Characterizing fire arts performances with smart practice props
Project created by: Amy Phung & Kyle Bertram
For fire arts performers, understanding the diversity of content within their performances is crucial for a successful performance. After calibrating the props and recording a performance, our practice props provide immediate feedback to the performer on the composition and content of their performance, allowing them to improve their performances.
Performers record the different tricks they will use during their performance
Performers use our smart practice props to record data from their performance routine
Our smart practice props will provide an in-depth analysis of their performance
For more technical information and results of our analysis, see the page dedicated to this page here
At the conclusion of this project, we were able to correctly identify tricks in isolation given a calibration dataset. This project was a proof-of-concept that having data-collecting practice props could yield useful results, and based on our successes we thought of some other interesting uses of this data. Some of the other possible extensions to this product could include: