Tag: real-time processing

Research

Predictive API and Decision as a Service

The key challenge that existing predictive analytics software has not been able to solve is how to extract knowledge from data quickly and put it into the hands of data owners to make better, more informed decisions. Separating decision-making from application process logic is often beneficial, hence designing adaptive predictive models based on Software as …

Publication

ECAI 2012: Confidence – Ubiquitous Care System to Support Independent Living (Demo)

Authors: M. Luštrek, B. Kaluža, B. Cvetkovic, E. Dovgan, H. Gjoreski, V. Mirchevska, and M. Gams European Conference on Artificial Intelligence 2012 Abstract 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 …

Projects

Confidence: Ubiquitous Care System to Support Independent Living

Confidence system

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 …

Projects

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 …

Research

Activity Recognition

Activity recognition is an essential task that enables analysis of human behavior. We focused on recognition of activities from sensors that provide 3D coordinates (such as Vicon and Ubisense) using machine learning algorithms. We analyzed how sensor placement and amount of noise affects recognition accuracy and developed a series of filters to reduce noise in …