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  • 1.
    Alonso-Fernandez, Fernando
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Farrugia, Reuben
    University of Malta, Msida, Malta.
    Bigun, Josef
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Very Low-Resolution Iris Recognition Via Eigen-Patch Super-Resolution and Matcher Fusion2016In: 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), Piscataway: IEEE, 2016, article id 7791208Conference paper (Refereed)
    Abstract [en]

    Current research in iris recognition is moving towards enabling more relaxed acquisition conditions. This has effects on the quality of acquired images, with low resolution being a predominant issue. Here, we evaluate a super-resolution algorithm used to reconstruct iris images based on Eigen-transformation of local image patches. Each patch is reconstructed separately, allowing better quality of enhanced images by preserving local information. Contrast enhancement is used to improve the reconstruction quality, while matcher fusion has been adopted to improve iris recognition performance. We validate the system using a database of 1,872 near-infrared iris images. The presented approach is superior to bilinear or bicubic interpolation, especially at lower resolutions, and the fusion of the two systems pushes the EER to below 5% for down-sampling factors up to a image size of only 13×13.

  • 2.
    Guzmán Bacarreza, Victor
    et al.
    Halmstad University, School of Business, Innovation and Sustainability.
    Andersson, Claes
    Halmstad University, School of Business, Innovation and Sustainability.
    INTI: En automatiserad ljudupplevelse2021Independent thesis Basic level (professional degree), 15 credits / 22,5 HE creditsStudent thesis
    Abstract [en]

    The thesis INTI was founded by the members of the project, because they had a great common interest for development of smart electronic products, which today is classified as smart home products. The founders used their experience and knowledge that they had acquired in their three years at Halmstad University. INTI falls nothing short of the expectations they had prior to the start of the project. It will simplify everyday living and enhance comfort in one's own home by using location recognition.

    Today, there is a lot of competition between different markets that integrate with smart home products. Such as audio products, light units and security products. INTI is an automated solution where programming modules can identify the user’s location in order to create a system network. By identifying the location of the user, it’s possible to configurate the sound system and establish a follow-around system. The primary goal with this thesis is to connect the INTI system with two speakers and attain a functional follow-around system that adjust the volume according to the user’s position. The purpose of the thesis is to create a unique system that is affordable by todays standard and alleviate everyday life for the private consumer.

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  • 3.
    Malmqvist, K.
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Malmqvist, L.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Verikas, Antanas
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Bergman, L.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    A new method for colour measurements in multicolour newspaper pictures and its use for ink feed control1996In: 1996 INTERNATIONAL PRINTING & GRAPHIC ARTS CONFERENCE, 1996, p. 181-185Conference paper (Refereed)
  • 4.
    Nugent, Christopher
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. University of Ulster, Jordanstown, North Ireland.
    Synnott, Jonathan
    University of Ulster, Jordanstown, North Ireland.
    Gabrielli, Celeste
    Marche Polytechnic University, Ancona, Italy.
    Zhang, Shuai
    University of Ulster, Jordanstown, North Ireland.
    Espinilla, Macarena
    University of Jaén, Jaen, Spain..
    Calzada, Alberto
    University of Ulster, Jordanstown, North Ireland.
    Lundström, Jens
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Cleland, Ian
    University of Ulster, Jordanstown, North Ireland.
    Synnes, Kare
    Luleå university of Technology, Luleå, Sweden.
    Hallberg, Josef
    Luleå university of Technology, Luleå, Sweden.
    Spinsante, Susanna
    Marche Polytechnic University, Ancona, Italy.
    Ortiz Barrios, Miguel Angel
    Universidad de la Costa CUC, Barranquilla, Colombia.
    Improving the Quality of User Generated Data Sets for Activity Recognition2016In: Ubiquitous Computing and Ambient Intelligence, UCAMI 2016, PT II / [ed] Garcia, CR CaballeroGil, P Burmester, M QuesadaArencibia, A, Amsterdam: Springer Publishing Company, 2016, p. 104-110Conference paper (Refereed)
    Abstract [en]

    It is fully appreciated that progress in the development of data driven approaches to activity recognition are being hampered due to the lack of large scale, high quality, annotated data sets. In an effort to address this the Open Data Initiative (ODI) was conceived as a potential solution for the creation of shared resources for the collection and sharing of open data sets. As part of this process, an analysis was undertaken of datasets collected using a smart environment simulation tool. A noticeable difference was found in the first 1-2 cycles of users generating data. Further analysis demonstrated the effects that this had on the development of activity recognition models with a decrease of performance for both support vector machine and decision tree based classifiers. The outcome of the study has led to the production of a strategy to ensure an initial training phase is considered prior to full scale collection of the data.

