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Assistive digital technology to promote quality of life and independent living for older adults through improved self-regulation : ǂa ǂscoping review
Gaja Zager Kocjan, Tanja Špes, Matija Svetina, Nejc Plohl, Urška Smrke, Izidor Mlakar, Bojan Musil, 2022, original scientific article

Abstract: Digital technologies can be a key component in helping older adults maintain their autonomy and quality of life in their homes and communities. The purpose of this scoping review was to examine the existing literature on the role of assistive digital technologies in promoting a higher quality of life and independent living for older adults by supporting their self-regulation in various aspects of daily living. The review was conducted and reported in accordance with PRISMA guidelines. Major electronic databases were searched to identify relevant articles published between 2012 and 2022. A total of 972 articles were identified, of which 19 articles met all inclusion criteria. Results are presented in four categories: (i) types of digital technologies, (ii) quality of life domains, (iii) quality of life benefits, and (iv) technological aspects supporting self-regulation. Our review also showed that successful adoption of assistive technologies depends on older adults’ trust in these technologies and the perceived benefits of technological support. Early involvement of older adults in the development of assistive technologies appears to play an important role in their technological self-efficacy. The limitations of the studies reviewed are discussed, and some general guidelines for future research in this area are suggested.
Keywords: digitalna tehnologija, podporna tehnologija, kakovost življenja, staranje, samouravnavanje, pregledni članek, digital technology, assistive technology, quality of life, aging, self-regulation, scoping review
Published in DKUM: 27.02.2024; Views: 181; Downloads: 3
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PALANTIR : An NFV-Based Security-as-a-Service Approach for Automating Threat Mitigation
Maxime Compastié, Antonio López Martínez, Carolina Fernandez, Manuel Gil Pérez, Stylianos Tsarsitalidis, George Xylouris, Izidor Mlakar, Michail Alexandros Kourtis, Valentino Šafran, 2023, original scientific article

Abstract: Small and medium enterprises are significantly hampered by cyber-threats as they have inherently limited skills and financial capacities to anticipate, prevent, and handle security incidents. The EU-funded PALANTIR project aims at facilitating the outsourcing of the security supervision to external providers to relieve SMEs/MEs from this burden. However, good practices for the operation of SME/ME assets involve avoiding their exposure to external parties, which requires a tightly defined and timely enforced security policy when resources span across the cloud continuum and need interactions. This paper proposes an innovative architecture extending Network Function Virtualisation to externalise and automate threat mitigation and remediation in cloud, edge, and on-premises environments. Our contributions include an ontology for the decision-making process, a Fault-and-Breach-Management-based remediation policy model, a framework conducting remediation actions, and a set of deployment models adapted to the constraints of cloud, edge, and on-premises environment(s). Finally, we also detail an implementation prototype of the framework serving as evaluation material.
Keywords: Security-as-a-Service, security orchestration, policy-driven management, virtual network functions, finite state machines, constraints programming
Published in DKUM: 06.02.2024; Views: 198; Downloads: 4
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Scoping review on the multimodal classification of depression and experimental study on existing multimodal models
Umut Arioz, Urška Smrke, Nejc Plohl, Izidor Mlakar, 2022, review article

Abstract: Depression is a prevalent comorbidity in patients with severe physical disorders, such as cancer, stroke, and coronary diseases. Although it can significantly impact the course of the primary disease, the signs of depression are often underestimated and overlooked. The aim of this paper was to review algorithms for the automatic, uniform, and multimodal classification of signs of depression from human conversations and to evaluate their accuracy. For the scoping review, the PRISMA guidelines for scoping reviews were followed. In the scoping review, the search yielded 1095 papers, out of which 20 papers (8.26%) included more than two modalities, and 3 of those papers provided codes. Within the scope of this review, supported vector machine (SVM), random forest (RF), and long short-term memory network (LSTM; with gated and non-gated recurrent units) models, as well as different combinations of features, were identified as the most widely researched techniques. We tested the models using the DAIC-WOZ dataset (original training dataset) and using the SymptomMedia dataset to further assess their reliability and dependency on the nature of the training datasets. The best performance was obtained by the LSTM with gated recurrent units (F1-score of 0.64 for the DAIC-WOZ dataset). However, with a drop to an F1-score of 0.56 for the SymptomMedia dataset, the method also appears to be the most data-dependent.
Keywords: multimodal depression classification, scoping review, real-world data, mental health
Published in DKUM: 11.08.2023; Views: 421; Downloads: 44
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Capturing Conversational Gestures for Embodied Conversational Agents Using an Optimized Kaneda–Lucas–Tomasi Tracker and Denavit–Hartenberg-Based Kinematic Model
Grega Močnik, Zdravko Kačič, Riko Šafarič, Izidor Mlakar, 2022, original scientific article

