Cognitive load detection of vision impaired in the inward places using Bio-signal
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
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| Формат: | Диссертация |
| Язык: | en_US |
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Brac University
2020
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| Online-ссылка: | http://hdl.handle.net/10361/14071 |
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10361-140712022-01-26T10:13:16Z Cognitive load detection of vision impaired in the inward places using Bio-signal Kabir, Raiyan Rashid, Md. Mamun Or Parvez, Mohammad Zavid Department of Computer Science and Engineering, Brac University Cognitive Load Detection Vision Impaired Bio-signal This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 26-28). In this current world, approximately 290 millions of people are partially or fully blind. They can not roam around like the normal people. Visually Impaired People (VIP) have to face many obstacles everyday in inward and outward places. Moreover, it is pretty difficult for them to move for their daily works. They face difficulties when they try to move one place to another. Mobility in different environments in inward can be challenging and emotionally stressful tasks for VIPs when they are navigating in an unfamiliar environment. There are some navigation tools such as guide dog white cane but these aids are failed to uprootd key problems such as including route planning, discovering landmarks. It is matter of great sorrow that still in this era of technology we could not help them with a proper solution that includes all the key problem. These circumstances can be both psychological and social. Electroencephalogram (EEG) is a tool that records electrical activities over the scalp. This is a very useful technique which is used widely all over the world. In this paper, we will measure cognitive load through EEG signals for observing the usability test of navigating tools for determine whether these navigating tools are helpful or not . A classification accuracy of 77.35% for automated door,82.78%of accuracy for narrow space, 84.91% of accuracy for open space, 88.99% of accuracy for elevator, 79.19% of accuracy for stairs, 83.47% of accuracy for moving objects and 86.89% of accuracy for sound, which was achieved by this proposed model. In this paper observing usability test of navigating aids so that VIPs can feel confidence and comfortable when using any navigating tools for roaming around Raiyan Kabir Md. Mamun Or Rashid B. Computer Science 2020-10-28T05:17:48Z 2020-10-28T05:17:48Z 2019 2019-12 Thesis ID: 16101140 ID: 15301063 http://hdl.handle.net/10361/14071 en_US 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. 28 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
Cognitive Load Detection Vision Impaired Bio-signal |
| spellingShingle |
Cognitive Load Detection Vision Impaired Bio-signal Kabir, Raiyan Rashid, Md. Mamun Or Cognitive load detection of vision impaired in the inward places using Bio-signal |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. |
| author2 |
Parvez, Mohammad Zavid |
| author_facet |
Parvez, Mohammad Zavid Kabir, Raiyan Rashid, Md. Mamun Or |
| format |
Thesis |
| author |
Kabir, Raiyan Rashid, Md. Mamun Or |
| author_sort |
Kabir, Raiyan |
| title |
Cognitive load detection of vision impaired in the inward places using Bio-signal |
| title_short |
Cognitive load detection of vision impaired in the inward places using Bio-signal |
| title_full |
Cognitive load detection of vision impaired in the inward places using Bio-signal |
| title_fullStr |
Cognitive load detection of vision impaired in the inward places using Bio-signal |
| title_full_unstemmed |
Cognitive load detection of vision impaired in the inward places using Bio-signal |
| title_sort |
cognitive load detection of vision impaired in the inward places using bio-signal |
| publisher |
Brac University |
| publishDate |
2020 |
| url |
http://hdl.handle.net/10361/14071 |
| work_keys_str_mv |
AT kabirraiyan cognitiveloaddetectionofvisionimpairedintheinwardplacesusingbiosignal AT rashidmdmamunor cognitiveloaddetectionofvisionimpairedintheinwardplacesusingbiosignal |
| _version_ |
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