Healthcare IoT-Based Affective State Mining Using a Deep Convolutional Neural Network

Healthcare IoT-Based Affective State Mining Using a Deep Convolutional Neural Network

Human effects are complex phenomena, which are studied for pervasive healthcare and well-being. The legacy pen and paper-based affective state determination methods are limited in their scientific explanation of causes and effects. Therefore, due to advances in intelligence technology, researchers a...

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Bibliographic Details
Main Authors: Md. Golam Rabiul Alam, Sarder Fakhrul Abedin, Seung Il Moon, Ashis Talukder, Choong Seon Hong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Affective computing
convolutional neural network
emotion recognition
healthcare IoT
Internet of Medical Things
Online Access:https://ieeexplore.ieee.org/document/8726298/

Internet

https://ieeexplore.ieee.org/document/8726298/

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