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7th IEEE International Symposium on Wearable Computers

October 21-23, 2003

Crowne Plaza Hotel, White Plains, NY 10601

Sponsored by the IEEE Computer Society




Carnegie Mellon will demonstrate the following wearable computer systems:

SenSay is a context-aware mobile phone that adapts to dynamically changing environmental and physiological states. In addition to manipulating ringer volume, vibration, and phone alerts, SenSay can provide remote callers with the ability to communicate the urgency of their calls, make call suggestions to users when they are idle, and provide the caller with feedback on the current status of the SenSay user. A number of sensors including accelerometers, light, and microphones are mounted at various points on the body to provide data about the user's context. A decision module uses a set of rules to analyze the sensor data and manage a state machine composed of uninterruptible, idle, active and normal states. Results from our threshold analyses show a clear delineation can be made among several user states by examining sensor data trends. SenSay augments its contextual knowledge by tapping into applications such as electronic calendars, address books, and task lists.

ARIUS (Adaptable, Reflective Information User System) is a wearable system which can determine typical user context and context transition probabilities online and without external supervision. The system relies on techniques from machine learning, statistical analysis and graph algorithms. It can be used for online classification and prediction. Our prototype demonstrates the power of our method to determine a meaningful user context model while only requiring data from a comfortable physiological sensor device. The demonstration presents our approach towards user state identification. The presenter will wear our research hardware which is wirelessly connected to the presentation laptop. The screen will show a map with several colored regions. Each region corresponds to a certain user state. The screen also shows acquired signal data from the sensors. While the shown map is a result of previous training, it will also modify as new patterns emerge. During normal usage, the map is dynamically learned by observing the user, not requiring any attention. While the presenter recalls the trained states, a white circle will move on the map, classifying the presenter?s state by entering the corresponding region.

ETH Zurich and Georgia Tech

The Wearable Computing Lab at ETH Zurich, Switzerland and the Contextual Computing Group at the Georgia Institute of Technology will present their current research projects and prototypes.

The ETH will show some new textile innovations, such as a textile microstrip patch antenna. This prototype shows broad bandwidth compatible to the Bluetooth specifications, though entirely fabricated of textiles.

Another highlight will be the brand new ETH wearable computer, innovative through it's size and wearable design, and being up to date with the latest developments in mobile computing.

Georgia Tech will present their work on a prototype one-way translation system for American Sign Language recognition, running on wearable hardware.

Another prototype system uses simple on-body sensors to recognize the users behavior in a workshop. Audio data from microphones as well as movement data from accelerometers are modeled using linear discriminate analysis and hidden markov models to identify the users current actions.

There will also be material and demos in the field of distributed sensor networks for context recognition.


Motorola iDEN will exhibit its wearables concepts at ISWC'03. Motorola iDEN publicly announced several wearable devices at CTIA this year. Included in the announcement were concept models of the devices. These concepts were developed in collaboration with the MIT Media Lab and Frog Design. They represent a focus on devices and services that are unobtrusive and fashionable while at the same time being very effective in integrating the technology into people's lives and their task flow.

These devices are built around a distributed personal system architecture and collaborate with each other via short range communications of a Person Area Network (e.g. Bluetooth) and/or a Body Area Network (802.15.4, UWB, etc). The collaboration is coordinated by a central controller which manages the PAN/BAN and the various user interfaces in the system. We refer to this central device as the 'Wearable Digital Assistant' (WDA). This architecture represents one of the potential paths of evolution for today's cell phone.

The devices include a WDA that wraps around the wrist, a miniature digital camera that can be clipped to your clothing, a set of glasses that provides an integrated display and a camera, and a wireless earbud and microphone.

While these are currently only concept models, they form the basis of a direction Motorola iDEN is pursuing for realization in the 2005 time frame.



The Tiqit handheld personal computer provides full notebook PC functionality in a PDA-class device. The Tiqit is designed for mobile professionals who require ubiquitous, fully functional, enterprise level applications and rich information wherever they work -- on the trading floor, on the road, down the hall, in the warehouse, or in the field. Tiqit runs any enterprise standard operating system -- Windows (XP, 2000, NT, 98), Linux, or UNIX. Applications formerly available only on desktop and notebook PC's can now also be deployed on the Tiqit handheld PC. With a 4" color screen, 56-key QWERTY keyboard, x86 compatibility, and standards-based extensibility to support any wireless communication option (WiFi, CDMA, Bluetooth, Infrared, etc.), the Tiqit becomes an indispensable, truly mobile, business productivity tool.


VivoMetrics, Inc. provides continuous ambulatory monitoring products and services for the collection, analysis, and reporting of physiologic data. The LifeShirt System, is an easy to use non-invasive system consisting of a comfortable garment with an array of embedded sensors, a handheld recorder with data collection software, and a sophisticated software package (VivoLogic) for comprehensive offline signal analysis, display, and report generation. Using the LifeShirt System, clinicians can obtain a more comprehensive view of their patients health than ever before possible.

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