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» Activity Recognition using Optical Sensors on Mobile Phones
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HUC
2011
Springer
13 years 9 months ago
Enabling large-scale human activity inference on smartphones using community similarity networks (csn)
Sensor-enabled smartphones are opening a new frontier in the development of mobile sensing applications. The recognition of human activities and context from sensor-data using cla...
Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanz...
MDM
2007
Springer
111views Communications» more  MDM 2007»
15 years 3 months ago
Situation Inference for Mobile Users: A Rule Based Approach
Mobile phones are being increasingly equipped with sensors that ease retrieval of context information about a user. Context data can be aggregated with information centrally avail...
Laurent-Walter Goix, Massimo Valla, Laura Cerami, ...
87
Voted
MVA
1996
122views Computer Vision» more  MVA 1996»
14 years 11 months ago
Object Recognition from Range Images Using Superquadric Representations
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Erik R. van Dop, Paul P. L. Regtien
ICBA
2004
Springer
180views Biometrics» more  ICBA 2004»
15 years 3 months ago
FVC2004: Third Fingerprint Verification Competition
A new technology evaluation of fingerprint verification algorithms has been organized following the approach of the previous FVC2000 and FVC2002 evaluations, with the aim of tracki...
Dario Maio, Davide Maltoni, Raffaele Cappelli, Jam...
RAS
2000
161views more  RAS 2000»
14 years 9 months ago
Active object recognition by view integration and reinforcement learning
A mobile agent with the task to classify its sensor pattern has to cope with ambiguous information. Active recognition of three-dimensional objects involves the observer in a sear...
Lucas Paletta, Axel Pinz