Deep Convolutional and LSTM Neural Network Architectures on Leap Motion Hand Tracking Data Sequences

Research article (2019 27th European Signal Processing Conference (EUSIPCO), 2019) · cited 11× · AI/ML
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Deep Convolutional and LSTM Neural Network Architectures on Leap Motion Hand Tracking Data Sequences

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Deep Convolutional and LSTM Neural Network Architectures on Leap Motion Hand Tracking Data Sequences is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Convolutional and LSTM Neural Network Architectures on Leap Motion Hand Tracking Data Sequences. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-convolutional-and-lstm-neural-network-architectures-on-leap-motion-hand-tracking-data-sequences
MLA “Deep Convolutional and LSTM Neural Network Architectures on Leap Motion Hand Tracking Data Sequences.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-convolutional-and-lstm-neural-network-architectures-on-leap-motion-hand-tracking-data-sequences.
BibTeX @misc{4ortxyz_deep-convolutional-and-lstm-neural-network-architectures-on-leap-motion-hand-tracking-data-sequences_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Convolutional and LSTM Neural Network Architectures on Leap Motion Hand Tracking Data Sequences}}, year = {2026}, url = {https://4ort.xyz/entity/deep-convolutional-and-lstm-neural-network-architectures-on-leap-motion-hand-tracking-data-sequences}, note = {Accessed: 2026-05-24}}
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