Introduction to artificial intelligence and expert systems
Introduction to artificial intelligence and expert systems
IEEE Computer Graphics and Applications
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Gesture Based Interface for Human-Robot Interaction
Autonomous Robots
Comparative Evaluation of Face Sequence Matching for Content-Based Video Access
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Journal of Cognitive Neuroscience
Recognizing and interpreting gestures on a mobile robot
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Face and gesture recognition using subspace method for human-robot interaction
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Incremental clustering of gesture patterns based on a self organizing incremental neural network
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Information Sciences: an International Journal
A skill-based approach towards hybrid assembly
Advanced Engineering Informatics
Layered architecture for real time sign recognition: Hand gesture and movement
Engineering Applications of Artificial Intelligence
Computer Vision and Image Understanding
Adaptive mixture-of-experts models for data glove interface with multiple users
Expert Systems with Applications: An International Journal
Two-handed gesture recognition and fusion with speech to command a robot
Autonomous Robots
Knowledge acquisition through human---robot multimodal interaction
Intelligent Service Robotics
Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds
International Journal of Computer Vision
Personal and Ubiquitous Computing
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In human-human communication we can adapt or learn new gestures or new users using intelligence and contextual information. Achieving natural gesture-based interaction between humans and robots, the system should be adaptable to new users, gestures and robot behaviors. This paper presents an adaptive visual gesture recognition method for human-robot interaction using a knowledge-based software platform. The system is capable of recognizing users, static gestures comprised of the face and hand poses, and dynamic gestures of face in motion. The system learns new users, poses using multi-cluster approach, and combines computer vision and knowledge-based approaches in order to adapt to new users, gestures and robot behaviors. In the proposed method, a frame-based knowledge model is defined for the person-centric gesture interpretation and human-robot interaction. It is implemented using the frame-based Software Platform for Agent and Knowledge Management (SPAK). The effectiveness of this method has been demonstrated by an experimental human-robot interaction system using a humanoid robot 'Robovie'.