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» Darwin phones: the evolution of sensing and inference on mob...
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MOBICOM
2009
ACM
13 years 11 months ago
SurroundSense: mobile phone localization via ambience fingerprinting
A growing number of mobile computing applications are centered around the user’s location. The notion of location is broad, ranging from physical coordinates (latitude/longitude...
Martin Azizyan, Ionut Constandache, Romit Roy Chou...
LOCA
2005
Springer
13 years 10 months ago
Mobile Context Inference Using Low-Cost Sensors
In this paper, we introduce a compact system for fusing location data with data from simple, low-cost, non-location sensors to infer a user’s place and situational context. Speci...
Evan Welbourne, Jonathan Lester, Anthony LaMarca, ...
WMCSA
2012
IEEE
12 years 10 days ago
Code in the air: simplifying sensing and coordination tasks on smartphones
A growing class of smartphone applications are tasking applications that run continuously, process data from sensors to determine the user’s context (such as location) and activ...
Lenin Ravindranath, Arvind Thiagarajan, Hari Balak...
CHI
2008
ACM
14 years 5 months ago
Activity sensing in the wild: a field trial of ubifit garden
Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing and machine learning to infer people&#...
Sunny Consolvo, David W. McDonald, Tammy Toscos, M...
CHI
2010
ACM
13 years 11 months ago
Biketastic: sensing and mapping for better biking
Bicycling is an affordable, environmentally friendly alternative transportation mode to motorized travel. A common task performed by bikers is to find good routes in an area, whe...
Sasank Reddy, Katie Shilton, Gleb Denisov, Christi...