Prediction of Mental Stress Level Based on Machine Learning

Author:

Kene Akshada,Thakare Shubhada

Publisher

Springer Nature Singapore

Reference23 articles.

1. Farhad R, Rizwan MF et al (2019) Design of a bio signal based stress detection system using machine learning techniques. In: International conference on robotics, electrical and signal processing techniques (ICREST), p 364

2. Pan-ngum S, Israsena P, Jatupaiboon N (2013) Real-time EEG-based happiness detection. The Sci World J:12

3. Khalil M, Shahin A, Mourad A, Munla N (2015) Driver stress level detection using HRV analysis. In: International conference on advances in biomedical engineering (ICABME)

4. Frounchi J, Farnam A, Ghaderi A (2015) Machine learning-based signal processing using physiological signals for stress detection. In: 22nd Iranian conference on biomedical engineering (ICBME 2015), Iranian research organization for science and technology, Tehran, Iran, 25–27 Nov 2015

5. Jung Y, Yoon YI (2016) Multi-level assessment model for wellness service based on human mental stress level

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1. Comparative Analysis for Prediction and Classification of Mental Health Issues and Challenges Using Hybrid Learning Techniques;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

2. Prediction of Stress using Machine Learning and IoT;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16

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