AI-Powered Alzheimer's Care: Smart Face Recognition, Medicine Reminders, and Location

Alzheimer's disease is a progressive neurological disorder characterized by a decline in cognitive functions, memory loss, and behavioural changes. This disease is the most communal cause of dementia, affecting primarily older individuals. Currently, there is no cure for Alzheimer's disease. Treatment mainly aims to manage symptoms and enhance the person's quality of life for the affected individuals. So, for helping them a web application that will incorporate with a Medicine reminder system, Location tracking system and Face recognition system utilizing deep learning models is Formulated. When an Alzheimer's patient interacts with someone, the facial recognition system can quickly identify the individual and provide relevant information about them, such as their name, relationship to the patient, and any important details. For this a model is created using MTCNN to detect faces and FaceNet for recognizing those faces. This technology can help Alzheimer's patients maintain social connections and reduce feelings of confusion or anxiety when interacting with unfamiliar people. Additionally, the web application will include a medicine reminder system, that will send reminders to the patients, ensuring they take their medication on time and in the correct dosage. Location tracking system for patients who may wander or get lost. This feature can help caregivers locate the patient in case they wander away from home. The goal of the project is to support individuals with Alzheimer's disease, enhancing their safety and social interactions.

Authors

Publication Details

Published
2024-09-21
DOI
https://doi.org/10.1109/nkcon62728.2024.10774795
Citations
3
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.75
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article

AI-Powered Alzheimer's Care: Smart Face Recognition, Medicine Reminders, and Location

P. Kanchanamala, Satish Muppidi, RamPrasad Chippada, Tejasri Bennabatthula
3 citations
Face recognition and analysis
0.75
article

AI-Powered Alzheimer's Care: Smart Face Recognition, Medicine Reminders, and Location

P. Kanchanamala, Satish Muppidi, RamPrasad Chippada, Tejasri Bennabatthula
article en
3 citations

Abstract

Alzheimer's disease is a progressive neurological disorder characterized by a decline in cognitive functions, memory loss, and behavioural changes. This disease is the most communal cause of dementia, affecting primarily older individuals. Currently, there is no cure for Alzheimer's disease. Treatment mainly aims to manage symptoms and enhance the person's quality of life for the affected individuals. So, for helping them a web application that will incorporate with a Medicine reminder system, Location tracking system and Face recognition system utilizing deep learning models is Formulated. When an Alzheimer's patient interacts with someone, the facial recognition system can quickly identify the individual and provide relevant information about them, such as their name, relationship to the patient, and any important details. For this a model is created using MTCNN to detect faces and FaceNet for recognizing those faces. This technology can help Alzheimer's patients maintain social connections and reduce feelings of confusion or anxiety when interacting with unfamiliar people. Additionally, the web application will include a medicine reminder system, that will send reminders to the patients, ensuring they take their medication on time and in the correct dosage. Location tracking system for patients who may wander or get lost. This feature can help caregivers locate the patient in case they wander away from home. The goal of the project is to support individuals with Alzheimer's disease, enhancing their safety and social interactions.

Openalex Percentile: Top 26%
Face recognition and analysis
0.75
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