Millimeter-Wave Radar
by: Weiqing Bai, et al.
Published: (2025-01-01) -
Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method
by: Fu Tao, et al.
Published: (2025-01-01) -
Spatial and Temporal Variations in 94-GHz Radar Backscatter From a Springtime Snowpack
by: William D. Harcourt, et al.
Published: (2025-01-01) -
Detection and Classification of Teacher-Rated Children’s Activity Levels Using Millimeter-Wave Radar and Machine Learning: A Pilot Study in a Real Primary School Environment
by: Tianyi Wang, et al.
Published: (2025-01-01) -
Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS)
by: Pi-Yun Chen, et al.
Published: (2024-01-01)