Transcript ppt - ACM

WIRELESS SENSOR NETWORKS, WEARABLE COMPUTING AND
THE COMING ERA OF UBIQUITOUS EMBEDDED INTELLIGENCE
Ubiquitous Computing Infrastructure
Objective
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To facilitate novel means of human-computer
interaction by leveraging the impending paradigm shift
in embedded systems technology
To introduce innovative conduits for entertainment
technologies
To exploit opportunities in the realm of synergistic
interactions between industrial-strength programming
technology and full-custom design methodologies
To demonstrate the advantages of just-in-time design
methodologies
Sensor Node
Java Virtual Machine
Intel SA-110
User
TOSBase Transceiver
Crossbow Mica-2
SA-1110 Board
Base Station
Research Results
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Implementation Specifications
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Intel StrongARM SA-1110 Microprocessor
Development Board
MPR400CB Crossbow Mica-2 Wireless Sensor Node
Analog Devices ADXL 2302 2-Axis Accelerometer
Custom Linux 2.6.16 Kernel
Custom Tetris Experience
Potential Applications
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Sample Unfiltered Accelerometer Plot
ACM – SIGEmbedded
http://www.acm.uiuc.edu/sigembedded/
Discovered novel means of interaction which foster
jocular response in 93% of subjects
Developed custom Linux, Java and TinyOS infrastructure
to support ubiquitious computing applications
Breakthroughs in novelty and innovation for previously
stagnant entertainment application domains
Enhanced wearable computing system interoperability for
distracted and disabled operators
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In early development, sensor readings are streamed
to the base station for real-time data analysis
For improved performance and power efficiency, filter
processing is pushed down to embedded devices
Results in power savings of over 32x
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Cranially-activated vehicular systems controls
Enriched input modalities for disabled users
Highly-integrated wireless personal area networks
Engendering alternate perceptions of reality with
minimal psychophysical impact
Broad spectrum human-computer feedback control
Environmental stimulus data mining
Novel handicap realization in experimental game
theory frameworks