44 search results - page 1 / 9 » Extracting places from traces of locations |
WMASH
2004
ACM
13 years 10 months ago
2004
ACM
IJRR
2007
13 years 4 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
13 years 10 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
13 years 6 months 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
13 years 9 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...