S.N.A.K.E. : a dynamically reconfigurable Artificial Sensate Skin

The idea of an Artificial Sensate Skin device that mimics the characteristics and functions of its analogous living tissue whether human or animal is not new. Yet, most of the current related work has been focused in the development of either materials, flexible electronics or ultra-dense sensing matrices and Wide Area Sensor Networks. The current work describes the design and implementation of a new type of Artificial Sensate Skin. This Artificial Sensate Skin is implemented as a low-power, highly scalable and mechanically flexible Wired Sensor Network. This Skin is composed of one or many Skin Patches which in turn are composed of one or many Skin Nodes. Each node is able to measure Strain, Pressure, Ambient Light, Pressure, Sound and Mechanoreception. Each Skin Patch can either work as a stand-alone device or as a data extraction device if this is attached to a Personal Computer through a different type of device referred to as Brains. Each Skin Node and therefore each Skin Patch :is Dynamically Adaptable meaning that they can adapt to external stimuli by either modifying their behavior or by completely changing their code.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2006

Author dc:creator

• Barroeta Pérez, Gerardo

Advisor dc:contributor.advisor

• Joseph A. Paradiso.

• Architecture. Program In Media Arts and Sciences

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/37403

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/37403