CLGNet: A New Network for Human Pose Estimation using Commodity Millimeter Wave Radar
Author:
Affiliation:
1. China Mobile Research Institute, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3446132.3446421
Reference10 articles.
1. Mask R-CNN
2. A Survey of Deep Learning and Its Application in Distribution Network
3. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
4. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
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1. Realizing Human Pose Estimation Based on Deep Kalman Filtering;Communications in Computer and Information Science;2024
2. SST-HAR: Simultaneous Spatial-temporal Information Encoding Network for Radar-based Human Activity Recognition;2023 IEEE Smart World Congress (SWC);2023-08-28
3. Driver’s Chest Position Detection using FMCW Radar Data Collected in a Vehicle Mock-up and CNN;2023 24th International Radar Symposium (IRS);2023-05-24
4. Argosleep: Monitoring Sleep Posture from Commodity Millimeter-Wave Devices;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17
5. Real-Time Short-Range Human Posture Estimation Using mmWave Radars and Neural Networks;IEEE Sensors Journal;2022-01-01
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