Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Virtual Mouse - Inputting Device by Hand Gesture Tracking and Recognition
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Vision-Based Gesture Recognition: A Review
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Hand Gesture Symmetric Behavior Detection and Analysis in Natural Conversation
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Hand motion gestural oscillations and multimodal discourse
Proceedings of the 5th international conference on Multimodal interfaces
The catchment feature model: a device for multimodal fusion and a bridge between signal and sense
EURASIP Journal on Applied Signal Processing
View-invariant analysis of periodic motion
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
3D Reconstruction of Periodic Motion from a Single View
International Journal of Computer Vision
"Moving to the centre": A gaze-driven remote camera control for teleoperation
Interacting with Computers
Exploring camera viewpoint control models for a multi-tasking setting in teleoperation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual based human motion analysis: mapping gestures using a Puppet model
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Gesture recognition using a marionette model and dynamic bayesian networks (DBNs)
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Reconstructing and analyzing periodic human motion from stationary monocular views
Computer Vision and Image Understanding
Hi-index | 0.00 |
We present a system for generation and recognition of oscillatory gestures. Inspired by gestures used in two representative human-to-human control areas, we consider a set of oscillatory motions and refine from them a 24 gesture lexicon. Each gesture is modeled as a dynamical system with added geometric constraints to allow for real time gesture recognition using a small amount of processing time and memory. The gestures are used to control a pan-tilt camera neck. We propose extensions for use in areas such as mobile robot control and telerobotics.