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» Sensing and Modeling Human Networks using the Sociometer
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PERCOM
2003
ACM
14 years 1 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
IPSN
2004
Springer
14 years 1 months ago
Distributed online localization in sensor networks using a moving target
We describe a novel method for node localization in a sensor network where there are a fraction of reference nodes with known locations. For application-specific sensor networks, ...
Aram Galstyan, Bhaskar Krishnamachari, Kristina Le...
ICPR
2002
IEEE
14 years 8 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
ICRA
2008
IEEE
166views Robotics» more  ICRA 2008»
14 years 2 months ago
NIMS-AQ: A novel system for autonomous sensing of aquatic environments
— Over the last few years, the complexity of aquatic sensing applications has increased as a result of demands for: higher spatial coverage with high resolution monitoring, under...
Michael J. Stealey, Amarjeet Singh 0003, Maxim A. ...
ICRA
2000
IEEE
121views Robotics» more  ICRA 2000»
14 years 4 days ago
Stable Haptic Interaction Using the Excalibur Force Display
Creating a compelling haptic sense of immersion in a virtual environment is a challenging task for the control engineer. A haptic display must render both low impedance free-space...
Richard J. Adams, Daniel Klowden, Blake Hannaford