Checkers Game Therapy to Improve the Mental Ability Of Alzheimer’s Patient using AI Virtual Assistant

Abstract

This study uses Deep Q-Network (DQN) reinforcement learning algorithms in checkers-based play therapy for Alzheimer's disease. This study examines Deep Q-Network (DQN)'s effects on Alzheimer's patients' cognition, memory, and well-being. This study uses checkers to boost cognition. Alzheimer's disease gradually destroys memory, cognition, and well-being. Creative cognitive and emotional therapies are needed as Alzheimer's prevalence rises. DQN is promising. This study analyses how checkers increase memory and brain activity. Innovative Alzheimer's treatments are being investigated. This study proposes Alzheimer's disease treatments using checkers' benefits. Introduction Alzheimer's disease causes memory loss and cognitive deterioration. Creative solutions to promote cognition and well-being are needed as Alzheimer's disease spreads worldwide. This study proposes the utilization of checkers. Cognitive wellbeing requires memory improvement and brain engagement (Stern). This study strengthens the case for play therapy and reinforcement learning for Alzheimer's disease. Deep Q-Network (DQN) and checkers games may help tailor cognitive therapies for Alzheimer's sufferers. Integration may help these patients.

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