DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework-Reference-Cited by-同舟云学术

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DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework

Published:2020-11 Issue: Volume: Page:
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Container-title:2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
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Author:

Kopuklu Okan,Ledwon Thomas,Rong Yao,Kose Neslihan,Rigoll Gerhard

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9320148/9320149/09320259.pdf?arnumber=9320259

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Benchmarking Micro-Action Recognition: Dataset, Methods, and Applications;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

2. Safety Aspects of In-Vehicle Infotainment Systems: A Systematic Literature Review from 2012 to 2023;Electronics;2024-06-29

3. A mmWave MIMO Radar-Based Gesture Recognition Using Fusion of Range, Velocity, and Angular Information;IEEE Sensors Journal;2024-03-15

4. AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Hand Gesture Recognition based on Convolution Neural Network (CNN) and Support Vector Machine (SVM);2023 IEEE 14th Control and System Graduate Research Colloquium (ICSGRC);2023-08-05

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