UrbanSense08 Workshop

November 6, 2008 by  

The third in a series of workshop on the theme of urban sensing, UrbanSense 08 took place in Raleigh, North Carolina in November 2008. The workshop explored ideas, prototypes and realised projects around participatory sensing. Karen Martin made a presentation of ‘Participatory Sensing for Urban Communities’ which described the Robotic Feral Public Authoring and Snout projects which Proboscis had created in collaboration with Birkbeck College, University of London.

Read the paper ‘Participatory Sensing for Urban Communities‘ (PDF 650Kb) by Demetrios Airantzis (Birkbeck College, University of London); Alice Angus (Proboscis), Giles Lane (Proboscis), Karen Martin (Proboscis), George Roussos (Birkbeck College, University of London), Jenson Taylor (Birkbeck College, University of London)

Here is the workshop abstract:
Sensing is going mobile and people-centric. Sensors for activity recognition and GPS for location are now being shipped in millions of top end mobile phones. This complements other sensors already on mobile phones such as high-quality cameras and microphones. At the same time we are seeing sensors installed in urban environments in support of more classic environmental sensing applications, such as, real-time feeds for air-quality, pollutants, weather conditions, and congestion conditions around the city. Collaborative data gathering of sensed data for people by people, facilitated by sensing systems comprised of everyday mobile devices and their interaction with static sensor webs, present a new frontier at the intersection between pervasive computing and sensor networking.

This workshop promotes exchange among sensing system researchers involved in areas, such as, mobile sensing, people-centric and participatory sensing, urban sensing, public health, community development, and cultural expression. It focuses on how mobile phones and other everyday devices can be employed as network- connected, location-aware, human-in-the-loop sensors that enable data collection, geo-tagged documentation, mapping, modeling, and other case-making capabilities.

http://sensorlab.cs.dartmouth.edu/urbansensing/

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