Visual Data Exploration for Balance Quantification in Real-Time During Exergaming.

ABSTRACT: Unintentional injuries are among the ten leading causes of death in older adults; falls cause 60% of these deaths. Despite their effectiveness to improve balance and reduce the risk of falls, balance training programs have several drawbacks in practice, such as lack of engaging elements, boring exercises, and the effort and cost of travelling, ultimately resulting in low adherence. Exergames, that is, digital games controlled by body movements, have been proposed as an alternative to improve balance. One of the main challenges for exergames is to automatically quantify balance during game-play in order to adapt the game difficulty according to the skills of the player. Here we perform a multidimensional exploratory data analysis, using visualization techniques, to find useful measures for

SUBMITTER: Soancatl Aguilar V 

PROVIDER: S-EPMC5279763 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature