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Publications (10 of 22) Show all publications
Hu, Y., Goswami, P. & Sundstedt, V. (2023). A Review on XR in Home-based Nursing Education. In: HEALTHINFO 2023: The Eighth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing. Paper presented at HEALTHINFO 2023 : The Eighth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, Valencia, 13/11 - 17/11 2023 (pp. 39-43). International Academy, Research, and Industry Association (IARIA)
Open this publication in new window or tab >>A Review on XR in Home-based Nursing Education
2023 (English)In: HEALTHINFO 2023: The Eighth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, International Academy, Research, and Industry Association (IARIA) , 2023, p. 39-43Conference paper, Published paper (Refereed)
Abstract [en]

Recent developments using extended reality (XR) technologies have allowed for increased use in healthcare in the last few years. This review paper explores how XR applications are utilized in home-based nursing education, in particular, to identify future challenges and opportunities. The systematic literature review evaluates relevant extracted papers based on publication information, XR technology used for education purposes, target users, and study design and evaluation, including sample size. The results show potential for using XR technologies in home-based nursing education. In particular, Virtual Reality (VR) has become quite popular and the most used to date. However, Augmented Reality (AR) has also emerged as an alternative for the future.

Place, publisher, year, edition, pages
International Academy, Research, and Industry Association (IARIA), 2023
National Category
Computer Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-25602 (URN)9781685581053 (ISBN)
Conference
HEALTHINFO 2023 : The Eighth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, Valencia, 13/11 - 17/11 2023
Funder
Knowledge Foundation, 20220068
Available from: 2023-11-13 Created: 2023-11-13 Last updated: 2023-12-28Bibliographically approved
Goswami, P., Johansson, H. & Cheddad, A. (2023). Animated lightning bolt generation using machine learning. In: 12th International Conference on Image Processing Theory, Tools and Applications, IPTA 2023: . Paper presented at 12th International Conference on Image Processing Theory, Tools and Applications, IPTA 2023, Paris, 16 October through 19 October 2023. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Animated lightning bolt generation using machine learning
2023 (English)In: 12th International Conference on Image Processing Theory, Tools and Applications, IPTA 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we investigate the possibility of leveraging the predictive power of machine learning to generate animated lightning bolts in the image space efficiently. To this end, we selected state-of-the-art machine learning architectures based on Generative Adversarial Network (GAN) and trained them on the commonly available videos. We demonstrate that visually convincing animations are achievable even when employing a limited dataset. The visual realism of the generated sequences of lightning bolts is assessed by conducting a user study on the participants.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
lightning, animation, GAN, machine learning
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-25819 (URN)10.1109/IPTA59101.2023.10320085 (DOI)2-s2.0-85179547685 (Scopus ID)9798350325416 (ISBN)
Conference
12th International Conference on Image Processing Theory, Tools and Applications, IPTA 2023, Paris, 16 October through 19 October 2023
Available from: 2023-12-27 Created: 2023-12-27 Last updated: 2024-01-05Bibliographically approved
Jagtap, S. & Goswami, P. (2023). Design of Artificial Intelligence-Based Products: Barriers and Enablers. In: Amaresh Chakrabarti, Vishal Singh (Ed.), Amaresh Chakrabarti, Vishal Singh (Ed.), Design in the Era of Industry 4.0, Volume 3: Proceedings of ICoRD 2023. Paper presented at 15th ICORD Conference 6th – 7th February 2023 (pp. 647-658). Springer
Open this publication in new window or tab >>Design of Artificial Intelligence-Based Products: Barriers and Enablers
2023 (English)In: Design in the Era of Industry 4.0, Volume 3: Proceedings of ICoRD 2023 / [ed] Amaresh Chakrabarti, Vishal Singh, Springer, 2023, p. 647-658Conference paper, Published paper (Refereed)
Abstract [en]

Artificial Intelligence (AI) embodied products are becoming ubiquitous in the modern world. Organizations are hence updating themselves to design and develop such products. In this paper, we aim at identifying enablers and barriers in designing such products across several sectors. Our analysis of a broad range of literature in this field allowed us to identify these enablers and barriers. We have developed SOTCUT and SEECUT models representing these enablers and barriers. We have discussed implication of the findings for the practice of designing AI-embodied products.

