About
Swing Beats is an augmented/virtual reality music visualization and mobile/IoT tactile feedback system for teaching/learning how to dance to music. To learn more about our project, keep reading.
The project is to identify the beat of live music using a cellphone app and translating that into tactile feedback on the phone, wearables, and small IoT devices which will enable the accurate movement initiation and footwork during dancing. The app also feeds AR and VR environments in order to produce visualizations of the music and eventually an avatar which can react to the music accurately and hence help teach dance moves to learners.
Left: David Kerr nad Brinda Pabari working on SwingBeats VR. Right: Brinda Pabari, Edmond Howser, and David Kerr with Hack for Humanity winner check!
SwingBeats presenting at 2019 Hack for Humanity (finalists).
Research Team
These are the students that are currently working on SwingBeats.
- Edmond Howser
- Mohammed Khadadeh
- Samuel Vivan
- Brinda Pabari
- Yu Yang Chee
- Jaykumar Sheth
- Hack for Humanity, 2019
- This project was the winner of the 2019 Hack for Humanity's creativity theme in Winter 2019 and received a $500 gift.
- This, along with another $2,500 donation, allowed for the purchase of the best AR equipment which will further SwingBeats research.