44 search results - page 1 / 9 » Extracting places from traces of locations |
WMASH
2004
ACM
14 years 4 months ago
2004
ACM
IJRR
2007
13 years 10 months ago
2007
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
KI
2007
Springer
14 years 5 months ago
2007
Springer
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signi...
EUC
2007
Springer
14 years 19 days ago
2007
Springer
Abstract. Location is the most essential presence information for mobile users. In this paper, we present an improved time-based clustering technique for extracting significant lo...
HUC
2009
Springer
14 years 3 months ago
2009
Springer
Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devic...