Place, publisher, year, edition, pages
Springer, 2023
Series
Smart Innovation, Systems and Technologies book series (SIST), ISSN 2190-3026
Keywords
Artificial intelligence (AI), Design practice, Barriers, Enablers
National Category
Computer Sciences Design
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-25201 (URN)10.1007/978-981-99-0428-0_53 (DOI)
Conference
15th ICORD Conference 6th – 7th February 2023
Available from: 2023-07-28 Created: 2023-07-28 Last updated: 2023-12-28Bibliographically approved
Sundstedt, V., Boeva, V., Zepernick, H.-J., Goswami, P., Cheddad, A., Tutschku, K., . . . Arlos, P. (2023). HINTS: Human-Centered Intelligent Realities. In: Håkan Grahn, Anton Borg and Martin Boldt (Ed.), 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023: . Paper presented at 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Karlskrona, June 12-13, 2023 (pp. 9-17). Linköping University Electronic Press
Open this publication in new window or tab >>HINTS: Human-Centered Intelligent Realities
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2023 (English)In: 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023 / [ed] Håkan Grahn, Anton Borg and Martin Boldt, Linköping University Electronic Press, 2023, p. 9-17Conference paper, Published paper (Refereed)
Abstract [en]

During the last decade, we have witnessed a rapiddevelopment of extended reality (XR) technologies such asaugmented reality (AR) and virtual reality (VR). Further, therehave been tremendous advancements in artificial intelligence(AI) and machine learning (ML). These two trends will havea significant impact on future digital societies. The vision ofan immersive, ubiquitous, and intelligent virtual space opensup new opportunities for creating an enhanced digital world inwhich the users are at the center of the development process,so-calledintelligent realities(IRs).The “Human-Centered Intelligent Realities” (HINTS) profileproject will develop concepts, principles, methods, algorithms,and tools for human-centered IRs, thus leading the wayfor future immersive, user-aware, and intelligent interactivedigital environments. The HINTS project is centered aroundan ecosystem combining XR and communication paradigms toform novel intelligent digital systems.HINTS will provide users with new ways to understand,collaborate with, and control digital systems. These novelways will be based on visual and data-driven platforms whichenable tangible, immersive cognitive interactions within realand virtual realities. Thus, exploiting digital systems in a moreefficient, effective, engaging, and resource-aware condition.Moreover, the systems will be equipped with cognitive featuresbased on AI and ML, which allow users to engage with digitalrealities and data in novel forms. This paper describes theHINTS profile project and its initial results. ©2023, Copyright held by the authors   

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2023
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 199
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:bth-25413 (URN)10.3384/ecp199001 (DOI)9789180752749 (ISBN)
Conference
35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Karlskrona, June 12-13, 2023
Funder
Knowledge Foundation, 20220068
Available from: 2023-09-22 Created: 2023-09-22 Last updated: 2023-12-28Bibliographically approved
Goswami, P., Cheddad, A., Junede, F. & Asp, S. (2023). Interactive landscape–scale cloud animation using DCGAN. Frontiers in Computer Science, 5, Article ID 957920.
Open this publication in new window or tab >>Interactive landscape–scale cloud animation using DCGAN
2023 (English)In: Frontiers in Computer Science, E-ISSN 2624-9898, Vol. 5, article id 957920Article in journal (Refereed) Published
Abstract [en]