Abstract: In order to recreate viable and human-like conversational responses, the artificial entity, i.e., an embodied conversational agent, must express correlated speech (verbal) and gestures (non-verbal) responses in spoken social interaction. Most of the existing frameworks focus on intent planning and behavior planning. The realization, however, is left to a limited set of static 3D representations of conversational expressions. In addition to functional and semantic synchrony between verbal and non-verbal signals, the final believability of the displayed expression is sculpted by the physical realization of non-verbal expressions. A major challenge of most conversational systems capable of reproducing gestures is the diversity in expressiveness. In this paper, we propose a method for capturing gestures automatically from videos and transforming them into 3D representations stored as part of the conversational agent’s repository of motor skills. The main advantage of the proposed method is ensuring the naturalness of the embodied conversational agent’s gestures, which results in a higher quality of human-computer interaction. The method is based on a Kanade–Lucas–Tomasi tracker, a Savitzky–Golay filter, a Denavit–Hartenberg-based kinematic model and the EVA framework. Furthermore, we designed an objective method based on cosine similarity instead of a subjective evaluation of synthesized movement. The proposed method resulted in a 96% similarity.
Keywords: conversational gestures, 3D gestures, motor skills, gesture reconstruction, kinematics, embodied conversational agents, Kanade–Lucas–Tomasi tracker, Denavit–Hartenberg
Published in DKUM: 20.01.2023; Views: 514; Downloads: 65
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Razvoj večmodalnega zaznavnega omrežja za zajemanje občutkov in ocene kakovosti življenja : magistrsko delo
Valentino Šafran, 2021, master's thesis

Abstract: V magistrskem delu predstavljamo razvoj večmodalnega zaznavnega omrežja za namene evropskega projekta H2020 PERSIST, ki zajema podatke oziroma občutke, z namenom ocenjevanja kakovosti življenja pacientov. Pred razvojem sistema, smo preučili in podali pregled procesa zajema podatkov že obstoječih sistemov, ter pregled izbranih gradnikov za naš sistem. Predstavljamo tudi uporabljene standarde in protokole, ki se uporabljajo znotraj predlaganega sistema. Za arhitekturo večmodalnega zaznavnega omrežja smo izbrali tri temeljne gradnike za katere smo ocenili, da lahko tvorijo zmogljivo omrežje za prenos in obdelavo podatkov, ter ponujajo možnost nadgrajevanja v primeru zvišanja zahtev projekta. Ti trije gradniki so Apache Camel, Apache ActiveMQ Artemis in Apache Kafka. Vse gradnike smo postavili na fizičnem strežniku PERSIST_CAMEL, in sicer vsakega na svojem virtualnem stroju. Mikroservisi strojnega učenja, razen vprašalnikov, ki jih izvaja Rasa Chatbot, ki so v procesu razvoja, pa predstavljajo odjemalce tega sistema. Večmodalno zaznavno omrežje je ustrezno zavarovano z varnimi protokoli in z uporabo drugih varnostnih elementov. Na koncu podamo tudi rezultate testiranja obremenjenosti in odzivnosti sistema pri odgovarjanju na vprašalnike. Iz rezultatov je razvidno, da zastavljen sistem uspešno izvaja pretakanje podatkov za podano število 200 pacientov v projektu PERSIST, in lahko podpre tudi večje število uporabnikov.
Keywords: večmodalno zaznavno omrežje, kakovost življenja, skrb za zdravje, zbiranje podatkov pacientov, Apache Camel, Apache ActiveMQ Artemis, Apache Kafka
Published in DKUM: 18.10.2021; Views: 848; Downloads: 96
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Domain landscape : [project HosmartAI]
Robert Hofsink, Andrej Bergauer, Vojko Flis, Nina Kobilica, Tadej Kampič, Izidor Mlakar, Daniel Hari, Riko Šafarič, Suzana Uran, 2021, treatise, preliminary study, study

Published in DKUM: 07.05.2021; Views: 790; Downloads: 33
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Multimodal corpus EVA 1.0
Izidor Mlakar, Simona Majhenič, Matej Rojc, Darinka Verdonik, 2020, complete scientific database of research data

Published in DKUM: 09.07.2020; Views: 2755; Downloads: 10
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Govorni, dialoški in multimodalni jezikovni viri : pregled stanja
Darinka Verdonik, Andrej Žgank, Simona Majhenič, Izidor Mlakar, 2020, treatise, preliminary study, study

Keywords: multimodalni jezikovni viri, jezikovni viri
Published in DKUM: 13.05.2020; Views: 1142; Downloads: 76
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Razvoj sistema za robustno detekcijo in prepoznavo obrazov za IOT- okolja na platformi Azure : diplomsko delo
Žiga Pustoslemšek, 2019, undergraduate thesis

Abstract: V diplomski nalogi predstavljamo razvoj dveh neodvisnih aplikacij, ki za prepoznavo obrazov uporabljata storitev Microsoft Azure Face. Prva aplikacija je namenjena za upravljanje z uporabniki, ki jih želimo vključiti v sistem prepoznave. Drugo aplikacijo pa smo razvili za proces prepoznavanja oseb v IoT okolju. V nalogi so predstavljene metode za detekcijo in prepoznavo obrazov, ter tehnologije uporabljene za razvoj sistema in obeh aplikacij.
Keywords: Microsoft Azure, spletna aplikacija, prepoznava obrazov, detekcija obrazov
Published in DKUM: 21.11.2019; Views: 1214; Downloads: 56
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