FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition

FLGR: Fixed Length Gists Representation Learning for RNN-HMM Hybrid-Based Neuromorphic Continuous Gesture Recognition

A neuromorphic vision sensors is a novel passive sensing modality and frameless sensors with several advantages over conventional cameras. Frame-based cameras have an average frame-rate of 30 fps, causing motion blur when capturing fast motion, e.g., hand gesture. Rather than wastefully sending enti...

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Bibliographic Details
Main Authors: Guang Chen, Jieneng Chen, Marten Lienen, Jörg Conradt, Florian Röhrbein, Alois C. Knoll
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Neuroscience
Subjects:
representation learning
neuromorphic vision
continuous gesture recognition
mixture density autoencoder
recurrent neural network
hidden markov model
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00073/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.00073/full

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