Data Scientist
My second book on Data Science is focused on how to implement Machine Learning applications in Java by leveraging most popular libraries such as Apache Mahout, Weka, deeplearning4java, and others. It is scheduled to be published by the end of the year. Machine Learning in Java will provide you with the techniques and tools you …
An analysis of daily-living behavior is an important approach to assess the wellbeing of an elderly person that lives at home alone. This study focuses on approaches to monitoring an individual in the home environment by an ambient-intelligence system in order to detect anomalies in daily-living patterns. We propose a method that is based on …
Authors: H. Gjoreski, B. Kaluža, M. Gams, R. Milić, and M. Luštrek 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013) Abstract: Monitoring human energy expenditure is important in many health and sport applications, since the energy expenditure directly reflects the level of physical activity. The actual energy expenditure is unpractical to …
Authors: B. Kaluža and M. Gams Journal of Ambient Intelligence and Smart Environments Abstract An analysis of daily-living behavior is an important approach to assess the wellbeing of an elderly person that lives at home alone. This paper presents an approach to monitoring an individual in the home environment by an ambient-intelligence system in order …
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 …
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 …