1. Skinput
Human Arm Touch Screen
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2. Introduction
 Skinput is named because it uses the
human skin as an input devices or tracking
surface.
 Skinput allows the user to simply tap their
skin in order to control audio devices, play
games, make phone calls.
 It uses the sensors to determine where the
user taps on their skin.

3. PERSONS BEHIND THIS PROJECT
Chris Harrison
(Carnegie Mellon
University Dan Morris
Deseny
tan

4. Difference Between Touch screen
And Skinput

5. Technology Used
 Skinput, the system is a combination of two
technologies: the ability to detect the ultra low
frequency sound and the ‘pico’ projectors.
1.Pico projector
2. acoustic detector

7. Pico projector
 It is also known as pocket projector or mobile
projector.
 The system comprises three main parts:
 The Laser light source
 The Combiner optics
 The Scanning mirror

8. Bio-Acoustics
 Study of sound waves inside living body.
 These are the sensors which can sense the sound
waves produced when we tap on a skin
 When a finger taps the skin, several distinct forms of
acoustic energy are produce
 Longitudinal Waves
 Transverse Waves

9. Transverse waves
 Sensors are activated by the waves moving
underneath it.
 Transverse waves formed moves outward form
the point of contact
 Transverse waves formed at soft part of the skin
is of higher amplitude than the bony part of skin.

11. Longitudinal Waves
 Some energy is transmitted inward, toward the
skeleton.
 These are longitudinal waves; excites the bone.
 This excitation vibrates soft tissues surrounding
the entire length of the bone, resulting in new
longitudinal waves that propagate outward to the
skin.
 The sensor is activated as these waves hits
underneath it.

13. Bio-Acoustics: Sensing
 Bio –acoustic sensor, its employed with small,
cantilevered piezo films
 This is done by wearing the wave sensor arm
band.

16. Analysis
 The audio stream is segmented into individual
taps using an absolute exponential average of all
ten channels
 This program provides a live visualization of the
data from the ten sensors.
 Its segments inputs from the data stream into
independent instances.
 Classifies these input instances.

18. Experimental views
 Fingers (Five Locations)
 Whole Arm (Five Locations)
 Forearm (Ten Locations)

20. Advantages

21. Disadvantages
 Currently there are only five buttons. A phone
uses at least 10 buttons to dial a phone
number of send a text message
 If the user has more than a 30% Body Mass
Index Skinput is reduced to 80% accuracy
 The arm band is currently bulky
 the visibility of the projection of the buttons on
the skin can be reduced if the user has a
tattoo located on their arm

22. Future Implications

24. conclusion
 This approach is to appropriate the human body
as an input interface.

25. THANKYOU