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» Experimental Evaluation of Hierarchical Hidden Markov Models
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UCS
2007
Springer
16 years 6 days ago
Discriminative Temporal Smoothing for Activity Recognition from Wearable Sensors
Abstract. This paper describes daily life activity recognition using wearable acceleration sensors attached to four different parts of the human body. The experimental data set con...
Jaakko Suutala, Susanna Pirttikangas, Juha Rö...
ICMI
2005
Springer
113views Biometrics» more  ICMI 2005»
15 years 11 months ago
Automatic detection of interaction groups
This paper addresses the problem of detecting interaction groups in an intelligent environment. To understand human activity, we need to identify human actors and their interperso...
Oliver Brdiczka, Jérôme Maisonnasse, ...
PCM
2001
Springer
150views Multimedia» more  PCM 2001»
15 years 10 months ago
Unsupervised Analysis of Human Gestures
Recognition of human gestures is important for analysis and indexing of video. To recognize human gestures on video, generally a large number of training examples for each individu...
Tianshu Wang, Heung-Yeung Shum, Ying-Qing Xu, Nann...
EMNETS
2007
15 years 10 months ago
An HMM framework for optimal sensor selection with applications to BSN sensor glove design
Laparoscopic surgical training is a challenging task due to the complexity of instrument control and demand on manual dexterity and hand-eye coordination. Currently, training and ...
Rachel C. King, Louis Atallah, Ara Darzi, Guang-Zh...
JCST
2008
138views more  JCST 2008»
15 years 6 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003