Exhibitors
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.
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.
![[iswc logo]](wearman-small.gif)
