Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/368225
Title: | Analysis and Evaluation of Ecg Signal for Emotion Recognition using Computational Intelligence |
Researcher: | Goel, Supriya |
Guide(s): | Tomar, Pradeep and Kaur Gurjit |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Gautam Buddha University |
Completed Date: | 2017 |
Abstract: | In this thesis, a novel affective computational system has been designed for recognition of newlineemotional states i.e. calm, stress and anger by analyzing ECG morphological features pattern. For newlinevalidation of this research, an authentic ECG real-time data of 17 drivers is used which was newlineacquired in emotion simulated pathways. |
Pagination: | All Pages |
URI: | http://hdl.handle.net/10603/368225 |
Appears in Departments: | Department of Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 24.54 kB | Adobe PDF | View/Open |
02_acknowledgements.pdf | 8.13 kB | Adobe PDF | View/Open | |
03_certificate.pdf | 687.85 kB | Adobe PDF | View/Open | |
04_chapter_1.pdf | 501.14 kB | Adobe PDF | View/Open | |
05_chapter_2.pdf | 344.8 kB | Adobe PDF | View/Open | |
06_chapter_3.pdf | 1.5 MB | Adobe PDF | View/Open | |
07_chapter_4.pdf | 1.64 MB | Adobe PDF | View/Open | |
08_chapter_5.pdf | 905.25 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 272.28 kB | Adobe PDF | View/Open |
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