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  1. 1. SKINPUT Appropriating the Body as an Input surface PRESENTED BY: M.DHANASRI SSIT
  2. 2. Overview: what is Skinput • Skinput is a collaboration between Chris Harrison of Carnegie Mellon University and Dan Morris at Microsoft’s research lab in Redmond in Washington. • Due to the advantages of Touch Screen Gadgets , they have become very popular . • Skinput is also an Touch Screen one which was using body as an interface
  3. 3. Touch-Screen
  4. 4. Skinput
  5. 5. What Skinput does  Skinput allows users to simply tap their skin in order to control audio devices, play games, making of calls, and navigate different types of browsing systems hierarchically.  It applies on the skin on the series of sensors , where they can be activated on the arm at different places.  Each part of the body can be created by the different types of variations on the depending on the bones, muscles and tendons.
  6. 6. Skinput works by: Bio-Acoustics Bluetooth Pico-Projector
  7. 7. Pico-Projector:  A very Small Projector basically used in Gadgets. Ex: Spice Popcorn(mobile cum Projector)
  8. 8. Bio-Acoustics:  When finger taps on he skin , it leads to formation of two different types of waves called as Longitudinal waves Transverse waves  These waves makes to activate whole concept of Skinput.
  9. 9. Bio-Acoustics Works: Transverse wave Propagation Longitudinal Wave Propagation
  10. 10. Bio-Acoustics Sensing: These signals can be sensed and worked upon by wearing Wave Sensor Arm Bands.
  11. 11. Arm Band:  The decision to have the two sensor packages was focused by our motivation on the arm.  We employ a Mackie Onyx 1200F audio interface to digitally capture data from the ten sensors.  Each channel was sampled at 5.5kHz a sampling rate.
  12. 12. Processing model:  This program performed three key functions.  First, it provided a live visualization of the data from our ten sensors  Second, it segmented inputs from the data stream into independent instances(taps) .  Third, it classified these input instances.
  13. 13. Experimental Conditions: • For the Experiment, we selected three input groupings from the multitude of possible location combinations to test. • We believe that these groupings, are of particular interest with respect to interface design, and at the same time, push the limits of our sensing capability.
  14. 14. Supplemental Experiments:  Walking and Jogging  Single-Handed Gestures  Surface and Object Recognition  Identification of Finger Tap Type  Segmenting Finger Input
  15. 15. Accuracy: Accuracy of the three whole-arm-centric conditions. Accuracy was significantly lower for participants with BMIs above the 50th percentile
  16. 16. Applications: • Mobiles. • Gaming applications. • Audio players. • Browsers.
  17. 17. Conclusion: Skinput is an appropriating the human body as an input surface which was a novel, wearable bio-acoustic sensing array that we built into an armband in order to detect and localize finger taps on the forearm and hand , it even performs well when the body is in motion also
  18. 18. THANK YOU