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Virtual Instrument Device: Data Logging and Gesture Recognition System Update

This update highlights the progress made in the development of a virtual instrument device, including data logging and gesture recognition capabilities. The system successfully reads and sends data from accelerometers, controls sound pitch based on accelerometer input, and has been tested for portability. Plans for testing, tear down, user gestures, multiple users, reliability, and test data are discussed. Future tasks include indoor portability testing, code finalization, gesture recognition training, and testing multiple devices simultaneously.

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Virtual Instrument Device: Data Logging and Gesture Recognition System Update

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Presentation Transcript

  1. Charles Cole Mark Cerritelli Matthew Fister Mine Yalcinalp

  2. Status Update • Concept: A device that acts as a virtual instrument • Update: • Data logging, 6 accelerometer channels from one T-Mote (Emily) being read and sent to receiver (Momma Priya) • Fully functional system working with input from both accelerometers. • Data from one accelerometer controls when a sound plays and the other controls the pitch of the sound. • Successfully tested portability (range) of Emily in outdoor setting • Constructed new Air Combo sender (Simon) • Putting finishing touches on a gesture recognition system using k-Nearest Neighbor algorithm.

  3. Testing Plans A+ • Bootstrapping • When PC receives message from new sender, and adds it will indicate this. • Tear Down • PC realizes it hasn't received a message in a while, alerts the user to this. • User Gestures • PC recognizes that the sender has gestured; plays associated sound • User Does Not Gesture • PC sees data from the sender not correlated to a gesture; no sound is played • Multiple Users • PC handles above use cases for more than one sender • Reliability – Data Loss • PC misses a message from sender; does not play a sound as if user gestured, missed messages are logged and reported on the PC.

  4. Test Data • Observed percentage of messages received with sender (Emily) varying distances from receiver (Momma Priya). Standard: 28 byte packets • Results: Somewhat as expected, reception decreased as distance increased. But large sources of error did exist.

  5. Looking Forward • Perform an indoor test for portability. • Finalize code for testing other • Finish gesture recognition training. • Test multiple Air Combo’s simultaneously

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