  • 5.
    Olsson, Anton
    et al.
    Halmstad University, School of Education, Humanities and Social Science.
    Jeppsson, Alexander
    Halmstad University, School of Education, Humanities and Social Science.
    Kvarnström, Ebba
    Halmstad University, School of Education, Humanities and Social Science.
    Digitala lärspel i matematikundervisningen: En litteraturstudie om digitala lärspels påverkan på elevernas motivation och lärande2023Independent thesis Advanced level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    Digitala inslag har idag en stor roll i skolan, men inom matematik klamrar lärare sig fast vid traditionella undervisningsmetoder. Samtidigt tryter motivationen för matematik hos mellanstadieelever. För att öka motivationen inom matematik uppmanas lärare att utgå från elevernas intresse. Undersökningar visar att en stor majoritet av barn i åldrarna 9–12 år spelar digitala spel dagligen. Det finns därmed ett intresse hos eleverna som matematikämnet kan ta vara på. Syftet med denna litteraturstudie är att granska vad forskningen säger kring digitala lärspels påverkan på mellanstadieelevers motivation och lärande inom matematik. Detta för att synliggöra om digitala lärspel har förutsättningar att vara en central del i matematikundervisningen i årskurs 4–6. För att undersöka vad forskning säger inom området genomfördes en litteraturöversikt där sökningarna genererade elva vetenskapliga artiklar. Utifrån dessa artiklar genomfördes en tematisk analys som synliggör att majoriteten av de granskade artiklarna visar att digitala lärspel har en positiv påverkan på elevernas lärande, medan en knapp majoritet visar positivt för elevernas motivation. I vilken utsträckning det digitala lärspelet påverkar elevernas lärande och motivation beror på en rad olika faktorer och samspelet mellan dessa.

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  • 6.
    Pink, Sarah
    et al.
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). RMIT University, Melbourne, Australia.
    Ruckenstein, Minna
    University of Helsinki, Helsinki, Finland.
    Willim, Robert
    Lund University, Lund, Sweden.
    Duque, Melisa
    RMIT University, Melbourne, Australia.
    Broken data: Conceptualising data in an emerging world2018In: Big Data and Society, ISSN 2053-9517, E-ISSN 2053-9517, Vol. 5, no 1Article in journal (Refereed)
    Abstract [en]

    In this article, we introduce and demonstrate the concept-metaphor of broken data. In doing so, we advance critical discussions of digital data by accounting for how data might be in processes of decay, making, repair, re-making and growth, which are inextricable from the ongoing forms of creativity that stem from everyday contingencies and improvisatory human activity. We build and demonstrate our argument through three examples drawn from mundane everyday activity: the incompleteness, inaccuracy and dispersed nature of personal self-tracking data; the data cleaning and repair processes of Big Data analysis and how data can turn into noise and vice versa when they are transduced into sound within practices of music production and sound art. This, we argue is a necessary step for considering the meaning and implications of data as it is increasingly mobilised in ways that impact society and our everyday worlds.

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  • 7.
    Saleban, Zakeria Mohamed
    et al.
    Halmstad University, School of Information Technology.
    van Weiden, Jesse
    Halmstad University, School of Information Technology.
    Kan bildgenererande AI stötta konstnärer?: En kvalitativ studie om hur bildgenererande AI kan vara stöttande i konstnärers kreativa process2023Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Artificial intelligence (AI) is increasingly becoming a part of people's daily lives. One area where it has recently been used is in image generation and art creation. As AI technology for image generation is new, little research has been done on how it may affect artists. Previous digital advancements, that led to tools such as Photoshop, have expanded how artists can create art and streamlined their creative process. Image-generating AI, unlike previous tools like Photoshop, can generate its own images based on user input. This raises interest in understanding how image-generating AI may potentially impact artists' creative process.

    The study aims to explore how image-generating AI can support artists in the creative process.

    The study used a qualitative approach to delve into the subject area and answer the research question. A literature review investigating relevant topics within the subject area was conducted, resulting in three aspects, control, co-creation, and idea generation. Control was important in supporting users' utilization of AI for their purposes. Co-creation and idea generation were important pillars that support the creative process. These aspects formed the basis for the empirical study. The empirical study consisted of a seven-day diary study where artists were given the opportunity to try three different types of image-generating AI. The diary study was complemented with interviews with the study participants to gain a deeper understanding of how image-generating AI could support their creative process.

    The study's results show that image-generating AI can be used to support artists' creative process when used as inspiration. In addition, three prerequisites were identified that need to be met for artists to be able to use image-generating AI in their creative process.

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  • 8.
    Sequeira, Ana F.
    et al.
    University of Reading, Reading, United Kingdom.
    Chen, Lulu
    University of Reading, Reading, United Kingdom.
    Wild, Peter
    AIT Austrian Institute of Technology, Vienna, Austria.
    Ferryman, James
    University of Reading, Reading, United Kingdom.
    Alonso-Fernandez, Fernando
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Bigun, Josef
    Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
    Raja, Kiran B.
    Norwegian Biometrics Laboratory, NTNU, Gjøvik, Norway.
    Raghavendra, R.
    Norwegian Biometrics Laboratory, NTNU, Gjøvik, Norway.
    Busch, Christoph
    Norwegian Biometrics Laboratory, NTNU, Gjøvik, Norway.
    Cross-Eyed: Cross-Spectral Iris/Periocular Recognition Database and Competition2016In: Proceedings of the 15th International Conference of the Biometrics Special Interest Group / [ed] Arslan Brömme, Christoph Busch, Christian Rathgeb & Andreas Uhl, Piscataway, N.J.: IEEE, 2016Conference paper (Refereed)
    Abstract [en]

    This work presents a novel dual-spectrum database containing both iris and periocular images synchronously captured from a distance and within a realistic indoor environment. This database was used in the 1st Cross-Spectrum Iris/Periocular Recognition Competition (Cross-Eyed 2016). This competition aimed at recording recent advances in cross- spectrum iris and periocular recognition. Six submissions were evaluated for cross-spectrum periocular recognition, and three for iris recognition. The submitted algorithms are briefly introduced. Detailed results are reported in this paper, and comparison of the results is discussed.

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1 - 8 of 8
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