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CVPR
2006
IEEE
14 years 9 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar
IVC
2002
141views more  IVC 2002»
13 years 7 months ago
Real-time gesture recognition system and application
In this paper, we consider a vision-based system that can interpret a user's gestures in real time to manipulate windows and objects within a graphical user interface. A hand...
Chan Wah Ng, Surendra Ranganath
FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
13 years 12 months 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...
COMSIS
2010
13 years 5 months ago
An accelerometer-based gesture recognition algorithm and its application for 3D interaction
Abstract. This paper proposes an accelerometer-based gesture recognition algorithm. As a pre-process procedure, raw data output by accelerometer should be quantized, and then use d...
Jianfeng Liu, Zhigeng Pan, Xiangcheng Li
ROBOCUP
2009
Springer
289views Robotics» more  ROBOCUP 2009»
14 years 2 days ago
Real-Time Hand Gesture Recognition for Human Robot Interaction
In this article a hand gesture recognition system that allows interacting with a service robot, in dynamic environments and in real-time, is proposed. The system detects hands and ...
Mauricio Correa, Javier Ruiz-del-Solar, Rodrigo Ve...