Emotion recognition using fourier transform and genetic programming

Acharya, Divya; Billimoria, Anosh; Srivastava, Neishka; Goel, Shivani; Bhardwaj, Arpit

doi:10.1016/j.apacoust.2020.107260

Cited by 37 publications

(10 citation statements)

References 24 publications

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“…In this study, we have tried to analyze the emotions of an individual by studying their brain waves using EEG signals which describe the mental health of individuals during pandemics. Emotion recognition-based behavior analysis benefits society and also it is an evolving research area [10,11]. Emotion identification refers to a person's ability to recognize successful responses that occur in a variety of daily interactions.…”

Section: Introductionmentioning

confidence: 99%

A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals

Sakalle

Tomar

Bhardwaj

et al. 2022

Journal of Healthcare Engineering

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COVID-19, a WHO-declared public health emergency of worldwide concern, is quickly spreading over the world, posing a physical and mental health hazard. The COVID-19 has resulted in one of the world’s most significant worldwide lockdowns, affecting human mental health. In this research work, a modified Long Short-Term Memory (MLSTM)-based Deep Learning model framework is proposed for analyzing COVID-19 effect on emotion and mental health during the pandemic using electroencephalogram (EEG) signals. The participants of this study were volunteers that recovered from COVID-19. The EEG dataset of 40 people is collected to predict emotion and mental health. The results of the MLSTM model are also compared with the other literature classifiers. With an accuracy of 91.26%, the MLSTM beats existing classifiers when using the 70–30 partitioning technique.

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Section: Introductionmentioning

confidence: 99%

A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals

Sakalle

Tomar

Bhardwaj

et al. 2022

Journal of Healthcare Engineering

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“…By relating art education to empathy, results can be obtained in terms of recognizing what another person thinks and vibrating even with what he or she feels. In this sense, this direction will try to analyze how to express and expand the inner world to those around us [94,95].…”

Section: Discrete Emotion Positive Influence Achievement Emotionmentioning

confidence: 99%

Emotional Creativity in Art Education: An Exploratory Analysis and Research Trends

González-Zamar

Abad-Segura

2021

IJERPH

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The emotions that human beings experience have a key role in the environments in which they operate. In art education, creative processes are influenced by the emotions and experiences lived by the individual, enabling a more emotional and creative design to make life more pleasant. The aim was to examine the research during the period 1917–2020 on the development of emotional creativity in art education. Mathematical and statistical techniques were applied to 984 articles carried from Elsevier’s Scopus database. The findings yielded data on the scientific productivity of the journal, authors, research institutions, and countries/territories that promoted this field. The data showed an exponential trend, mostly in the last decade. Five lines of research stand out: emotion, higher education, education, art, and leadership. Moreover, five future research directions related to visual art education, affective paradigm, metacompetency, expressive arts therapy group, and cognitive empathy were detected. This study establishes the link between psychology, neuroscience, and artistic education to constitute the decision-making of the promoters of this topic of research. The analysis of international research allowed us to focus the future publications of academics and researchers, in addition to guaranteeing an adequate approach to the objectives of the institutions and funding centers.

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“…Acharya et al [24] have presented the combined emotions and brain signal, which was obtained while stimulating the emotions of humans using different movie clips. Furthermore, these brain signals as electroencephalogram device were removed with fast Fourier transform and apply that genetic programming for the classification of emotions.…”

Section: Literature Reviewmentioning

confidence: 99%

Human emotion recognition based on block patterns of image and wavelet transform

2021

IJATEE

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Emotion recognition using fourier transform and genetic programming

Cited by 37 publications

References 24 publications

A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals

A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals

Emotional Creativity in Art Education: An Exploratory Analysis and Research Trends

Human emotion recognition based on block patterns of image and wavelet transform

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