Speech Based Emotion Detection Using R

Advances in Speech and Music Technology - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-33-6881-1_8 ◽

2021 ◽

pp. 85-97

Author(s):

Nida Farheen ◽

Subarna Chatterjee

Keyword(s):

Emotion Detection

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What to detect? Analyzing Factor Structures of Affect in Driving Contexts for an Emotion Detection and Regulation System

PsycEXTRA Dataset ◽

10.1037/e578902012-403 ◽

2011 ◽

Cited By ~ 5

Author(s):

Myounghoon Jeon ◽

Bruce N. Walker

Keyword(s):

Regulation System ◽

Emotion Detection

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Emotion Detection Device and Method For Use in Distributed Systems

PsycEXTRA Dataset ◽

10.1037/e623582012-001 ◽

2012 ◽

Cited By ~ 1

Author(s):

Ian M. Bennett

Keyword(s):

Distributed Systems ◽

Emotion Detection

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Emotion Detection and Recognition from Text using Machine Learning

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i6.341345 ◽

2018 ◽

Vol 6 (6) ◽

pp. 341-345

Author(s):

Shaikh Abdul Salam ◽

Rajkumar Gupta

Keyword(s):

Machine Learning ◽

Emotion Detection ◽

Detection And Recognition

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EMOCOV: Machine learning for emotion detection, analysis and visualization using COVID-19 tweets

Online Social Networks and Media ◽

10.1016/j.osnem.2021.100135 ◽

2021 ◽

Vol 23 ◽

pp. 100135

Author(s):

Md. Yasin Kabir ◽

Sanjay Madria

Keyword(s):

Machine Learning ◽

Emotion Detection ◽

Detection Analysis

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Recurrence Quantification Analysis based Emotion Detection in Parkinson’s disease using EEG Signals

2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP) ◽

10.1109/icccsp49186.2020.9315244 ◽

2020 ◽

Author(s):

M Murugappan ◽

Waleed B Alshuaib ◽

Ali Bourisly ◽

Sai Sruthi ◽

Ranjana R

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Recurrence Quantification Analysis ◽

Emotion Detection ◽

Eeg Signals ◽

Recurrence Quantification ◽

Quantification Analysis

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Multi-Classes Emotion Detection for Unbalanced Indonesian Tweets

2020 International Conference on Electrical Engineering and Informatics (ICELTICs) ◽

10.1109/iceltics50595.2020.9315403 ◽

2020 ◽

Author(s):

Laina Farsiah ◽

Yi-Shin Chen ◽

Alim Misbullah

Keyword(s):

Emotion Detection

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Age Bias in Emotion Detection: An Analysis of Facial Emotion Recognition Performance on Young, Middle-Aged, and Older Adults

Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society ◽

10.1145/3461702.3462609 ◽

2021 ◽

Author(s):

Eugenia Kim ◽

De'Aira Bryant ◽

Deepak Srikanth ◽

Ayanna Howard

Keyword(s):

Older Adults ◽

Emotion Recognition ◽

Recognition Performance ◽

Facial Emotion Recognition ◽

Facial Emotion ◽

Emotion Detection ◽

Middle Aged ◽

Age Bias

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A Concept for Context Awareness in Smart Environments

Current Directions in Biomedical Engineering ◽

10.1515/cdbme-2020-3098 ◽

2020 ◽

Vol 6 (3) ◽

pp. 380-383

Author(s):

Jochen Bauer ◽

Michael Hechtel ◽

Martin Holzwarth ◽

Julian Sessner ◽

Jörg Franke ◽

...

Keyword(s):

Context Awareness ◽

Smart Home ◽

Daily Life ◽

Smart Environments ◽

Emotion Detection ◽

Post Intervention ◽

Detection Software

AbstractAll aspects of daily life increasingly include digitization. So-called „smart home“ technologies, as well as „wearables“, are gaining attention from more and more dwellers. Therefore, sensor-based, individualized, AI-based services for improved post-intervention monitoring and therapy accompaniment will become feasible and possible if these systems offer a related context-awareness. This paper provides an approach on how to sense and interpret specific contexts with the help of wearables, smartwatches, smart home sensors, and emotion detection software.

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