Digital repository of Slovenian research organisations

Search the repository
A+ | A- | Help | SLO | ENG

Query: search in
search in
search in
search in

Options:
  Reset


Query: "keywords" (classification) .

1 - 5 / 5
First pagePrevious page1Next pageLast page
1.
HARE : unifying the human activity recognition engineering workflow
Orhan Konak, Lucas Liebe, Kirill Postnov, Franz Sauerwald, Hristijan Gjoreski, Mitja Luštrek, Bert Arnrich, 2023, original scientific article

Abstract: Sensor-based human activity recognition is becoming ever more prevalent. The increasing importance of distinguishing human movements, particularly in healthcare, coincides with the advent of increasingly compact sensors. A complex sequence of individual steps currently characterizes the activity recognition pipeline. It involves separate data collection, preparation, and processing steps, resulting in a heterogeneous and fragmented process. To address these challenges, we present a comprehensive framework, HARE, which seamlessly integrates all necessary steps. HARE offers synchronized data collection and labeling, integrated pose estimation for data anonymization, a multimodal classification approach, and a novel method for determining optimal sensor placement to enhance classification results. Additionally, our framework incorporates real-time activity recognition with on-device model adaptation capabilities. To validate the effectiveness of our framework, we conducted extensive evaluations using diverse datasets, including our own collected dataset focusing on nursing activities. Our results show that HARE’s multimodal and on-device trained model outperforms conventional single-modal and offline variants. Furthermore, our vision-based approach for optimal sensor placement yields comparable results to the trained model. Our work advances the field of sensor-based human activity recognition by introducing a comprehensive framework that streamlines data collection and classification while offering a novel method for determining optimal sensor placement.
Keywords: human activity recognition, multimodal classification, privacy preservation, real-time classification, sensor placement
Published in DiRROS: 11.12.2023; Views: 190; Downloads: 73
.pdf Full text (6,40 MB)
This document has many files! More...

2.
3.
Combining physical and virtual worlds for motor-cognitive training interventions : position paper with guidelines on technology classification in movement-related research
Luka Šlosar, Claudia Voelcker-Rehage, Armin Paravlić, Ensar Abazović, Eling D. de Bruin, Uroš Marušič, 2022, review article

Abstract: Efficient movements require intact motor and cognitive function. There is a growing literature on motor-cognitive interventions to improve the overall quality of life of healthy or diseased older people. For such interventions, novel technological advances are crucial not only in terms of motivation but also to improve the user experience in a multi-stimuli world, usually offered as a mixture of real and virtual environments. This article provides a classification system for movement-related research dealing with motor-cognitive interventions performed in different extents of a virtual environment. The classification is divided into three categories: (a) type of digital device with the associated degree of immersiveness provided; (b) presence or absence of a human-computer interaction; and (c) activity engagement during training, defined by activity >1.5 Metabolic Equivalent of task. Since virtual reality (VR) often categorizes different technologies under the same term, we propose a taxonomy of digital devices ranging from computer monitors and projectors to head-mounted VR technology. All immersive technologies that have developed rapidly in recent years are grouped under the umbrella term Extended Reality (XR). These include augmented reality (AR), mixed reality (MR), and VR, as well as all technologies that have yet to be developed. This technology has potential not only for gaming and entertainment, but also for research, motor-cognitive training programs, rehabilitation, telemedicine, etc. This position paper provides definitions, recommendations, and guidelines for future movement-related interventions based on digital devices, human-computer interactions, and physical engagement to use terms more consistently and contribute to a clearer understanding of their implications.
Keywords: extended reality, virtual reality, augmented reality, mixed reality, exergaming, taxonomy, classification
Published in DiRROS: 21.12.2022; Views: 376; Downloads: 190
.pdf Full text (518,01 KB)
This document has many files! More...

4.
Morphologic and molecular classification of lung neuroendocrine neoplasms
Jasna Metovic, Marco Barella, Fabrizio Bianchi, Paul Hofman, Veronique Hofman, Myriam Remmelink, Izidor Kern, Lina Carvalho, Linda Pattini, Angelica Sonzogni, 2021, original scientific article

Abstract: Neuroendocrine neoplasms (NENs) of the lung encompass neuroendocrine tumors (NETs) composed of typical (TC) and atypical (AC) carcinoids and full-fledged carcinomas (NECs) inclusive of large cell neuroendocrine carcinoma (LCNEC) and small cell carcinoma (SCLC). NETs and NECs are thought to represent distinct and separate lesions with neither molecular overlap nor common developmental continuum. Two perspectives were addressed regarding the morphologic and molecular classification of lung NENs: (i) a supervised approach by browsing the traditional classification, the relevant gene alterations, and their clinical implications; and (ii) an unsupervised approach, by reappraising neoplasms according to risk factors and natural history of disease to construct an interpretation model relied on biological data. We herein emphasize lights and shadows of the current classification of lung NENs and provide an alternative outlook on these tumors focused on what we currently know about the biological determinants and the natural history of disease.
Keywords: neuroendocrine tumors, lung neoplasms, carcinoma, lung tumors, morphologic classification, molecular classification
Published in DiRROS: 02.02.2021; Views: 1133; Downloads: 752
.pdf Full text (2,60 MB)
This document has many files! More...

5.
Record of a new location for tropical root knot nematode Meloidogyne luci in Slovenia
Barbara Gerič Stare, Polona Strajnar, Saša Širca, Nik Susič, Gregor Urek, original scientific article

Abstract: The plant parasitic nematode Meloidogyne ethiopica Whitehead has been reported from several European countries, including Slovenia, where it was first found in 2003. However, the description in 2014 of a new sister species, Meloidogyne luci Carneiro et al., 2014, called for the reclassification of all European and Turkish populations of M. ethiopica reported up to this date as M. luci. Both species M. ethiopica and M. luci have a very wide host range of monocotyledons and dicotyledons. They are pests of important agricultural crops such as maize, potatoes and variety of vegetables, and represent a serious threat for agricultural production in greenhouses as well as in the open fields in many EPPO countries. This paper reports a new location of the tropical root knot nematode species M. luci found in Slovenia in 2015.
Keywords: parasitic nematode, root knot nematode, classification, populations
Published in DiRROS: 20.07.2018; Views: 2732; Downloads: 1182
.pdf Full text (111,85 KB)

Search done in 0.18 sec.
Back to top