An ambient assisted living system for Alzheimer’s patients
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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| Langue: | English |
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Brac University
2023
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| Accès en ligne: | http://hdl.handle.net/10361/18028 |
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10361-180282023-03-28T21:01:48Z An ambient assisted living system for Alzheimer’s patients Abedin, Minhajul Ahad, Mohammad Abdul Hasan-Ul-Banna, A.B.M Khan, Nibraz Hossain, Ashfaq Rabiul Alam, Dr. Md. Golam Department of Computer Science and Engineering, Brac University Alzheimer’s Disease Artificial Intelligence Deep Learning Object Detection Face Recognition Face Detection Face Embedding Face Classification YOLOv4 YOLOv7 MTCNN FaceNet SVC RFs Alzheimer’s disease This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 31-32). Alzheimer’s is a brain disorder that gradually deteriorates the brain functions of the patients. As the disease progresses, victims start to lose their memory, thinking ability, eventually rendering them unable to perform basic tasks. They also face many difficulties namely disorientation, wandering, aggression, insomnia, hallucination, etc. What makes the situation worse is that when the caregivers try to help them most of the time they tend not to cooperate. In this paper, we have designed an AI that assists the sufferers in combating these issues by analyzing their environment, daily routine, interests, behavioral patterns, and many more factors. Using computer vision we have created a face recognition framework that identifies individuals in front of the patient & shows him/her their name, how they are related, and some photos & videos of them together. We also used an object detection system that helps prevent wandering by constantly monitoring the surroundings of the patient & notifying the caretakers about items such as keys, shoes, handbags, doors etc that could influence the patient to leave the house. The AI is instructed to alarm the attendant continuously if the patient somehow succeeds to go beyond the safe area. This feature allows the caregivers some free time as they don’t need to monitor the patients 24/7 anymore. The face recognition framework achieves accuracy of 97.44% and the object detection system has mAP of 72.3% that uses YOLOv7 model. Thus, this study tries to achieve its goal to make life comparatively easier for the patients & the caregivers by making the patients self-dependent & discharging the attendants from some of their tasks. Minhajul Abedin Mohammad Abdul Ahad A.B.M Hasan-Ul-Banna Nibraz Khan Ashfaq Hossain B. Computer Science 2023-03-28T06:40:01Z 2023-03-28T06:40:01Z 2022 2022-09 Thesis ID: 18301224 ID: 18301248 ID: 18301143 ID: 18201057 ID: 18101658 http://hdl.handle.net/10361/18028 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. 32 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Alzheimer’s Disease Artificial Intelligence Deep Learning Object Detection Face Recognition Face Detection Face Embedding Face Classification YOLOv4 YOLOv7 MTCNN FaceNet SVC RFs Alzheimer’s disease |
| spellingShingle |
Alzheimer’s Disease Artificial Intelligence Deep Learning Object Detection Face Recognition Face Detection Face Embedding Face Classification YOLOv4 YOLOv7 MTCNN FaceNet SVC RFs Alzheimer’s disease Abedin, Minhajul Ahad, Mohammad Abdul Hasan-Ul-Banna, A.B.M Khan, Nibraz Hossain, Ashfaq An ambient assisted living system for Alzheimer’s patients |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Rabiul Alam, Dr. Md. Golam |
| author_facet |
Rabiul Alam, Dr. Md. Golam Abedin, Minhajul Ahad, Mohammad Abdul Hasan-Ul-Banna, A.B.M Khan, Nibraz Hossain, Ashfaq |
| format |
Thesis |
| author |
Abedin, Minhajul Ahad, Mohammad Abdul Hasan-Ul-Banna, A.B.M Khan, Nibraz Hossain, Ashfaq |
| author_sort |
Abedin, Minhajul |
| title |
An ambient assisted living system for Alzheimer’s patients |
| title_short |
An ambient assisted living system for Alzheimer’s patients |
| title_full |
An ambient assisted living system for Alzheimer’s patients |
| title_fullStr |
An ambient assisted living system for Alzheimer’s patients |
| title_full_unstemmed |
An ambient assisted living system for Alzheimer’s patients |
| title_sort |
ambient assisted living system for alzheimer’s patients |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/18028 |
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