Authors: B. Kaluža, G. Kaminka, M. Tambe Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012) Abstract In many multiagent domains, no single observation event is sufficient to determine that the behavior of individuals is suspicious. Instead, suspiciousness must be inferred from a combination of multiple events, where events refer to the individual’s …
Tag: machine learning
Confidence: Ubiquitous Care System to Support Independent Living
The Confidence system aims at helping the elderly stay independent longer by detecting falls and unusual movement which may indicate a health problem. The system uses location sensors and wearable tags to determine the coordinates of the user’s body parts, and an accelerometer to detect fall impact and movement. Machine learning is combined with domain …
CIVaBiS: An Advanced Biometric Access Control System
Biometric and smart card access points are increasingly becoming equipped with additional input sensors, integrated intelligent video surveillance systems and advanced intelligent methods that learn from experience. We have designed a flexible modular system based on integration of arbitrary access control sensors and an arbitrary number of stand-alone modules. The system was tested with four …