Exploring cognitive load and emotional states for the visually impaired
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
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| Լեզու: | English |
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Brac University
2019
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| Առցանց հասանելիություն: | http://hdl.handle.net/10361/12352 |
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10361-123522022-01-26T10:20:09Z Exploring cognitive load and emotional states for the visually impaired Afroz, Sharmin Shimanto, Zubaed Hassan Jahan, Ra qua Sifat Parvez, Mohammad Zavid Department of Computer Science and Engineering, Brac University Cognitive load Emotional states EEG Human brain Entropy SVM Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 34-39). Cognitive load and emotional states may impact for designing an assistive navigation aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram (EEG) signals were captured from participants with di erent degree sight loss peoples (DDSLPs). EEG signals were then used to measure various cognitive loads and emotions to test the usability of an intelligent navigation aids. To support the argument of testing the usability of a navigation aids, the complexity of the tasks in terms of cognitive load and emotions were quanti ed considering diverse factors by extracting features from various well established entropies when DDSLPs will navigate unfamiliar indoor environments with di erent obstacles. Experimental results show that classi cation accuracy for narrow space is 97.61% for cognitive load. Moreover, the experiment achieves that 90.40% and 50.60% classi cation accuracy for arousal and valence in the open space and stairs, respectively. Sharmin Afroz Zubaed Hassan Shimanto Ra qua Sifat Jahan B. Computer Science and Engineering 2019-07-14T05:00:16Z 2019-07-14T05:00:16Z 2019 2019-04 Thesis ID 15101041 ID 14301057 ID 14101123 http://hdl.handle.net/10361/12352 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 40 pages application/pdf Brac University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Cognitive load Emotional states EEG Human brain Entropy SVM Machine learning |
| spellingShingle |
Cognitive load Emotional states EEG Human brain Entropy SVM Machine learning Afroz, Sharmin Shimanto, Zubaed Hassan Jahan, Ra qua Sifat Exploring cognitive load and emotional states for the visually impaired |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. |
| author2 |
Parvez, Mohammad Zavid |
| author_facet |
Parvez, Mohammad Zavid Afroz, Sharmin Shimanto, Zubaed Hassan Jahan, Ra qua Sifat |
| format |
Thesis |
| author |
Afroz, Sharmin Shimanto, Zubaed Hassan Jahan, Ra qua Sifat |
| author_sort |
Afroz, Sharmin |
| title |
Exploring cognitive load and emotional states for the visually impaired |
| title_short |
Exploring cognitive load and emotional states for the visually impaired |
| title_full |
Exploring cognitive load and emotional states for the visually impaired |
| title_fullStr |
Exploring cognitive load and emotional states for the visually impaired |
| title_full_unstemmed |
Exploring cognitive load and emotional states for the visually impaired |
| title_sort |
exploring cognitive load and emotional states for the visually impaired |
| publisher |
Brac University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/12352 |
| work_keys_str_mv |
AT afrozsharmin exploringcognitiveloadandemotionalstatesforthevisuallyimpaired AT shimantozubaedhassan exploringcognitiveloadandemotionalstatesforthevisuallyimpaired AT jahanraquasifat exploringcognitiveloadandemotionalstatesforthevisuallyimpaired |
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1814309279107121152 |