Detecting Negative Emotions to Counter Depression Using CNN-Reference-Cited by-同舟云学术

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Detecting Negative Emotions to Counter Depression Using CNN

Published:2021 Issue: Volume: Page:285-291
ISSN:2367-3370
Container-title:Proceedings of International Conference on Communication and Artificial Intelligence
language:
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Author:

Pathak Pooja,Gangwar Himanshu,Agarwal Aakash

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-6546-9_28

Reference16 articles.

1. Bitkina OV et al (2019) Identifying traffic context using driving stress: a longitudinal preliminary case study. Sensors 19(9):2152

2. Li M, Lun X, Wang Z (2019) A transductive model-based stress recognition method using peripheral physiological signals. Sensors 19(2):429

3. Liao S-C et al (2017) Major depression detection from EEG signals using kernel Eigen-filter-bank common spatial patterns. Sensors 17(6):1385

4. Ahn JW, Ku Y, Kim HC (2019) A novel wearable EEG and ECG recording system for stress assessment. Sensors 19(9):1991

5. Prasetio BH, Tamura H, Tanno K (2018) The facial stress recognition based on multi-histogram features and convolutional neural network. In: 2018 IEEE international conference on systems, man, and cybernetics (SMC). IEEE

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