Wearable Physiological IoT System with Neural Network to Detect an Individual IT Professional’s Stress / Emotion in Working Environments-Reference-Cited by-同舟云学术

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Wearable Physiological IoT System with Neural Network to Detect an Individual IT Professional’s Stress / Emotion in Working Environments

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
language:
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Author:

Devi V.Anusuya¹,Pradeepaj T.Sam¹,Achyuth N.Sai¹,Nagarajan R.¹,Raj R.Rahul¹,Krishna B.Navneetha¹

Affiliation:

1. School of Computing Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Krishnankovil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10142228/10142218/10142219.pdf?arnumber=10142219

Reference18 articles.

1. Prediction of clinical depression in adolescents using facial image analysis;brianooi;International Workshop on Image Analysis for Multimedia Interactive Services,2019

2. Stress Detector System Using IoT and Artificial Intelligence;areejmustafa;Advances inScienceandEngineeringTechnologyInternationalConferences(ASET),2020

3. Stress Detection using Deep Learning andIoT;yashaswini;InternationalJournalofResearchinEngineering ScienceandManagement,2019

4. Facial Expression Recognition of Industrial Internet of Things by Parallel Neural Networks Combining Texture Features

5. Eyemovement analysis for depression detection;ghanim;IEEEInternationalConferenceonImageProcessing,2020

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