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» Learning Context for Collective Activity Recognition
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WOWMOM
2009
ACM
180views Multimedia» more  WOWMOM 2009»
13 years 11 months ago
OPPORTUNITY: Towards opportunistic activity and context recognition systems
Opportunistic sensing allows to efficiently collect information about the physical world and the persons behaving in it. This may mainstream human context and activity recognitio...
Daniel Roggen, Kilian Förster, Alberto Calatr...
IBPRIA
2009
Springer
13 years 9 months ago
Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device
In this work the feasibility of building a socially aware badge that learns from user activities is explored. A wearable multisensor device has been prototyped for collecting data ...
Pierluigi Casale, Oriol Pujol, Petia Radeva
ICIP
2007
IEEE
14 years 6 months ago
Extrapolating Learned Manifolds for Human Activity Recognition
The problem of human activity recognition via visual stimuli can be approached using manifold learning, since the silhouette (binary) images of a person undergoing a smooth motion...
Tat-Jun Chin, Liang Wang, Konrad Schindler, David ...
CSL
2010
Springer
13 years 5 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
HCI
2007
13 years 6 months ago
GART: The Gesture and Activity Recognition Toolkit
The Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed to enable the development of gestureplications. GART provides an abstraction to machine lear...
Kent Lyons, Helene Brashear, Tracy L. Westeyn, Jun...