Using Unsupervised Anomaly Detection to Analyze Physiological Signals for Emotion Recognition

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) ◽

10.1109/isspit.2018.8642690 ◽

2018 ◽

Author(s):

Gabriel A Popoola ◽

Corey A Graves ◽

Phyllis Ford-Booker

Keyword(s):

Anomaly Detection ◽

Emotion Recognition ◽

Physiological Signals ◽

Unsupervised Anomaly Detection

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Using Unsupervised Anomaly Detection to Analyze Physiological Signals for Emotion Recognition

2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) ◽

10.1109/isspit.2018.8642763 ◽

2018 ◽

Author(s):

Gabriel A. Popoola ◽

Corey A. Graves ◽

Phyllis Ford-Booker

Keyword(s):

Anomaly Detection ◽

Emotion Recognition ◽

Physiological Signals ◽

Unsupervised Anomaly Detection

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Human Emotion Recognition using Physiological Signals: A Survey

SSRN Electronic Journal ◽

10.2139/ssrn.3645402 ◽

2020 ◽

Author(s):

Abhishek Chunawale ◽

Manngesh Bedekar

Keyword(s):

Emotion Recognition ◽

Physiological Signals ◽

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Fast Unsupervised Anomaly Detection in Traffic Videos

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ◽

10.1109/cvprw50498.2020.00320 ◽

2020 ◽

Author(s):

Keval Doshi ◽

Yasin Yilmaz

Keyword(s):

Anomaly Detection ◽

Unsupervised Anomaly Detection

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Evaluation of unsupervised anomaly detection approaches on photovoltaic monitoring data

2020 47th IEEE Photovoltaic Specialists Conference (PVSC) ◽

10.1109/pvsc45281.2020.9300481 ◽

2020 ◽

Author(s):

Sebastian Hempelmann ◽

Li Feng ◽

Cem Basoglu ◽

Grit Behrens ◽

Matthias Diehl ◽

...

Keyword(s):

Anomaly Detection ◽

Monitoring Data ◽

Unsupervised Anomaly Detection

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Automatic Object Classification with Active Sonar using Unsupervised Anomaly Detection

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287737 ◽

2021 ◽

Author(s):

Pietro Stinco ◽

Giovanni De Magistris ◽

Alessandra Tesei ◽

Kevin D. LePage

Keyword(s):

Anomaly Detection ◽

Object Classification ◽

Active Sonar ◽

Unsupervised Anomaly Detection

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Recent Survey on Emotion Recognition Using Physiological Signals

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) ◽

10.1109/icaccs51430.2021.9441999 ◽

2021 ◽

Author(s):

Emily Joy ◽

Rehna Baby Joseph ◽

M.B Lakshmi ◽

Willson Joseph ◽

M. Rajeswari

Keyword(s):

Emotion Recognition ◽

Recent Survey ◽

Physiological Signals

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Emotion Recognition using Deep Convolutional Neural Network on Temporal Representations of Physiological Signals

2020 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) ◽

10.1109/icmlant50963.2020.9355990 ◽

2020 ◽

Author(s):

Gurwinder Singh ◽

Kanupriya Verma ◽

Neha Sharma ◽

Ashok Kumar ◽

Archana Mantri

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Emotion Recognition ◽

Deep Convolutional Neural Network ◽

Physiological Signals ◽

Temporal Representations

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Hierarchical fusion of visual and physiological signals for emotion recognition

Multidimensional Systems and Signal Processing ◽

10.1007/s11045-021-00774-z ◽

2021 ◽

Author(s):

Yuchun Fang ◽

Ruru Rong ◽

Jun Huang

Keyword(s):

Emotion Recognition ◽

Physiological Signals

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WB-KNN for emotion recognition from physiological signals

Optoelectronics Letters ◽

10.1007/s11801-021-0118-2 ◽

2021 ◽

Vol 17 (7) ◽

pp. 444-448

Author(s):

Weilun Xie ◽

Wanli Xue

Keyword(s):

Emotion Recognition ◽

Physiological Signals

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Unsupervised Anomaly detection of LM Guide Using Variational Autoencoder

2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE) ◽

10.1109/atee.2019.8724998 ◽

2019 ◽

Author(s):

Min Su Kim ◽

Jong Pil Yun ◽

Suwoong Lee ◽

PooGyeon Park

Keyword(s):

Anomaly Detection ◽

Variational Autoencoder ◽

Unsupervised Anomaly Detection

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