Long Short Term Memory Hyperparameter Optimization for a Neural Network Based Emotion Recognition Framework

Long Short Term Memory Hyperparameter Optimization for a Neural Network Based Emotion Recognition Framework

Recently, emotion recognition using low-cost wearable sensors based on electroencephalogram and blood volume pulse has received much attention. Long short-term memory (LSTM) networks, a special type of recurrent neural networks, have been applied successfully to emotion classification. However, the...

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Bibliographic Details
Main Authors: Bahareh Nakisa, Mohammad Naim Rastgoo, Andry Rakotonirainy, Frederic Maire, Vinod Chandran
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Differential evolution
emotion recognition
hyperparameter optimization
long short term memory
wearable physiological sensors
Online Access:https://ieeexplore.ieee.org/document/8453798/

Internet

https://ieeexplore.ieee.org/document/8453798/

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