Transcript Mobile Access to Smart Home Devices

EuroSSC 2009 One Minute Madness
Poster & Demos
Ontology based approach for
data management
Ilkka Niskanen
Ontology based approach for home data management
• Sensors in smart homes
• Provide various measurements from the surrounding environment
• How to integrate the heterogeneous sensor data?
• Ontologies
• Provide efficient and machine readable way of representing and sharing knowledge
• Enable automated context reasoning
• VantagePoint - the ontology based home management approach
• Visualizes semantic context information
• Integrates heterogeneous sensor data into
contextual models
• Experiments with sensor data
• SimuContext virtual sensors emulate the behavior of life context sources
• Carerider bed sensors collect versatile context data concerning the sleep of a
person
• This data can be utilized when creating informative diagrams
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EuroSSC 2009 One Minute Madness
Poster & Demos
Home ReACT – a tool for realtime indoor environmental
monitoring
Tessa Daniel
HomeReACT – the Realtime Indoor
Environmental Monitoring Tool
Detect and track events
Monitor faults
Monitor comfort
Analyse data
Tessa Daniel : Cogent Computing Applied Research Centre, Coventry University
EuroSSC 2009 One Minute Madness
Poster & Demos
Towards semantic enablement
for spatial data infrastructure
Krzysztof Janowicz
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EuroSSC 2009 One Minute Madness
Poster & Demos
Semantic Rules for
Context-Aware Geographical
Information Retrieval
Krzysztof Janowicz
EuroSSC 2009 One Minute Madness
Poster & Demos
Mobile Access to
Smart Home Devices
Safiyya Rusli
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EuroSSC 2009 One Minute Madness
Poster & Demos
Energy-optimized sensor data
processing
Elena Chervakova
Energy-optimized Sensor Data Processing
 Recognition of contexts detecting correlations and attributes in the measured data
 Evaluating known correlations for the creation of “virtual sensors”
 Query processing within sensor network or at a central instance
 ConSAS - Configurable Sensor and
Actuator System
 AnduIN: Data Stream Management
System and In-Network Query Processor
[email protected]
EuroSSC 2009
www.imms.de
© by IMMS gGmbH, 2009
16 Sept 2009
EuroSSC 2009 One Minute Madness
Poster & Demos
Tai Chi motion recognition
using wearable sensors and
Hidden Markov Model method
Lars Widmer
Tai Chi Motion Recognition Using Wearable Sensors
and Hidden Markov Model Method
Generated feature data:
1. Angles between Limbs
2. Limb-to-Limb orientation
3. Limb Positions
Quantization
HMMs
Majority Vote
For 5 Tai Chi sub-movements, data was recorded and classification methods
compared, indicating the superiority of using clustered limb positions as feature input.
EuroSSC 2009 One Minute Madness
Poster & Demos
Time-lag as limiting factor for
indoor walking navigation
Markus Straub
EuroSSC 2009 One Minute Madness
Poster & Demos
River Water-level Estimation
Using Visual Sensing
Edel O‘Connor
River Water-level Estimation Using
Visual Sensing
E O’Connor, C O’Conaire, A. F. Smeaton, N. E. O’Connor, D. Diamond
Water management is an important part of
monitoring the natural environment and
includes monitoring the water quality of
coastal and inland marine environments.
Visual sensing can help to overcome some
of the problems associated with in-situ
wireless sensor networks and provide
context to what is being sensed.
The development of a smart multi-modal
sensor network will lead to a more robust
and effective environmental sensing
system.
Image Data
Examples of the challenging image data we
are using, demonstrating disparate
appearance due to varying rover conditions.
We report on our initial work on using
visual sensing to monitor a river
environment.
UNIVERSITY COLLEGE DUBLIN  DUBLIN CITY UNIVERSITY  TYNDALL NATIONAL INSTITUTE
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EuroSSC 2009 One Minute Madness
Poster & Demos
Speed-dependent information
retrieving for efficient
navigation in large-scale
sensor networks
Kazumasa Ogawa
Speed-dependent Information Retrieving for Efficient Navigation in Large Scale Sensor Network
Kazumasa Ogawa and Hiroki Saito
Department of Information Systems and Multimedia Design, Tokyo Denki University, Japan
• Urban sensing systems enable us to obtain huge amount of environmental information.
However, for using this system in navigation, vast information floods users’ understandability.
• We focus on users’ mobility:
• How to obtain suitable surrounding information based on users’ mobility.
• How to query for appropriate range of area and how to obtain detailed suitable information.
• We propose Speed-dependent information retrieving schema for mobile user navigation.
• Our technical contribution is: Scaling search model, Priority-k method, and Map scale adjusting.
Please come to our poster for further content on our investigation.
Flooded Navigation Screen
Managed by Mobility
We focus users’ mobility. Our concept:
Speed-dependent information retrieving
Use
r
revi
ew
Map scale adjusting by speed
Constant amount of information
Use
r
revi
ew
Use
r
revi
ew
Use
r
revi
ew
Scaling Search Model
r  speed・ C1
Navigation System
for Mobile User
Slow
θ
θ
Vast Environmental Information
C2
speed
Traffic, Weather, Accident, Event, …
What is necessary
information for you?
How do you get?
Urban-scale
Sensor Network
Fast
θ
Direction
EuroSSC 2009 One Minute Madness
Poster & Demos
Service and Content
Presentation in
Ubiquitous Environments
Suparna De
Service/ Content Presentation in Ubiquitous
Environments
Suparna De, Abdelhak Attou, Klaus Moessner
www.mobilevce.com
© 2009 Mobile VCE
EuroSSC 2009 One Minute Madness
Poster & Demos
Mobile Context Toolbox
Jakob Eg Larsen
Mobile Context Toolbox
an extensible context framework for S60 mobile phones
Jakob Eg Larsen and Kristian Jensen
Technical University of Denmark
{jel|krije}@imm.dtu.dk
EuroSSC 2009 One Minute Madness
Poster & Demos
That‘s it!
Enjoy the Poster & Demo session!