1. Roth Fralick Aaron Kane Jason Zutty Georgia Institute of Technology April 16, 2009

2.  Provide an all-in-one dataglove solution ◦ Emulate an “air guitar”  Marketable to a wide range of consumers, from children to HCI researchers  Motivation is to make the dataglove more accessible for both learning and fun  Create the entire package for $500

4. ObjectiveImplementation Use induction-based sensors25 turns, 36 gauge magnet wire Convert to digital signalsATMega644’s On chip A/D Converter Send digital signals to computerEIA-232 Convert digital input to MIDI output Pure Data

5.  14 Sensors made from 36 gauge magnet wire using 25 turns  Coils positioned on the three phalange of each finger, or two of the thumb

8.  Freeware version of MAX/MSP  Used in music technology industry  Graphical programming language  Ideal for manipulating data  Strong MIDI support

11.  Total of $95 in parts per AirBand Glove System ◦ Based on 10,000 units ◦ Approximately $40 per board ◦ $15 per pair of gloves  Factoring in labor and overhead $425 total cost per unit  Sell at $500  Earn $750,000 profit

12. ProblemsSolutions High frequency signalsFull-wave rectification Signals below turn on voltagesAmplification Sensor cancellationsMoved sensor positions Poor MIDI support in MATLABPure Data EIA-485 PC compatibilityEIA-232 EIA-232 driver limitSwitched to master/slave configuration

13.  Finished ◦ Completed glove ◦ Gotten successful readings from sensors ◦ Observed clear thresholds

14.  Finished ◦ A/D Worked ◦ Implemented thresholds ◦ PCB laid out and ordered ◦ All parts ordered  Working on ◦ Soldering ◦ Finalizing PIC code ◦ Connecting to gloves ◦ Connecting boards together

15.  Finished ◦ Emulated hands ◦ Tested with virtual serial port ◦ Read hands and recognize notes ◦ Output sound  Working on ◦ Implementing the final control scheme ◦ Looking into possible modularity

16.  Present demo at Under the Couch  Verify glove has correct mappings  Demonstrate playability in real time

17.  Wireless Implementation  Battery Powered  Accelerometer to read hand orientation  Distance sensing

18.  Demo by April 30 th  Report by April 30 th