Multiscale Feature Fusion for Gesture Recognition Using Commodity Millimeter-Wave Radar
Source abstract
Abstract
Gestures are one of the most natural and intuitive approach for human-computer interaction. Compared with traditional camera-based or wearable sensors-based solutions, gesture recognition using the millimeter wave radar has a... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced SAR Imaging Techniques · Biometric Identification and Security · Hand Gesture Recognition Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (34)
Show source-provided references
1. Toward human-centered AI: A perspective from human-computer interaction10.1145/3328485 ↗
2. Human-machine interaction sensing technology based on hand gesture recognition: A review10.1109/THMS.2021.3086003 ↗
3. Point cloud deep learning solution for hand gesture recognition
4. A review of hand gesture recognition systems based on noninvasive wearable sensors10.1002/aisy.202300207 ↗
5. A novel SE-CNN attention architecture for sEMG-based hand gesture recognition
6. Overview of 3D human pose estimation
7. Supporting mixed-presence awareness across wall-sized displays using a tracking pipeline based on depth cameras10.1145/3664634 ↗
8. Dynamic hand gesture-based person identification using leap motion and machine learning approaches
9. HuPR: A benchmark for human pose estimation using millimeter wave radar
10. Gesture recognition method with acceleration data weighted by sEMG
11. Intelligent human-computer interaction based on surface EMG gesture recognition10.1109/ACCESS.2019.2914728 ↗
12. Spectral image-based multiday surface electromyography classification of hand motions using CNN for human-computer interaction10.1109/JSEN.2022.3204121 ↗
13. A survey on wireless device-free human sensing: Application scenarios, current solutions, and open issues10.1145/3530682 ↗
14. Embracing consumer-level UWB-equipped devices for fine-grained wireless sensing
15. Tesla-Rapture: A lightweight gesture recognition system from mmWave radar sparse point clouds10.1109/TMC.2022.3153717 ↗
16. Gesture-mmWAVE: Compact and accurate millimeter-wave radar-based dynamic gesture recognition for embedded devices10.1109/THMS.2024.3385124 ↗
17. Hand gestures recognition using radar sensors for human-computer-interaction: A review10.3390/rs13030527 ↗
18. Robust interactive method for hand gestures recognition using 639 machine learning
19. XGest: Enabling cross-label gesture recognition with RF signals10.1145/3458750 ↗
20. “mTransSee: Enabling environment-independent mmWave sensing based gesture recognition via transfer learning10.1145/3571588 ↗
21. Multi-sensor system for driver’s hand-gesture recognition
22. Multifeature fusion-based hand gesture sensing and recognition system
23. mmWave radar-based hand gesture recognition using range-angle image
24. Doppler-radar based hand gesture recognition system using convolutional neural networks
25. Interacting with soli: Exploring fine-grained dynamic gesture recognition in the radio-frequency spectrum
26. Multidimensional feature representation and learning for robust hand-gesture recognition on commercial millimeter-wave radar10.1109/TGRS.2020.3010880 ↗
27. Hand gesture recognition for smart devices by classifying deterministic doppler signals10.1109/TMTT.2020.3031619 ↗
28. Liu · IEEE Internet Things J. · 2021 · 9 · 339710.1109/JIOT.2021.3098338 ↗
29. Real-time radar-based gesture detection and recognition built in an edge-computing platform10.1109/JSEN.2020.2994292 ↗
30. Multi-feature encoder for radar-based gesture recognition
31. Gesture recognition system using 24 GHz FMCW radar sensor realized on real-time edge computing platform10.1109/JSEN.2022.3163449 ↗
32. TI, “IWR6443 Single-Chip 60- to 64-GHz mmWave Sensor,” 2021. Accessed: Jul. 1, 2024. [Online]. Available: https://www.ti.com/product/IWR6843
33. Early gesture recognition with reliable accuracy based on high-resolution IoT radar sensors10.1109/JIOT.2021.3072169 ↗
34. Spiking-timing-dependent plasticity convolutional spiking neural network for efficient radar-based gesture recognition