Project Details

Description

SMART Platform for Athletic Music Recommendation and Emotional Analysis SMART Platform for Athletic Music Recommendation and Emotional Analysis The strong influence of positive emotional state on an athletes training and workout performance is well-known. Perhaps one of the most interesting potential factors affecting this emotional state is the music an athlete listens to during these sessions of activity. This leads to two challenges in research: what effects does the right workout music have on an athletes well-being, and what model is required to generate this music for an athlete? In partnership with Adidas, the Center for Cognitive Ubiquitous Computing (CUbiC) proposes the development of a playlist recommendation model capable of creating customized workout playlists to enhance the emotional state and workout performance of athletes. Using emotional, behavioral and physical performance data of athletes, our proposed model can create a musical profile for each individual from which a recommended playlist of songs can be generated. This model will build on existing work in the field and will then be evaluated on its ability to positively impact athletic behavior. To validate this, we propose a behavioral analysis model capable of quantifying the influence music choice has on athlete emotion and behavior. Using these models, we hope to achieve a significant impact on the well-being of athletes worldwide through music.
StatusFinished
Effective start/end date8/1/187/31/19

Funding

  • INDUSTRY: Domestic Company: $71,639.00

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