Abstract
With Re-Flex, we aim to create a tool that can improve upon contemporary reflex training methods. Most of the existing solutions are just simple games that don’t take into account personal data or biometrics, thus often providing ineffective training that fails to generate any significant improvements. Re-Flex is being designed as a general-purpose reflex training tool that can be tuned to target a specific audience or use case through the use of training profiles. We plan on incorporating pupil detection and bio-signals into the array of data we collect from our users. With this additional training, we will be able to take an in-depth look at users' behavior and provide recommendations on how they can improve their in-game performance and reach their goals.
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