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The First International Workshop on Software and Information Processing
in Body Sensor Networks (SIP-BSN)
(http://www.essp.utdallas.edu/sip-bsn)
April 16th, 2009, San Francisco, USA,
in conjunction with IPSN and Cyber Physical Systems week (www.cpsweek.org)
**** Submission Deadline -- January 21, 2009 ****
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SCOPE
Body Sensor Networks (BSNs) have already shown potential to enable a
broad variety of applications in the assisted living and health care
domains, e.g. for rehabilitation, sports medicine, elderly care, gait
analysis, fitness. BSNs allow to measure human body parameters through
wearable sensors and often include signal processing techniques to
interpret and fuse the sensor data in real-time. The design of BSN
applications is challenging also due to the limited resources for
computation, communication and storage that are allowed by the tight
size and battery life requirements on the nodes. While in recent years
there have been significant efforts to build sensors and hardware
platforms, more research is needed to address the open challenges in the
design of software components that implement efficiently signal
processing algorithms across BSN nodes. In particular application
developers need design frameworks and methodologies based on proper
abstractions supporting interoperability and fast evaluation of
implementation tradeoffs. This workshop solicits high quality technical
contributions that address issues related to the design of the software
architecture and the distributed implementation of signal processing
techniques for sensor data interpretation and fusion.
The workshop aims to bridge the signal processing and the embedded
software community to address issues related to efficient implementation
of information processing in BSN.
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PAPERS
SIP-BSN 2009, the first workshop on Software and Information Processing
in Body Sensor Networks, solicits high quality technical contributions
that address issues related to the design of the software architecture
and the distributed implementation of signal processing techniques for
sensor data interpretation and fusion.
The topics of interests include (but are not limited to):
* Software frameworks and platforms for signal processing intensive
applications
* Virtual sensors and actuators
* Sensor data interpretation and fusion
* Distributed signal processing implementations
* Performance analysis and optimization of classification systems
* Energy efficiency, optimization techniques and sensor calibration by
means of software control
* Reconfigurable software
* Trustworthy and reliable software
* Adaptive middleware
* Programming models and languages
* Methodologies and design tools for SW and signal processing
* Case studies of signal processing intensive applications (e.g. health
care, sport and fitness, assisted living)
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PAPER SUBMISSION GUIDELINES
The length of submitted articles is a maximum of 6 pages including all
references, figures and tables. Papers should use the standard ACM
template, available at:
http://www.acm.org/sigs/publications/proceedings-templates. The criteria
of selection for papers will be based on technical content (novelty,
innovation and originality), correctness and relevance to the workshop.
Further details on submission will be announced on the workshop web-site
(http://www.essp.utdallas.edu/sip-bsn)
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IMPORTANT DATES
Paper submission: January 21, 2009
Notification of acceptance: February 20, 2009
Camera ready version due: March 6, 2009
Workshop date: April 16, 2009
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CONFERENCE VENUE
SIP-BSN will be held in the Parc 55 Hotel in San Francisco, CA, USA on
April 16, 2009.
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TECHNICAL PROGRAMME COMMITTEE
Sinem Coleri Ergen, WSN Lab sponsored by Pirelli and Telecom Italia
Giancarlo Fortino, Universita' of Calabria
Roberta Giannantonio, Telecom Italia
Stamatis Karnouskos, SAP
Wolfgang Kellerer, Docomo Euro-Labs
Luciano Lavagno, Cadence Design Systems
Pedro Marron, University of Bonn
Giacomo Morabito, University of Catania
Aria Nosratinia, University of Texas at Dallas
Songhwai Oh, University of California, Merced
Trevor Pering, Intel
B. Prabhakaran, University of Texas at Dallas
Vijay Raghunathan, Purdue University
Kay Romer, ETH Zurich
Majid Sarrafzadeh, University of California, Los Angeles
Shankar Sastry, University of California, Berkeley
Mark Spong, University of Texas at Dallas
Mani Srivastava, University of California, Los Angeles
John Stankovic, University of Virginia
Matt Welsh, Harvard University
Adam Wolisz, Technische Universität Berlin
Lin Zhong, Rice University
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WORKSHOP ORGANIZERS
Roozbeh Jafari, University of Texas at Dallas
Marco Sgroi, Wireless Sensor Networks Lab sponsored by Pirelli and
Telecom Italia
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