This document discusses emerging trends in mobile and real-time computational intelligence, including the proliferation of mobile devices, increasing data generation and computational capacity, and opportunities for new intelligent mobile applications. It introduces the Open Mobile Miner toolkit for building mobile data mining applications, which facilitates deployment on mobile devices and integration of data stream mining algorithms. Examples are presented on applications for real-time ECG analysis, activity recognition using phone sensors only, and remote health monitoring systems using a services-oriented architecture.
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
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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
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5. OPEN MOBILE MINER
A Toolkit for Building Mobile Data Mining
Applications
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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
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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.
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19. System Overview
Technology:
• SOA based Mobile-healthcare services
• Real-time & Asynchronous data collection
Real time
• Links to Personal Health Records (PHR)
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22. Future Directions
• Novel and innovative healthcare applications
leveraging real-time, continuous and mobile analytics
l i l i i d bil l i
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