This exclusive, must-attend event of autumn 2013 brings discussions and debate from key industry insiders on the future of location-based systems. With limited FREE tickets, there will also be ample networking opportunities throughout the event, which is taking place at the esteemed British Library. This half -day conference - sponsored by CSR - investigates the state-of-the-art, in pedestrian and vehicular tracking, data fusion and data mining, to review whether the accumulation and fusion of increasingly accurate data over time will open the door to future activity and location prediction. The question we then wish to ask is – “Is predictive positioning beneficial?” Confirmed speakers for this event are Simon Reed of Transport for London, Rob Harle of Computer Lab, University of Cambridge, Olaf Baars of the Royal Berkshire Fire and Rescue Service and Mirco Musolesi of the School of Computer Science, University of Birmingham.
17:00 23rd October 2013Venue
The British Library, 96 Euston Rd, London, Greater London NW1 2DBStart date/time
12:00 23rd October 2013
This SIG is championed by David Bartlett of Omnisense, Nigel Wall of Climate Associates, Andrew Matthews of Nokia Research Center and Nicolas Graube of CSR. We are grateful for CSR plc for kindly sponsoring event. To follow the Location SIG on Twitter, @CambWireless, please use #CWLBSS
Mobile consumer electronics, such as mobiles phones, sports watches and tablets can tell not only where you are and what you are doing, but increasingly where you will be going.
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
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)
To follow this SIG on Twitter, @CambWireless, please use #CWLBSS