Data Scientist
Together with a team at Department of intelligent systems we started a machine learning-based approach to recognize different types of animal species based on the sound they produce. Currently supported species are Bumblebees, Birds, And Frogs. Website: http://animal-sounds.ijs.si A. Gradisek et al.: How to Recognize Animal Species Based On Sound – A Case Study On …
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 …
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 …
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 …
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 …