Blar i TKD - Institutt for informasjonsteknologi på tittel

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    • The Usability of Training Apps for Older Adults – A Heuristic Evaluation 

      Kaur, Amrat; Chen, Weiqin (Chapter; Peer reviewed; Conference object; Journal article, 2022)
      The literature has shown that normal ageing is associated with a de-cline in sensory, perceptual, motor, and cognitive abilities. Physical activities and cognitive training are considered beneficial for maintaining functional ...

    • Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis 

      Storås, Andrea; Andersen, Ole Emil; Lockhart, Sam; Thielemann, Roman; Gnesin, Filip; Thambawita, Vajira L B; Hicks, Steven; Kanters, Jørgen K.; Strumke, Inga; Halvorsen, Pål; Riegler, Michael (Peer reviewed; Journal article, 2023)
      Deep neural networks are complex machine learning models that have shown promising results in analyzing high-dimensional data such as those collected from medical examinations. Such models have the potential to provide ...

    • User Identification based on Touch Dynamics 

      Sandnes, Frode Eika; Zhang, Xiaoli (Chapter; Peer reviewed, 2012-09)
      Touch interaction has quickly become the de-facto means of interacting with handheld devices due to its perceived attractiveness and low hardware cost. This study proposes a strategy for identifying users based on touch ...

    • User Interface Design for Public Kiosks : an Evaluation of the Taiwan High Speed Rail Ticket Vending Machine 

      Sandnes, Frode Eika; Jian, Hua-Li; Huang, Yo-Ping; Huang, Yueh-Min (Journal of information science and engineering;26 (1), Journal article; Peer reviewed, 2010)
      Low hardware costs and high staffing costs have resulted in an increase in public information and transaction kiosks. Ticket vending machines are one important subset of such kiosks. These machines must offer efficient ...

    • User interface evaluation of a ski injuries management system 

      Dalipi, Fisnik; Ferati, Mexhid; Yildirim, Sule (Journal article; Peer reviewed, 2017)
      Although many technological devices and solutions to enhance the skiing experience are now available for skiers, skiing sometimes could turn to be potentially dangerous. The speed of movement, environment unpredictability, ...

    • User interfaces in dark mode during daytime: Improved productivity or just cool-looking? 

      Pedersen, Lasse Apalnes; Einarsson, Svavar Skuli; Rikheim, Fredrik Arne; