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» Mapping indoor environments based on human activity
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JMM2
2006
139views more  JMM2 2006»
14 years 9 months ago
Robust Real-time 3D Detection of Obstructed Head and Hands in Indoors Environments
We address the need for robust detection of obstructed human features in complex environments, with a focus on intelligent surgical UIs. In our setup, real-time detection is used t...
Sébastien Grange, Charles Baur
MOBICOM
2012
ACM
13 years 5 days ago
Locating in fingerprint space: wireless indoor localization with little human intervention
Indoor localization is of great importance for a range of pervasive applications, attracting many research efforts in the past decades. Most radio-based solutions require a proce...
Zheng Yang, Chenshu Wu, Yunhao Liu
FGCN
2008
IEEE
175views Communications» more  FGCN 2008»
15 years 4 months ago
Environment Recognition Based on Human Actions Using Probability Networks
To realize context aware applications for smart home environments, it is necessary to recognize function or usage of objects as well as categories of them. On conventional researc...
Hiroshi Miki, Atsuhiro Kojima, Koichi Kise
PERCOM
2005
ACM
15 years 9 months ago
Adaptive Temporal Radio Maps for Indoor Location Estimation
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
Jie Yin, Qiang Yang, Lionel M. Ni
ICPR
2010
IEEE
14 years 10 months ago
Human Activity Recognition Using Local Shape Descriptors
We propose a method for human activity recognition in videos, based on shape analysis. We define local shape descriptors for interest points on the detected contour of the human a...
Sharath Venkatesha, Matthew Turk