HandGCNN model for gesture recognition based voice assistance

Article Computer Science, Software Engineering

Compact joints encoding for skeleton-based dynamic hand gesture recognition

Yangke Li et al.

Summary: This paper proposes a novel framework for skeleton-based dynamic hand gesture recognition, which extracts spatial and temporal features of gestures through spatial perception stream and temporal perception stream. Experimental results show that the framework outperforms the state-of-the-art methods.

COMPUTERS & GRAPHICS-UK (2021)

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Article Engineering, Electrical & Electronic

Dynamic Hand Gesture Recognition Based on Signals From Specialized Data Glove and Deep Learning Algorithms

Yongfeng Dong et al.

Summary: A low-cost and efficient data glove and a novel dynamic hand gesture recognition algorithm were proposed in this study, utilizing a fusion model of convolutional neural network and generic temporal convolutional network. Extensive experiments demonstrated that the proposed algorithm outperforms many state-of-the-art algorithms on various measures.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

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Article Automation & Control Systems

Dynamic hand gesture recognition based on short-term sampling neural networks

Wenjin Zhang et al.

Summary: This research introduces a novel deep learning network for hand gesture recognition, which integrates short-term and long-term feature learning while avoiding intensive computation. The results are competitive and the model's robustness has been proven with enhanced diversity of hand gestures in augmented datasets.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2021)

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Review Imaging Science & Photographic Technology