Dementia Demystified: A Survey of Datasets, Models and Assistive Technologies
DOI:
https://doi.org/10.69980/ajpr.v28i5.572Keywords:
Dementia detection, Computational models, Assistive Technologies, DatasetsAbstract
Dementia is a progressive neurological disorder that significantly impairs memory, cognition and daily functioning by affecting millions of individuals worldwide. As the global population ages there is a huge demand for early diagnosis, effective management and supportive care solutions continues to rise. This survey provides a comprehensive overview of dementia through begin with an exploration of its clinical background and common symptoms. We then examine a broad range of datasets that have been utilized in dementia related research by highlighting their characteristics, accessibility and relevance. The paper also reviews various computational and machine learning models developed for the detection and classification of dementia by discussing their methodologies along with performance and limitations. Also the paper explore a variety of assistive technologies designed to support individuals with dementia in their daily lives by including cognitive aids, monitoring systems and user friendly interfaces. By bridging clinical insights with technological advances this survey aims to guide researchers, developers and healthcare professionals toward more effective and integrated solutions for dementia care.
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