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A Cooking Assistance System for Patients with Alzheimers Disease Using Reinforcement Learning


Authors: H. Chen and Y. C. Soh
Title: A Cooking Assistance System for Patients with Alzheimers Disease Using Reinforcement Learning
Abstract: With the rapid increase of population with Alzheimer’s disease, it has been more and more costly for the society to provide personal care to the patients. Artificial intelligence (AI) technologies, which are believed to significantly reduce the personal care cost, have been widely introduced to assist home care to the elderly people. In this paper, we design a reminder agent to help the patients with Alzheimer’s disease in cooking tasks. The reminder agent divides the cooking task into a set of subtasks, and optimizes the time a reminder is released to the patient in each subtask. The cooking procedure is formulated as an MDP with continuous action space. Due to the large scale of the formulated MDP, we propose a solution to the MDP based on reinforcement learning.
Keywords: Reminder agent; MDP; Reinforcement learning
Journal Name: International Journal of Information Technology, vol. 23, no. 2
Publisher: Singapore Computer Society
Year: 2017
Accepted PDF File: A_Cooking_Assistance_System_for_Patients_with_Alzheimers_Disease_Using_Reinforcement_Learning_accepted.pdf
Permanent Link: http://www.intjit.org/journal/download/down.php?file=/23/2/232_4.pdf
Reference: H. Chen and Y. C. Soh, “A cooking assistance system for patients with Alzheimers disease using reinforcement learning,” International Journal of Information Technology, vol. 23, no. 2, pp. 1–12, 2017.
bibtex: 
@article {LILY-j45,
   author	= {Chen, Haipeng and Soh, Yeng Chai}, 
   title	= {A Cooking Assistance System for Patients with {A}lzheimers Disease Using Reinforcement Learning}, 
   journal	= {International Journal of Information Technology}, 
   year		= {2017},  
   volume	= {23}, 
   number	= {2}, 
   pages	= {1-12},
   publisher 	= {Singapore Computer Society}, 
}