The music game is one of the popular game styles where a player is typically requested to take specific actions at specific moments corresponding to the prominent acoustic epoch in the music playing in the background. Stage data for such games record a sequence of actions the player has to take. Creating such data is a difficult task that requires skilled artists. It is also time-consuming because such games require multiple sequences with different difficulty levels. We propose a method for generating sparse stage data with lower difficulty levels by expressing the position of the target by a certain representation of rhythm.

We used dance video game (DVG) training as a mean of improving elderly's cognitive function and investigated whether the elderly with MCI could overcome the once affected cognitive function via continuous DVG training. Nine elderly participated in 6-weeks of DVG training for almost 3 months on 2015 and 2016 with 6 months break. Their cognitive ability (MoCA-J scores) and the prefrontal activity during DVG play were evaluated throughout the intervention. The cognitive ability and the performance of the DVG showed improvement especially in the elderly with MCI. The prefrontal activity showed increase through initial training of DVG and decrease at the end of the intervention, suggesting the cognitive load required for DVG play. Our results suggest that DVG is a promising intervention for elderly people with MCI to maintain their cognitive ability, and that we can utilize the prefrontal activity during DVG play to determine an appropriate difficulty of the DVG training.

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