At present these device families, whether dedicated sports accessories or smartphones, measure location and specific activities under individual applications that inform users and service providers where the user is and what level of activity they are achieving. Connection to back-end services exploits this transient information to offer immediate actions pertinent to the current context, and usage data is increasingly stored and shared with other users, service providers and advertisers to enhance consumer experience.
As location and activity algorithms improve and the quantity of collected data increases, so data analysis, or mining, enables accurate activity recognition and behavioural modelling. This individual data can be “fused” with other users’ data and regional information, such as the weather, to enhance the user experience and increase the reliability of location, activity and behavioural models to the point where prediction accuracy becomes acceptable.
This exciting event is set to cover the current hot topics of location-based technologies and how devices are increasingly able to tell us where we will be, as well as where we are. Led by experts in the field, confirmed speakers for this event include
- Dr. Rob Harle, Lecturer, Computer Lab – University of Cambridge
- Simon Reed, Head of Technical Services Group, Transport for London (TFL)
- Olaf Baars, Deputy Chief Fire Officer/Director of Service Delivery, Royal Berkshire Fire and Rescue Service
- Mirco Musolesi, Senior Lecturer, School of Computer Science - University of Birmingham
As part of the agenda, we shall be running a Fast Pitch session for location-based technology organisations to take to the stage and perform a 3 minute pitch. If you are interested in taking part in the Fast Pitch session, please contact Sharni at email@example.com (No consultancies, thank you)