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IMPAD: an inexpensive multi-touchpressure acquisition device
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Interactivity: on the table table of contents
Pages 3217-3222  
Year of Publication: 2009
ISBN:978-1-60558-247-4
Authors
Ilya D. Rosenberg  New York University, New York, NY, USA
Alexander Grau  New York University, New York, NY, USA
Charles Hendee  New York University, New York, NY, USA
Nadim Awad  New York University, New York, NY, USA
Ken Perlin  New York University, New York, NY, USA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Recently, there has been great interest in multi-touch interfaces. These have taken the form of optical systems such as Microsoft Surface and Perceptive Pixel's FTIR display as well as hand-held devices using capacitive sensors such as the Apple iPhone. However, optical systems are inherently bulky while capacitive systems are only practical in small form factors and are limited in their application because they only respond to human touch.

We have created a technology that enables the creation of Inexpensive Multi-Touch Pressure Acquisition Devices (IMPAD) which are paper-thin, flexible and can easily scale down to fit on a portable device or scale up to cover an entire table. These devices can sense varying levels of pressure at a resolution high enough to sense and distinguish multiple fingertips, the tip of a pen or pencil and other objects.

Other potential applications include writing pads, floor mats and entry indicators, bio-pressure sensors, musical instruments, baby monitoring, drafting tables, reconfigurable control panels, inventory tracking, portable electronic devices, hospital beds, construction materials, wheelchairs, sports equipment, sports clothing and tire pressure sensing.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Apple iPhone. http://www.apple.com/iphone
2
3
 
4
JazzMutant Lemur. http://www.jazzmutant.com
 
5
Microsoft Surface. http://www.surface.com
 
6
Tekscan. http://www.tekscan.com
 
7
Wayne Westerman. Hand Tracking, Finger Identification and Chordic Manipulation on a Multi-Touch Surface. PhD thesis, University of Delaware. (1999)

Collaborative Colleagues:
Ilya D. Rosenberg: colleagues
Alexander Grau: colleagues
Charles Hendee: colleagues
Nadim Awad: colleagues
Ken Perlin: colleagues