ISWC 2008 Workshops and Tutorials:
-Workshop on the Role of Design in Wearable Computing
This workshop will provide a forum to discuss the role of design in wearable computing. Wearable computing spans a broad range of interests and expertise, not all of which can be adequately represented by a technical paper in an IEEE Computer Society proceedings. As wearable computing becomes more mainstream and if it is to continue becoming more mainstream, it is important for ISWC to provide appropriate venues for presenting the latest advances in textile, fashion, and industrial design. The objective of this workshop is to come up with a set of recommendations on what the appropriate venues should be and to discuss what the important design issues are for wearable computing.
Submission Deadline: August 15
Dr. Thomas L. Martin is an associate professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His areas of research include wearable computing, low-power systems, electronic textiles, and pervasive computing. He received his BS in electrical engineering with a minor in VLSI Systems Engineering from the University of Cincinnati in 1992 and his PhD in electrical and computer engineering from Carnegie Mellon University in 1999. In 2006 he received the Presidential Early Career Award for Scientists and Engineers for his work on electronic textiles and wearable computing.
The IFAWC will be held in conjunction with ISWC this year. IFAWC focuses on applied research in wearable computers.
Submission Deadline: July 1
Wearability, or the relationship between a worn technology and the ability or desire of the
user to wear it, is a key element in the successful design of wearable technologies. Wearability
addresses the physical, cognitive, and emotional state of the user, and the impact of the wearable
technology on the user's homeostasis in each area.
Wireless sensor networks (WSNs) offer immense potential for performing detailed multi-parameter measurements in a variety of applications. When coupled with actuation, this technology could become even more powerful.
Application led designs rarely need the amount of complexity available at a theoretical level. Instead, concerns for robustness, data integrity, ease of use, long-life, reliability, and maintainability take over as primary design concerns. Practical deployment design processes can be considerably sped up by starting with simpler systems that are more focused on smaller sets of target applications. The design concerns specific to that application set will naturally lead the design process in terms of selecting what off-the-shelf hardware and software can be used, and what bespoke components need to be developed to satisfy the application as a whole.
This tutorial will support the exposition of design techniques and design choices by focusing on an example from within the area of Embedded Body Sensor Networks. The application is that of remote health monitoring of human subjects during safety-critical missions. The embedded body sensor network is neither large nor widely distributed but there are a number of fundamental requirements (such as, the size of the nodes, wearability of the instrumentation, robustness, reliability and fault-tolerance, etc) that dictate the majority of the design and implementation choices.
The tutorial will be of interest to a wide range of conference participants: designers and developers of real-life sensor networks applications for the Body Sensing domain; developers of integrated miniature, embedded technology for smart textiles; evaluators of wearable technologies; end-users of body-related embedded technology (clinicians, physiotherapists, bio-mechanics engineers, etc)
In 1998 she joined Coventry University, in order to pursue her PhD, researching the integration of Artificial Intelligence (in particular Neural Networks) and MEMS sensors to produce enhanced performance Microsystems. By the time her PhD was awarded in 2000, she was serving as a Senior Lecturer in Computer Science. With the establishment of the Cogent Computing Applied Research Centre in 2006, Elena was appointed as the inaugural director.
Over the course of her career, Elena has accrued a sturdy academic reputation. She has over 100 refereed publications, and is a frequent organiser of symposia at Nanotech (NSTI), the world’s largest nanotechnology conference. She is a member of many nationwide Microsystems advisory bodies and, since 2002, a member of the EPSRC College of Peers. She has recently become the Co-Chair of the UK Wireless Intelligent Sensing Interest Group (WiSIG).
Dr. James Brusey received his BApSc with distinction in Computer Science from the Royal Melbourne Institute of Technology (now RMIT University), Melbourne, Australia, in 1996. In 2002, the same institution awarded him his PhD in Artificial Intelligence for a thesis entitled “Learning Behaviours For Robot Soccer”, which also won the Australian Computer Science Association’s award for Best Computer Science PhD Thesis for Australia and New Zealand in 2004. He has augmented his research reputation with wide ranging professional experience in both industry and academia. His early experiences in the Swinburne Institute of Technology twined both threads together: as a systems programmer he maintained the in-house software and mainframe, whilst also lecturing on x86 Assembly Language.
In contrast to infrastructure supported location systems, relative positioning technology identifies the relative position of objects to each other solely based on local sensors and processing only. This tutorial provides background and hands-on experience over sensor technologies and modalities, measurement principles, systems, distributed algorithms and applications for relative positioning technologies. It will also give hands on insight to relative positioning using the RELATE relative positioning sensor network platform as an example. The tutorial will also discuss other practical issues as price, constraints for integration and use of relative positioning technology. The tutorial will be suitable also for people not familiar with positioning systems, algorithms and hardware.
Michael Beigl: TU Braunschweig