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FTSIG
2007
136views more  FTSIG 2007»
13 years 7 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
AMI
2009
Springer
13 years 10 months ago
Sensor-Based Human Activity Recognition in a Multi-user Scenario
Existing work on sensor-based activity recognition focuses mainly on single-user activities. However, in real life, activities are often performed by multiple users involving inter...
Liang Wang, Tao Gu, XianPing Tao, Jian Lu
ICPR
2010
IEEE
13 years 10 months ago
Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitori...
Svebor Karaman, Jenny Benois-Pineau, Remi Megret, ...
MLMI
2007
Springer
14 years 1 months ago
Conditional Sequence Model for Context-Based Recognition of Gaze Aversion
Eye gaze and gesture form key conversational grounding cues that are used extensively in face-to-face interaction among people. To accurately recognize visual feedback during inter...
Louis-Philippe Morency, Trevor Darrell
FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
14 years 4 days ago
Hand Gesture Recognition Using Input-Output Hidden Markov Models
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
Sébastien Marcel, Olivier Bernier, Jean-Emm...