This article presents an interactive method for 3D cloud animation at the landscape scale by employing machine learning. To this end, we utilize deep convolutional generative adversarial network (DCGAN) on GPU for training on home-captured cloud videos and producing coherent animation frames. We limit the size of input images provided to DCGAN, thereby reducing the training time and yet producing detailed 3D animation frames. This is made possible through our preprocessing of the source videos, wherein several corrections are applied to the extracted frames to provide an adequate input training data set to DCGAN. A significant advantage of the presented cloud animation is that it does not require any underlying physics simulation. We present detailed results of our approach and verify its effectiveness using human perceptual evaluation. Our results indicate that the proposed method is capable of convincingly realistic 3D cloud animation, as perceived by the participants, without introducing too much computational overhead.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2023
Keywords
cloud animation, deep convolutional generative adversarial networks (DCGAN), multimedia (image/video/music), machine learning, image processing
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-24355 (URN)10.3389/fcomp.2023.957920 (DOI)000954548500001 ()2-s2.0-85150491207 (Scopus ID)
Available from: 2023-03-08 Created: 2023-03-08 Last updated: 2023-12-28Bibliographically approved
Rosenholm, L., Goswami, P. & Jagtap, S. (2022). Design of (Semi-)Autonomous Vehicles: Perceptions of the People in Sweden. In: Proceedings of the Design Society: Volume 2: DESIGN2022. Paper presented at Proceedings of the Design Society (pp. 1719-1726). Cambridge University Press, 2
Open this publication in new window or tab >>Design of (Semi-)Autonomous Vehicles: Perceptions of the People in Sweden
2022 (English)In: Proceedings of the Design Society: Volume 2: DESIGN2022, Cambridge University Press, 2022, Vol. 2, p. 1719-1726Conference paper, Published paper (Refereed)
Abstract [en]

The field of autonomous vehicles is gaining wide recognition in the industry, academia as well as socialmedia. However, there is a lack of knowledge on expectations of people regarding this topic. To this end,this paper analyses extant research on perceptions of people in various countries about semi-autonomous andautonomous vehicles. Secondly, based on the findings of this analysis, we developed a questionnaire togauge the perceptions of the people in Sweden regarding such vehicles. The findings have important implications for the design of AVs in Sweden, and possibly other countries.

Place, publisher, year, edition, pages
Cambridge University Press, 2022
Series
Proceedings of the Design Society, E-ISSN 2732-527X
Keywords
autonomous vehicles, artificial intelligence (AI), ethics, user-centred design
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-23144 (URN)10.1017/pds.2022.174 (DOI)
Conference
Proceedings of the Design Society
Note

open access

Available from: 2022-06-15 Created: 2022-06-15 Last updated: 2023-12-28Bibliographically approved
Goswami, P., Nordin, A. & Nylén, S. (2022). Iterative discrete element solver for efficient snow simulation. In: R.. Bujack, J. Tierny, F. Sadlo (Ed.), EGPGV 2022 – Eurographics Symposium on Parallel Graphics and Visualization: . Paper presented at Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Rome, June 13.
Open this publication in new window or tab >>Iterative discrete element solver for efficient snow simulation
2022 (English)In: EGPGV 2022 – Eurographics Symposium on Parallel Graphics and Visualization / [ed] R.. Bujack, J. Tierny, F. Sadlo, 2022Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel Discrete Element Method (DEM) on the GPU for efficient snow simulation. To this end, our approach employs an iterative scheme on particles that easily allows the snow density to vary vastly for simulation while still maintaining a relatively large time step. We provide computationally inexpensive ways to capture cohesion and compression in the snow that enables us to generalize the behavior of various kinds of snow (like dry, wet, etc.) by varying physical parameters within the same simulator. We achieve a speed-up of nearly eight times with one million snow particles over the existing real-time method, even while dealing with scenes containing complex object boundaries. Furthermore, our simulator not only retains stability at these large time steps but also improves upon the physical behavior of the existing method. We have also conducted a user evaluation of our approach, where a majority of the participants voted in favor of its realism value for computer games.

