Cognitive activity detection and tracing system
buir.contributor.author | Yıldırım, Onur | |
buir.contributor.orcid | Yıldırım, Onur|0000-0002-2405-1537 | |
dc.citation.epage | 1168 | |
dc.citation.issueNumber | 4 | |
dc.citation.spage | 1160 | |
dc.citation.volumeNumber | 42 | |
dc.contributor.author | Yıldırım, Onur | |
dc.contributor.author | Kandemir, Çağla | |
dc.contributor.author | Kardaşlar, Emre | |
dc.contributor.author | Sümer, Emre | |
dc.date.accessioned | 2025-02-24T11:35:52Z | |
dc.date.available | 2025-02-24T11:35:52Z | |
dc.date.issued | 2023-08-01 | |
dc.department | Department of Computer Engineering | |
dc.description.abstract | Cognitive problems like Dementia and Alzheimer’s are usually challenging to diagnose but can be noticed by some signs of their symptoms. The most common symptoms are confusion, trouble finding the right word, memory loss, and difficulty concentrating. This study aims to design a cognitive activity detection and tracing system that contains games and analyzes users’ performances then displays detailed statistics to the users. The proposed Cognitive Activity Detection and Tracing System (CADTS) is software that contains different kinds of games from different categories inside its body that aims to measure cognitive activity by utilizing formulations in the context of the games and give feedback to users concerning the performance analyses done. The purpose of these analyses is to catch the signs of symptoms. An insight into a possible scoring system is provided, and as our results, several descriptive statistics are shared based on the tests conducted. | |
dc.identifier.doi | 10.14744/sigma.2024.00094 | |
dc.identifier.eissn | 1304-7191 | |
dc.identifier.issn | 1304-7205 | |
dc.identifier.uri | https://hdl.handle.net/11693/116749 | |
dc.language.iso | English | |
dc.publisher | KARE Publishing, Kare Yayıncılık | |
dc.relation.isversionof | https://dx.doi.org/10.14744/sigma.2024.00094 | |
dc.rights | CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.source.title | Journal of Engineering and Natural Sciences | |
dc.subject | Alzheimer | |
dc.subject | Cognitive activity | |
dc.subject | Data analysis | |
dc.subject | Dementia | |
dc.subject | Feedback | |
dc.subject | Game | |
dc.subject | Tracking | |
dc.title | Cognitive activity detection and tracing system | |
dc.type | Article |
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