Thus, the goal of the presented study was to explore how movement captured by smartphone accelerometer data can be re- lated to musical properties. Participants ...
[PDF] Smartphone-Assessed Movement Predicts Music Properties ...
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Smartphone-Assessed Movement Predicts Music Properties. Towards Integrating Embodied Music Cognition into Music Recommender Services via Accelerometer. Motion ...
Smartphone-Assessed Movement Predicts Music Properties: Towards Integrating Embodied Music Cognition into Music Recommender Services via Accelerometer. In ...
Motion features related to tempo, smoothness, size, and regularity were extracted from accelerometer data to predict the musical qualities “rhythmicity”, “pitch ...
sic cognition. Thus, the goal of the presented study was to explore how movement captured by smartphone accelerometer data can be related to musical properties.
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Melanie Irrgang, Jochen Steffens , Hauke Egermann: Smartphone-Assessed Movement Predicts Music Properties: Towards Integrating Embodied Music Cognition into ...
In this section I explained the workflow that is applied to predict GEMS to different degrees based on smartphone-assessed motion data. The next chapter ...
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Melanie Irrgang, Jochen Steffens , Hauke Egermann: Smartphone-Assessed Movement Predicts Music Properties: Towards Integrating Embodied Music Cognition into ...
The proceedings of the MOCO symposium are published on the ACM Digital library under the International Conference Proceedings Series.
Smartphone-Assessed Movement Predicts Music Properties: Towards Integrating Embodied Music Cognition into Music Recommender Services via Accelerometer Motion ...