A Deep Residual-based Model on Multi-Branch Aggregation for Stress and Emotion Recognition through Biosignals-Reference-Cited by-同舟云学术

A Deep Residual-based Model on Multi-Branch Aggregation for Stress and Emotion Recognition through Biosignals

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
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Author:

Mekruksavanich Sakorn¹,Hnoohom Narit²,Jitpattanakul Anuchit³

Affiliation:

1. University of Phayao,School of Information and Communication Technology,Department of Computer Engineering,Phayao,Thailand

2. Mahidol University,Image, Information and Intelligence Laboratory,Department of Computer Engineering Faculty of Engineering,Nakhon Pathom,Thailand

3. King Mongkut’s University of Technology North Bangkok,Intelligent and Nonlinear Dynamic Innovations Research Center,Department of Mathematics Faculty of Applied Science,Bangkok,Thailand

Funder

Thailand Science Research and Innovation

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9795349/9795357/09795449.pdf?arnumber=9795449

Reference21 articles.

1. Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals

2. Development of a Stress Classification Model Using Deep Belief Networks for Stress Monitoring

3. Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing

4. Stress Detection Using Physiological Sensors

5. Deep Residual Network for Smartwatch-Based User Identification through Complex Hand Movements

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