Human Interaction Recognition Based on Deep Learning and HMM

Human Interaction Recognition Based on Deep Learning and HMM

This paper proposes a recognition method that combines deep learning with traditional hidden Markov model (HMM) with the aim of improving the recognition accuracy of interaction. First, to construct the classification model, the optimized ALexNet convolutional neural network is used to extract the b...

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Bibliographic Details
Main Authors: An Gong, Chen Chen, Mengtang Peng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Interaction recognition
convolutional neural networks (CNNs)
long short-term memory (LSTM)
hidden Markov model (HMM)
Online Access:https://ieeexplore.ieee.org/document/8892463/

Internet

https://ieeexplore.ieee.org/document/8892463/

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