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Projects / Programmes source: ARIS

Metrology and biometric systems

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Periods
January 1, 2018 - December 31, 2023
Research activity

Code Science Field Subfield
2.15.00  Engineering sciences and technologies  Metrology   
2.06.00  Engineering sciences and technologies  Systems and cybernetics   

Code Science Field
P175  Natural sciences and mathematics  Informatics, systems theory 

Code Science Field
2.02  Engineering and Technology  Electrical engineering, Electronic engineering, Information engineering 
Keywords
metrology, biometrics, magnetometers, acoustic measurement and modelling, personal health monitoring, acoustic localization, speech technologies, ambient intelligence, machine learning, pattern recognition, deep neural networks, deep learning.
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
5,390.27
A''
772.88
A'
1,668.95
A1/2
2,551.49
CI10
4,706
CImax
321
h10
32
A1
17.72
A3
12.88
Data for the last 5 years (citations for the last 10 years) on December 1, 2023; A3 for period 2017-2021
Data for ARIS tenders ( 04.04.2019 – Programme tender , archive )
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Database Linked records Citations Pure citations Average pure citations
WoS  286  3,949  3,453  12.07 
Scopus  431  6,111  5,200  12.06 
Researchers (24)
no. Code Name and surname Research area Role Period No. of publications
1.  55920  Žiga Babnik  Computer science and informatics  Junior researcher  2021 - 2023  8 
2.  22480  PhD Samo Beguš  Metrology  Researcher  2018 - 2023  169 
3.  11805  PhD Simon Dobrišek  Computer science and informatics  Researcher  2018 - 2023  281 
4.  21314  PhD Miha Fošnarič  Physics  Researcher  2020 - 2021  169 
5.  38118  PhD Klemen Grm  Systems and cybernetics  Researcher  2018 - 2023  42 
6.  13144  PhD Stanislav Gruden  Electronic components and technologies  Researcher  2018 - 2023  36 
7.  22479  PhD Melita Hajdinjak  Mathematics  Researcher  2018 - 2023  126 
8.  53879  Marija Ivanovska  Systems and cybernetics  Technical associate  2021 - 2023  25 
9.  51481  Tina Kamenšek  Public health (occupational safety)  Technical associate  2021  51 
10.  31985  PhD Janez Križaj  Systems and cybernetics  Researcher  2018 - 2023  36 
11.  55070  Ajda Lampe  Computer science and informatics  Junior researcher  2021  6 
12.  33172  PhD Rok Mandeljc  Systems and cybernetics  Researcher  2019  56 
13.  09580  PhD France Mihelič  Computer science and informatics  Researcher  2018  313 
14.  01938  PhD Nikola Pavešič  Systems and cybernetics  Retired researcher  2018 - 2019  657 
15.  51910  Martin Pernuš  Computer science and informatics  Junior researcher  2018 - 2023  13 
16.  39667  Slaven Ranogajec    Technical associate  2018 - 2020  0 
17.  19230  PhD Peter Rogelj  Systems and cybernetics  Researcher  2018 - 2023  118 
18.  53724  Peter Rot  Computer science and informatics  Researcher  2023  19 
19.  28458  PhD Vitomir Štruc  Systems and cybernetics  Head  2018 - 2023  344 
20.  54814  Žan Tomazini  Metrology  Junior researcher  2020 - 2023  6 
21.  11380  PhD Mario Žganec  Metrology  Researcher  2019 - 2023  98 
22.  12000  PhD Jerneja Žganec Gros  Computer science and informatics  Researcher  2018 - 2023  290 
23.  19236  PhD Janez Žibert  Computer science and informatics  Researcher  2018 - 2023  265 
24.  31981  PhD Vincencij Žužek  Metrology  Researcher  2018 - 2023  34 
Organisations (4)
no. Code Research organisation City Registration number No. of publications
1.  0382  University of Ljubljana, Faculty of Health Sciences  LJUBLJANA  1627155  14,133 
2.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  27,564 
3.  1669  University of Primorska, Andrej Marušič Insitute  Koper  1810014007  10,496 
4.  1986  ALPINEON R & D  Ljubljana  1820931  387 
Abstract
Within the research programme researchers from two universities and one technology-oriented SME perform fundamental and applied research on selected topics in the field of metrology. These topics include automatic analysis and modelling of biometric, acoustic, magnetic and other types of sensory data with the goal of developing a new generation of technological systems for the protection of people and their health as well as ensuring a safe living environment. Depending on the target application domain and the type of sensory and measuring devices used, the activities of the research programme are focused on four main areas, i.e.: biometric measurements and modelling, personal health monitoring and modelling, acoustic measurements and speech modelling and magnetic measurements and modelling. The fundamental research conducted within the programme is aimed at finding new opportunities for the use of existing measuring and sensory devices in the development of various biometric systems for automatic detection and identification of people and systems for long-term monitoring and modelling of the health statuses of people and their environment from the acquired sensory and measurement data. The development of these procedures is based on the use of state of the art methods for machine learning and automatic pattern recognition. Part of the research is focused on the development of new measuring devices and sensors suitable for these application areas. One of the most important goals of the research programme is to develop systems and solve open issues in the field of biometric measurements and modelling. The search for solutions in this area concentrates on the use of deep neural networks and the use of deep learning methods. Approaches to biometric measurements and modelling are related to the methods for measuring and modelling health conditions of people. Therefore, one of the research targets of the programme also includes the development of systems for personal measurement and long-term medical monitoring of people using a variety of selected measurement and sensory data. The research work on acoustic measurements and speech modelling is concentrated on the development of speech technologies, including acoustic spatial localization, speech and speaker recognition techniques and methods for the recognition of psycho-physical conditions, with the emphasis on solutions for the Slovenian spoken language. In case of acoustic measurements for health status monitoring, part of the research is focused on innovative sensor systems for sensing otoacoustic emissions, which are suitable for hearing screening tests. In the area of magnetic measurements and modelling special emphasis is given on the development of weak magnetic field measurement devices and investigation of the possibility of their use in diagnostic screening tests. Research is also focused on exploring the possibilities of their use in providing protection from unwanted or harmful magnetic fields.
Significance for science
The research and development work that is planned within the framework of the research programme is focused on the search for new ideas and findings in the field of acquisition, analysis and modelling of biometrics, medical, acoustic and magnetic measurements and sensory data for the development of technological systems that are capable of supporting the protection of people and their health and for providing a safe living environment. The development of such technological systems is an important and challenging research and development challenge, as it is evident from the fact that as of recently an increasing number of research groups and companies are investing more and more effort into the development of such systems.  Work within the framework of the research programme represents a continuation of the research work of participating researchers that are already involved in international research activities in the field of research and development of the discussed technologies. This integration is also reflected in the successfully completed transfers of technology into practice, granted patents and high-profile publications in international scientific and professional conferences and in international scientific peer-reviewed journals. The participating researchers have an outstanding track record in cooperating in interdisciplinary international projects that address technological and broader legal and sociological issues of intelligent control technologies, in which biometric control systems represent a very important segment. By transferring the acquired knowledge to other areas, the expected results of the programme will have a great impact on other related research fields, such as intelligent systems based on computer analysis of different types of sensory signals, automatic pattern recognition and machine learning, data mining, intelligent control systems, ambient intelligent systems etc. With the planned research and development of biometric systems the expected results will have an impact primarily on the development of new guidelines in simplifying generative deep neural networks that are used in biometric identification of people, on the development of end-to-end models that include both analytical and generative parts, and on the development of new methodology for including prior knowledge into deep neural networks. The expected results will provide new insights and knowledge about deep neural networks and deep learning, which are used in the development of various biometric systems. Research in the field of personal health monitoring and modelling of individuals will contribute significantly to the development of personal health applications and systems for measurement and long-term health monitoring of people. Such systems are becoming increasingly important in health protection and for timely warning of health problems. Research in the field of speech technologies represents an important segment of research in the broader field of information and communication technologies, supported by the EU. Preserving multilingualism of the member states is one of the main principles within the framework of the EU activities. Therefore, procedures that enable the use of these technologies for the development of multi-language information and communication systems and speech based biometric security systems, are among the priorities of European research activities.
Significance for the country
Knowledge and technologies that will result from the research programme will be directly applicable by the industry for the development of new products and for advanced services in the field of biometric security and surveillance systems, systems for personal health monitoring, magnetic measurement and speech technologies, which will be tailored to the Slovenian language area. Identity management is an important component of advanced intelligent systems. The market for identity management is currently dominated by a few large corporations, such as MORPHO, Cognitec, Microsoft and Google, which mainly focus on biometric applications. Available market studies agree that there is much room for growth in the identity management technology market, where currently industry revenues range from 8 to 10 billion USD. Market analysis and forecast for the period 2009-2017, which was conducted by Acuity Market Intelligence estimates the annual growth rate of around 20% for the market of identity management technologies, of which biometric systems are an integral part. A side effect of this development is the emergence of multiple niche markets that can be addressed by smaller companies with innovative and specialized solutions and can thus be integrated into international value chains. Several Slovenian companies have recently expressed interest for cooperation in the development of new products in these fields. These technologies are among highly specialized technologies that boast a high level of added value and therefore represent an important export commodity, which can substantially contribute to the economic success and recognition and promotion of Slovenia abroad. Research in the field of speech technologies is for Slovenia, after joining the EU, particularly important, because the Slovenian language represents one of the cornerstones of our cultural and national identity. Research in this field will increase the competitiveness of our language when compared to others. The participating researchers have been involved in several European international projects, which are related to the proposed research and pertain to broader issues of legal and social regulation of biometrics and other surveillance technologies. In the scope of these projects they have established contacts with both the Information Commissioner and the Ministry of Interior of the Republic of Slovenia and on the basis of this experience they advise companies on how to adequately handle the development and introduction of such technologies (advice in the preparation of privacy impact assessments, etc.). They also organized several high-profile international professional and scientific events in Slovenia, which were directly or indirectly related to the proposed research. In the context of projects and the organization of international events, they have acquired important international contacts, through which Slovenian science is promoted and thus also the Slovenian state, which certainly contributes to the socio-economic and cultural reputation and development of Slovenia. Participating researchers and the project partners of recent international projects are preparing applications for new interdisciplinary projects in the fields of security and surveillance technologies that are in the light of development in the socio-political situation in the EU gaining in importance and impact on the regulation of our society. Participating researchers are involved in various university and professional educational programmes, through which they pass on their knowledge in the field of metrology, biometrics, health systems, pattern recognition and artificial intelligent systems to new generations of students, who are as future engineers and technologists being trained in these fields. Research work within the framework of the proposed programme presents a significant support to these efforts, especially in acquisition of new knowledge and skills, which will enable the Slove
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