Projects

This page lists the most important project that I work(ed) on.

2014 – 2017 Fit4Work – Improving health of older employees

The Fit4Work project aims at delivering an innovative system capable of detecting, monitoring and countering physical and psychological stress related to occupation of older adults. The project will extend off-the-shelf technologies (3D motion sensing, wearable wellness sensors, ambient sensors, and mobile devices) with specialized components able to analyse physical and mental fitness in order to provide personalized recommendations and exercises. The resulting product will be a coupling of unobtrusive devices and services that make it possible to continuously monitor self at work and manage own fitness thanks to motivating training scheme. The goal is to increase users’ quality of lives and health-related fitness.

JSI will develop algorithms based on machine learning and expert rules that will analyse and interpret the sensor data about the user’s physical and mental fitness: the type and amount of physical activity and the level of stress will be inferred and suitability of workplace ambient conditions will be evaluated. In addition, a decision support system combining results of the data analysis with user’s health record and expert knowledge (ontological knowledge base) will be developed in order to recommend the type and time of exercises and appropriate actions such as: setting proper workplace conditions (e.g., light level, chair and computer screen placement) and taking additional measurements (e.g., blood pressure).

2012 – 2014 OpUS – Truly smart home

The project OpUS aims to develop innovative smart house solution that will minimize costs, energy consumption and environmental impact, while maximizing users comfort and security. Using sensing and artificial intelligence the system will learn and adapt to ever-changing habits and needs of the users. Based on the learned knowledge the system will propose changes in smart house automation calculated using multi-objective optimization that will be offered by an intuitive graphical user interface.

2012 – 2013 e-Turist – The easiest way to plan your perfect trip

E-Turist is a mobile application that attempts to provide a tourist with an experience comparable to that offered by a professional tour guide, but tailored specifically to him/her. The tourist enters his interests, the available time and any special requirements he/she may have. Based on these, the application prepares a personalized sightseeing program using a recommender system. Afterwards, the application guides the tourist using the GPS, providing a multilingual description accompanied by photos. The description is available on the mobile phone screen and via synthesized voice. The tourist may comment and rate each sight, which is then used by the recommendar system and tourism workers to improve their services. The mobile application is accompanied by a web application which allows the tourism workers to enter information on sights of interest and track the activity of their visitors.

2011 – 2013 E-doorman – Intelligent system acting as an human doorman

The aim of the project is to develop a prototype of electronic doorman: an intelligent system based on a door with electro-mechanic lock, tablet PC, micro-controller and an array of sensors that offers services similar to a human doorman, improves security and increases user comfort. The sensors gather data about events related to the door which are used for context based reasoning and awareness achieved by artificial intelligence methods running on the tablet. The e-doorman system is able to recognize the users, detect unusual entry/exit, break-in and break-in attempts, predict user presence and offers personalized services (customizable notifications and alarms, relevant information, voice messages, greetings and tips) and remote control using intuitive GUI or virtual assistant that understands natural language.
A free Android application developed as a side product of the project is available here.

2011 – 2014 IntellAct – Intelligent observation and execution of actions and manipulations

IntellAct logo
IntellAct addresses the problem of understanding and exploiting the meaning (semantics) of manipulations in terms of objects, actions and their consequences for reproducing human actions with machines. It comprises three building blocks: (1) Learning: Abstract, semantic descriptions of manipulations are extracted from video sequences showing a human demonstrating the manipulations; (2) Monitoring: In the second step, observed manipulations are evaluated against the learned, semantic models; (3) Execution: Based on learned, semantic models, equivalent manipulations are executed by a robot. The analysis of low-level observation data for semantic content (Learning) and the synthesis ofconcrete behavior (Execution) constitute the major scientific challenge of IntellAct.

2010 – 2013 CHIRON – Cyclic and person-centric Health management: Integrated appRoach for hOme, mobile and clinical eNvironments

The project aims to develop an integrated framework for personalized health-care at home, in a nomadic environment and in the hospital. A patient is equipped with wearable sensors, which continuously monitor his condition. The sensors are connected to a smart-phone, which issues warnings and advises the patient based on a personalized health assessment model. The data from the sensors, together with the data from the patient’s health record and novel medical imaging solutions, is accessible to medical professionals. Their work is supported by an advanced health assessment model, which is continuously modified by incoming data and experts’ input. For explanation of the key concepts, and overview of the system, its functions and use in practice see the video below.

2009 – 2010: iLab – Intelligent laboratory system for healthcare (Inteligentni informacijski sistem laboratorijev v zdravstvu)

iLab system overview
iLab is a project financed partially by Slovenia and partly by EU. In collaboration with companies Lotrič laboratory for metrology d.o.o. and IMS merilni sistemi d.o.o. we developed an intelligent information system for health care laboratories. Our contribution to the project was an intelligent module that is capable of detecting anomalous operation of laboratory equipment with focus on the refrigeration systems. The main features of intelligent module are intelligent laboratory equipment monitoring and quality prediction of laboratory samples which are both based on anomalous event detection from environment parameters data streams (e.g. temperature, humidity). In 2011 the project was awarded with TARAS at the 3rd Industrial Forum of Innovation, R&D and Technology (IRT) for successful collaboration between research institution and industry.

2008 – 2011: CONFIDENCE – Ubiquitous Care System to Support Independent Living

The main objective of project Confidence (Ubiquitous Care System to Support Independent Living) is the development and integration of innovative technologies to build a care system for the detection of abnormal events (such as falls) or unexpected behaviors that may be related to a health problem in elderly people.

2007 – 2010: Commanders Right Hand – Poveljnikova desna roka (PDR)

Commanders Right Hand was a Targeted Research Project financed by the goal research program “Science for security and peace 2006 – 2010″ in collaboration with Špica d.o.o., Faculty of Electrical Engineering and Slovenian Ministry of Defense. The goal of the project was development of a prototype of intelligent system for surveillance of movement of personnel and equipment that alarms the commander about unusual and forbidden activities and enables centralized overview of monitored environment and analysis of past events. Tagging of all personnel and important equipment with tags that enable real-time localization with high accuracy in connection with intelligent video surveillance enabled the system to learn about the usual behavior and to recognize the unusual behavior while the expert system module adds a simple way of specifying prohibited behavior. The commanders Right Hand intelligent system prototype is able to alarm the commander about sabotages, thefts, staff negligence and insubordination, fire in the building and similar incidents. Video demonstrations are available on Youtube: overall system, video module, statistics & macro modules and fuzzy logic. The project won The Best Slovenian Innovation prize in 2009 at the 4th Slovenian Forum of Innovations.