Keywords
physical simulation, snow, GPU
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-23145 (URN)
Conference
Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), Rome, June 13
Available from: 2022-06-15 Created: 2022-06-15 Last updated: 2023-12-28Bibliographically approved
Enfeldt, V. & Goswami, P. (2021). A Polarizing Filter Function forReal-Time Rendering. Journal of Computer Graphics Techniques, 10(2), 59-82
Open this publication in new window or tab >>A Polarizing Filter Function forReal-Time Rendering
2021 (English)In: Journal of Computer Graphics Techniques, Vol. 10, no 2, p. 59-82Article in journal (Refereed) Published
Abstract [en]

We present a function that can be used in conventional non-polarizing renderers to simulate thereflection-altering visual effects of real polarizing filters, without having to replace the existinglight and surface representations. The relevant Stokes-Mueller polarization calculations aresimplified so that neither Stokes vectors nor Mueller matrices are needed in the finishedimplementation. Our function approximates the surface’s complex refractive index with itsspecular color, and the accuracy of this approximation is demonstrated with some commonconductor materials; no approximation needs to be made for dielectric materials. As ourfunction only affects specularly reflected light, it cannot simulate all the visual effects producedby real polarizing filters, only the reflection-reducing ones. We show the visual effects of ourfilter function and measure its execution time in a real-time rendered application. The function’scorrectness is verified by comparing it with a filter implemented in a polarizing offline renderer.HLSL source code is provided for the real-time implementation.

Keywords
computer graphics, polarization, light, real-time
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:bth-21702 (URN)
Note

open access

Available from: 2021-06-18 Created: 2021-06-18 Last updated: 2023-12-28Bibliographically approved
Goswami, P. (2021). A survey of modeling, rendering and animation of clouds in computer graphics. The Visual Computer, 37(7), 1931-1948
Open this publication in new window or tab >>A survey of modeling, rendering and animation of clouds in computer graphics
2021 (English)In: The Visual Computer, ISSN 0178-2789, E-ISSN 1432-2315, Vol. 37, no 7, p. 1931-1948Article in journal (Refereed) Published
Abstract [en]

Clouds play an important role in enhancing the realism of outdoor scenes in computer graphics (CG). Realistic cloud generation is a challenging task, which entails processes such as modeling, photorealistic rendering and simulation of the clouds. To these ends, several techniques have been proposed within the CG community in the last 4 decades with one or more of the above stated focuses. The growth of modern hardware has also enabled development of techniques that can achieve cloud display and animation at interactive frame rates. In this survey, we review the prominent work in the domain and also summarize the evolution of the research over the time. © 2020, The Author(s).

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2021
Keywords
Clouds, Modeling, Rendering, Animation
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:bth-20298 (URN)10.1007/s00371-020-01953-y (DOI)2-s2.0-85089447514 (Scopus ID)
Note

Open access

Available from: 2020-08-17 Created: 2020-08-17 Last updated: 2023-12-28Bibliographically approved
Peng, C., Goswami, P. & Bai, G. (2020). A literature review of current technologies on health data integration for patient-centered health management. Health Informatics Journal, 26(3), 1926-1951
Open this publication in new window or tab >>A literature review of current technologies on health data integration for patient-centered health management
2020 (English)In: Health Informatics Journal, ISSN 1460-4582, E-ISSN 1741-2811, Vol. 26, no 3, p. 1926-1951Article, review/survey (Refereed) Published
Abstract [en]

Health data integration enables a collaborative utilization of data across different systems. It not only provides a comprehensive view of a patient’s health but can also potentially cope with challenges faced by the current healthcare system. In this literature review, we investigated the existing work on heterogeneous health data integration as well as the methods of utilizing the integrated health data. Our search was narrowed down to 32 articles for analysis. The integration approaches in the reviewed articles were classified into three classifications, and the utilization approaches were classified into five classifications. The topic of health data integration is still under debate and problems are far from being resolved. This review suggests the need for a more efficient way to invoke the various services for aggregating health data, as well as a more effective way to integrate the aggregated health data for supporting collaborative utilization. We have found that the combination of Web Application Programming Interface and Semantic Web technologies has the potential to cope with the challenges based on our analysis of the review result.

Place, publisher, year, edition, pages
Sage Publications, 2020
Keywords
health data collaborative utilization, health data integration, health data management, interoperability, patient-centered care, self-management
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-19074 (URN)10.1177/1460458219892387 (DOI)000507099100001 ()31884843 (PubMedID)2-s2.0-85077381598 (Scopus ID)
Note

open access

Available from: 2020-01-06 Created: 2020-01-06 Last updated: 2023-12-28Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-6920-9983

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