Forró Trainer: Automated Feedback for Partner Dance Learning

Publication Type:
Conference Proceeding
Citation:
UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, 2017, pp. 103 - 104
Issue Date:
2017-07-09
Filename Description Size
p103-santos.pdfPublished version1.09 MB
Adobe PDF
Full metadata record
© 2017 ACM. In partner dance classes, teachers typically manage several students at the same time. For that reason, the amount of feedback provided in class is quite limited and students do not have many resources to get other feedback. In this demo paper, we present Forró Trainer, a tool that allows students to practice dance exercises by themselves, receiving automatically generated feedback about their performance. The system runs on a smartphone app and focuses on a fundamental aspect of dancing: learning to follow the rhythm of the music. The app detects the student's movements, using the mobile's accelerometer, extracts aspects of the rhythm and provides feedback. We present a description of the tool, the mistakes it detects, the automated feedback and the benefits that it may provide for dance students.
Please use this identifier to cite or link to this item: