SkinputHuman Arm Touch

Screen

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IntroductionSkinput 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.

PERSONS BEHIND THIS PROJECT

Chris Harrison (Carnegie Mellon University

Dan MorrisDeseny tan

Difference Between Touch screen And Skinput

Technology UsedSkinput, 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

Pico projectorIt 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

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

Transverse wavesSensors 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.

Longitudinal WavesSome 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.

Bio-Acoustics: Sensing Bio –acoustic sensor, its employed with

small, cantilevered piezo films This is done by wearing the wave sensor

arm band.

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.

Experimental viewsFingers (Five Locations)

Whole Arm (Five Locations)

Forearm (Ten Locations)

Advantages

DisadvantagesCurrently 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 bulkythe visibility of the projection of the

buttons on the skin can be reduced if the user has a tattoo located on their arm

Future Implications

conclusion

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

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