Learn More
A system is presented for detecting common gestures, musical intentions and emotions of pianists in real-time using kinesthetic data retrieved by wireless motion sensors. The algorithm can detect six performer intended emotions such as cheerful, mournful, and vigorous, completely and solely based on low-sample-rate motion sensor data. The algorithm can be(More)
This research employs an agglomeration of knowledge from the fields of electrical engineering, digital signal processing, physics, computer music, music performance, music psychology, machine learning, and pattern recognition. The integration of this knowledge is applied to the technology of inertial measurement sensors in an attempt to detect musical(More)
  • 1