Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Machine Learning
Combining 2D Feature Tracking and Volume Reconstruction for Online Video-Based Human Motion Capture
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Hands and face tracking for VR applications
Computers and Graphics
Cyclic and non-cyclic gesture spotting and classification in real-time applications
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Interactive and stereoscopic hybrid 3d viewer of radar data with gesture recognition
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
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In this paper we present a new approach, based on the kinetic status history, to automatically determine the starting and ending instants of human dynamic gestures. This method opens up the possibility to distinguish static or quasi-static poses from dynamic actions, during a real-time human motion capture. This way a more complex Human-Computer Interaction (HCI) can be attained. Along with this procedure, we also present a novel method to recognize dynamic gestures independently from the velocity with which they have been performed. The efficiency of this approach is tested with gestures captured with a triple axis accelerometer, and recognized with different statistical classifiers, obtaining satisfactory results for real-time applications.