Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2
Blockchain Framework for Communication between Vehicle through IoT Devices and Sensors
Volume-3 | Issue-2
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3
A Review on Data Securing Techniques using Internet of Medical Things
Volume-3 | Issue-3
Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2
Maximizing the Prediction Accuracy in Tweet Sentiment Extraction using Tensor Flow based Deep Neural Networks
Volume-3 | Issue-2
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
DDOS ATTACK DETECTION IN TELECOMMUNICATION NETWORK USING MACHINE LEARNING
Volume-1 | Issue-1
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3
Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2
Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2
Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
Volume-3 | Issue-4
Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2
Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4
Design of Data Mining Techniques for Online Blood Bank Management by CNN Model
Volume-3 | Issue-3
Ethereum and IOTA based Battery Management System with Internet of Vehicles
Volume-3 | Issue-3
Volume - 5 | Issue - 3 | september 2023
Published
27 July, 2023
Dementia is an incessant neurodegenerative disease that to a degree influences millions of people around the world. Alzheimer’s disease is a major reason for dementia, a term for the decline of memory and cognition, severe enough to impact everyday human performance. According to various studies, Alzheimer’s disease has been found to account for 60 to 80% of dementia cases. Alzheimer’s disease consists of 7 stages with different indicators. As the stage progresses, the patient’s condition worsens over time and the dependency on the caregivers also increase. In this work, an Android application to provide a virtual guide for people with dementia and make tasks easier for caregivers is developed. This application will provide several features such as Family and Relationship information, Location Tracking using the Android location provider API, medication and exercise reminders with the alarm manager class, memory quizzes, and music therapy using Convolutional Neural Networks (CNN). The novelty of this application is the connection with volunteers in the vicinity using a spatial index for emergency assistance in situations where the nurse cannot physically attend to the patients. The aim of the application is to provide an integrated solution for counseling in all aspects of life in every stage of dementia.
KeywordsDementia Alzheimer Caretaker Mobile Application
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