| Type of Material: | Thesis |
| Title: | Automated analysis of emotion recognition and personality prediction using eeg signals |
| Researcher: | Acharya, Divya |
| Guide: | Bhardwaj, Arpit | Goel, Shivani |
| Department: | School of Computer Science Engineering and Technology |
| Publisher: | Bennett University |
| Place: | Greater Noida |
| Year: | 2021 |
| Language: | English |
| Subject: | Automation and Control Systems | Computer Science | EEG Signals | Emotion Recognition | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; School of Computer Science Engineering and Technology, Bennett University, Greater Noida; 2021 |
| Fulltext: | Shodhganga |
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| 005 | 2026-10-12 17:56:43 | |
| 008 | __ | 261012t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_464114 |
| 040 | __ | |dIN-AhILN|aBENN_201310 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aAcharya, Divya |
| 110 | __ | |aSchool of Computer Science Engineering and Technology|0U-0890|dGreater Noida|bBennett University|ein |
| 245 | __ | |aAutomated analysis of emotion recognition and personality prediction using eeg signals |
| 260 | __ | |aGreater Noida|c2021|bBennett University |
| 300 | __ | |dDVD |
| 502 | __ | |d2021|bPhD|cSchool of Computer Science Engineering and Technology, Bennett University, Greater Noida |
| 518 | __ | |d2021|oDate of Award |
| 518 | __ | |d2017|oDate of Registration |
| 518 | __ | |d2021|oDate of Completion |
| 520 | __ | |aBoth human behaviour analysis and affective computing have been highly significant to the study of human-computer interaction (HCI). As a predictor of human behaviour, Psychologists and human resources workers have long utilised emotion recognition and personality profiling. The study of human emotions and personalities in order to design computer models that understand how people respond to various situations is essential for applications in many different areas, including entertainment, health care, military, retail, and education. However in literature different methods are used to analyze emotions and personality traits but they suffer from data reliability issue and masking of physical behavior. The long and tedious process of identifying and estimating personalities is more of a hindrance than a help. Therefore, in order to fulfill this requirement, there must be efforts made to overcome these problems and automate the process of determining the presence of emotions and personality characteristics bas |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aAutomation and Control Systems |
| 653 | __ | |aComputer Science |
| 653 | __ | |aEEG Signals |
| 653 | __ | |aEmotion Recognition |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aBhardwaj, Arpit|eGuide |
| 700 | __ | |aGoel, Shivani|eGuide |
| 856 | __ | |yShodhganga|uhttp://shodhganga.inflibnet.ac.in/handle/10603/356536 |
| 905 | __ | |afromsg |
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