3. Rationale and Motivations
• Growth/ Proliferation of Mobile/Embedded
Devices
• Increasing Computational Capacity
• Increasing Data Generation – as a
continuous stream
• Communication Overhead vs Processing
Overhead vs Energy Consumption
• Opportunity:
– A new breed of intelligent mobile/pervasive
applications
I2R Confidential
4. Data Stream Mining in
Mobile/Pervasive Environments
• Cost-efficient, Intelligent and Real-time
Data Stream Mining techniques that can:
– adapt to the context of diverse applications
– cope with and leverage distributed
computational platforms
– take into account available resources
I2R Confidential
5. OPEN MOBILE MINER
A Toolkit for Building Mobile Data Mining
Applications
I2R Confidential
7. OMM Features
• Easy deployment of mobile data mining applications on
a range of mobile devices
• F ilit ti integration of new and existing data stream
Facilitation i t ti f d i ti d t t
mining algorithms
• Interface with a range of input sources for data streams
• Allow flexible, application specific visualizations to be
developed.
de eloped
I2R Confidential
17. MARS - Mobile Activity Recognition
System
Enabling a Healthy Lifestyle – Innovation needs no wearable sensors – purely based on Phone sensors –
and carrying the phone while walking etc. Personalised, Train for every User.
I2R Confidential
19. System Overview
Technology:
• SOA based Mobile-healthcare services
• Real-time & Asynchronous data collection
Real time
• Links to Personal Health Records (PHR)
I2R Confidential
22. Future Directions
• Novel and innovative healthcare applications
leveraging real-time, continuous and mobile analytics
l i l i i d bil l i
I2R Confidential
