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Serious Games and ML for Detecting MCI

Abstract: 

Our work has focused on detecting Mild Cognitive Impairment (MCI) by developing Serious Games (SG) on mobile devices, distinct from games marketed as 'brain training' which claim to maintain mental acuity. One game, WarCAT, captures players' moves during the game to infer processes of strategy recognition, learning, and memory. The purpose of our game is to use the generated game-play data combined with machine learning (ML) to help detect MCI. MCI is difficult to detect for several reasons. Firstly, it is a mild impairment and as such difficult to detect in its early stages, Secondly, it is a subtle impairment for which the brain attempts compensation; as a consequence, it is considered rare in light of normal cognitive decline and the brain's ability to mask its manifestation. The problem of early MCI detection is further compounded as people have various cognitive acumen which again can lead to false positives which would exacerbate the rare diagnosis still further. To evaluate the conjecture, ML methods are used to generate synthetic data to plausibly emulate a large population of players. Reinforcement Learning (RL) is used to train bots as RL most closely emulates the way humans learn. Considerable trial and error (training) is required, therefore RL bots were developed that process millions of gameplay training patterns and achieve results comparable to the best human performance. This baseline allows us to create bots to emulate individuals at various stages of learning, or conversely, various levels of cognitive decline. The paper demonstrates the ML work to both generate data and subsequently classify different levels of play. This development stage is necessary as part of the larger objective to create SGs that detect MCI.

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Paper Details

Authors:
Mahmood Aljumaili, Robert D McLeod, Marcia Friesen
Submitted On:
12 November 2019 - 12:45am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Mahmood Aljumaili
Document Year:
2019
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GlobalSIP 2019 - Serious Games and ML for Detecting MCI.pdf

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[1] Mahmood Aljumaili, Robert D McLeod, Marcia Friesen, "Serious Games and ML for Detecting MCI", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4949. Accessed: Dec. 12, 2019.
@article{4949-19,
url = {http://sigport.org/4949},
author = {Mahmood Aljumaili; Robert D McLeod; Marcia Friesen },
publisher = {IEEE SigPort},
title = {Serious Games and ML for Detecting MCI},
year = {2019} }
TY - EJOUR
T1 - Serious Games and ML for Detecting MCI
AU - Mahmood Aljumaili; Robert D McLeod; Marcia Friesen
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4949
ER -
Mahmood Aljumaili, Robert D McLeod, Marcia Friesen. (2019). Serious Games and ML for Detecting MCI. IEEE SigPort. http://sigport.org/4949
Mahmood Aljumaili, Robert D McLeod, Marcia Friesen, 2019. Serious Games and ML for Detecting MCI. Available at: http://sigport.org/4949.
Mahmood Aljumaili, Robert D McLeod, Marcia Friesen. (2019). "Serious Games and ML for Detecting MCI." Web.
1. Mahmood Aljumaili, Robert D McLeod, Marcia Friesen. Serious Games and ML for Detecting MCI [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4949