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InstrumentationNASA · NASANASA

ZONE (Zeroing Out Negative Effects)

NASA Langley Research Center·2015·ACTIVE
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INSTITUTION

NASA Langley Research Center

PRINCIPAL INVESTIGATOR

FUNDING

YEAR

2015

MOONBASE SCORE

0/100

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Abstract

The system uses perturbation feedback to help the athlete get into the zone through an original method of ZONE. The method allows a trainee to learn physiological self-regulation in order to modify the difficulty of the performance task and/or environment in which training is conducted. For example, better concentration leads to a variety of easier conditions on a training putting green. The technology incorporates software and hardware to provide real-time feedback to the athlete about how close his or her arousal and emotive responses are to an optimal state required to successfully perform the athletic task. This innovation presents the capability to extend current sports training and psychological practices of guided imagery visualization and cognitive reinforcement learning by systematically providing demonstrable and relevant feedback through the use of closed-loop, cybernetic feedback principles that provide immediate reinforcement of pyschophysiological self-regulation and translate into better skill-based performance. NASA's Langley Research Center has developed ZONE, an innovative method for improving athletes responses to stress, anxiety, and loss of concentration during competition. In the training environment, when the user successfully attains an optimal target state of psychophysiological functioning, the technology informs and/or rewards that user through real-time physical changes in the athletic equipment. For example, in the training setting, a golfer can work toward optimal concentration in the act of putting, leading to improved performance in real situations.

Instrumentationstress managementreal-time feedbackpsychophysiological self-regulationathlete trainingcognitive reinforcement learningperturbation feedbackguided imagerycybernetic feedbacksports technologyarousal optimization

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