Emotion recognition using brian signals based on time-frequency analysis and supervised learning algorithm

Emotion recognition using brian signals based on time-frequency analysis and supervised learning algorithm

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Opis bibliograficzny
Główni autorzy:	Hossain, Prommy Sultana Ferdawoos, Shaikat, Istiaque Mannafee, George, Fabian Parsia
Kolejni autorzy:	Uddin, Jia
Format:	Praca dyplomowa
Język:	English
Wydane:	BRAC University 2018
Hasła przedmiotowe:	Brain Computer Interface (BCI) DEAP IAPS Emotion recognition Brian signals Learning algorithm
Dostęp online:	http://hdl.handle.net/10361/10188

Podobne zapisy

Optimizing cognitive efficiency of emotiv EPOC and controlling wheelchair through it
od: Chowdhury, Pritom, i wsp.
Wydane: (2015)

Emotion recognition using EEG signal and deep learning approach
od: Islam, Sayedi Hassan Bin, i wsp.
Wydane: (2019)

Classi fication of motor imagery tasks based on BCI paradigm
od: Hossain, Nahid, i wsp.
Wydane: (2019)

Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
od: Rafidul Islam, Sheikh Md, i wsp.
Wydane: (2022)

EEG signals analysis for motor imagery brain computer interface
od: Rahman, La z Maruf, i wsp.
Wydane: (2019)

Comparative analysis of emotion recognition methods
od: Zaman, Mustafa, i wsp.
Wydane: (2010)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
od: Hasan, Anita, i wsp.
Wydane: (2022)

Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
od: Islam, Md. Tahmidul, i wsp.
Wydane: (2023)

Emotion detection from frontal facial image
od: Hussain, Sakib
Wydane: (2014)

Emotional intelligence : why it can matter more than IQ /
od: Goleman, Daniel
Wydane: (1996)

Early threat warning via speech and emotion recognition from voice calls
od: Ishtiak, Ifaz, i wsp.
Wydane: (2019)

Exploring cognitive load and emotional states for the visually impaired
od: Afroz, Sharmin, i wsp.
Wydane: (2019)

Emotional intelligence /
od: Goleman, Daniel
Wydane: (1995)

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
od: Esha, Ishraq Ahmed, i wsp.
Wydane: (2023)

Emotion in interaction
od: Peräkylä, Anssi

Application of machine learning in attentiveness detection from EEG signal
od: Ridi, Sadia Sobhana, i wsp.
Wydane: (2023)

Study on human emotion based on facial expressions through human machine communication
od: Murshed, Tahmin Aysha, i wsp.
Wydane: (2021)

Emotional discipline : the power to choose how you feel : 5 life changing steps to feeling better every day /
od: Manz, Charles C.
Wydane: (2003)

IoT based brain-wave assistive system for paralyzed individuals
od: Monowara, Syeda Maliha, i wsp.
Wydane: (2021)

Literature and emotion /
od: Hogan, Patrick Colm
Wydane: (2018)

Stress detection for visually impaired people using EEG signals based on extracted features from time-frequency domain
od: Sultana, Samia
Wydane: (2023)

Development of a Brain-Computer Interface (BCI) for person with disabilities to control their wheelchair using brain waves along with health monitoring system
od: Salim Rafid, Sk Tahmed, i wsp.
Wydane: (2024)

Innovations in rational-emotive therapy /
Wydane: (1993)

Electroencephalography based brain controlled grasp and lift
od: Chakraborty, Pritam, i wsp.
Wydane: (2022)

Analysis of financial statements of Brian Station 23 Limited
od: Alam, Md. Khosrul
Wydane: (2023)

RED-LSTM: Real time emotion detection using LSTM
od: Labiba, Mansura Rahman, i wsp.
Wydane: (2023)

Emotional longevity : what really determines how long we live /
od: Anderson, Norman B.
Wydane: (2003)

Destructive emotions : how can we overcome them? : a scientific dialogue with the Dalai Lama /
od: Goleman, Daniel
Wydane: (2003)

Emotion detection using EEG signals
od: Hossain, Mohammad Adnan
Wydane: (2021)

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
od: Ahmed, Hasibul Hasan, i wsp.
Wydane: (2024)

Detection of mind wandering using EEG signals
od: Tasika, Nadia Jebin, i wsp.
Wydane: (2020)

Emotional intelligence and self-efficacy beliefs among secondary EFL teachers in Bangladesh: a path analysis
od: Rimpu, Sefat Jeshin
Wydane: (2021)

Behavior change analysis due to violent video gaming using deep learning models
od: Rahman, Akhlak Ur, i wsp.
Wydane: (2024)

Emotion detection for Bangla language
od: Rushan, Rowshan Rahman, i wsp.
Wydane: (2024)

Cognitive efficiency in robot control by Emotiv EPOC
od: Chowdhury, Pritom, i wsp.
Wydane: (2016)

Supervising vehicle using pattern recognition
od: Lushan, Mihodi Hasan, i wsp.
Wydane: (2018)

Parent’s perception and practices on socio-emotional development of 0-3 years old children
od: Begum, Iffat Ara
Wydane: (2023)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
od: Hossain, Prommy Sultana
Wydane: (2022)

The cultural politics of emotion /
od: Ahmed, Sara, 1969-
Wydane: (2004)