| dc.description.abstract | This thesis covers the development of a mobile game application intended to stimulate
the cognitive functions of people with Mild Cognitive Impairment (MCI). Mild cognitive
impairment is a condition that affects memory and other cognitive abilities. It is sometimes regarded as a transitional stage between normal age-related cognitive decline and
more serious illnesses such as Alzheimer’s disease. The fundamental goal of this project is
to improve cognitive capacities and give a useful tool for people who are having cognitive
issues. By immersing users in cognitive exercises, the game hopes to delay the progression
of cognitive decline and improve general mental functioning.
This project expands on the existing Brain Train app by offering a new game mode
for language training. Language skills are essential for good communication and overall
cognitive health, and the new game mode focuses exclusively on them. The methodology uses advanced word embedding techniques to create a word association game that
promotes semantic memory and improves language processing skills. Semantic memory,
or the recall of broad world information, including concepts and facts, is a critical area
damaged by MCI. Improving this element of memory can have a substantial impact on
people’s daily lives and interactions.
The Word2Vec technique, which was originally created by Google, is used in the word
embedding process. Word2Vec is a sophisticated model that converts words into continuous vector representations while preserving semantic links between them. Using this
technology, the game may provide relevant and demanding word association activities that
promote cognitive processing. The Word2Vec model can be trained on various corpuses
of literature to ensure accurate and relevant word associations.
The final model and its use in developing a word semantic relationship game produce
positive results. However, further improvement is required. Future enhancements may
include increasing the Word2Vec training corpus, improving the user interface, and introducing variable difficulty levels. This thesis enhances mobile technology for cognitive
rehabilitation by providing a fun and engaging approach for people with MCI to exercise
their minds, while also demonstrating the effectiveness of word embedding techniques in
cognitive training. | en_US |
