A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hierarchical architecture for behavior-based robots
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Robot introspection through learned hidden Markov models
Artificial Intelligence
Statistical modeling of complex backgrounds for foreground object detection
IEEE Transactions on Image Processing
Situation-Theoretic Analysis of Human Intentions in a Smart Home Environment
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
Learning multirobot joint action plans from simultaneous task execution demonstrations
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
From dialogue management to pervasive interaction based assistive technology
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Proceedings of the 6th international conference on Human-robot interaction
Inferring border crossing intentions with hidden Markov models
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Deep networks for predicting human intent with respect to objects
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Manipulating mental states through physical action
ICSR'12 Proceedings of the 4th international conference on Social Robotics
Robotics and Autonomous Systems
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Understanding intent is an important aspect of communication among people and is an essential component of the human cognitive system. This capability is particularly relevant for situations that involve collaboration among agents or detection of situations that can pose a threat. In this paper, we propose an approach that allows a robot to detect intentions of others based on experience acquired through its own sensory-motor capabilities, then using this experience while taking the perspective of the agent whose intent should be recognized. Our method uses a novel formulation of Hidden Markov Models designed to model a robot's experience and interaction with the world. The robot's capability to observe and analyze the current scene employs a novel vision-based technique for target detection and tracking, using a non-parametric recursive modeling approach. We validate this architecture with a physically embedded robot, detecting the intent of several people performing various activities.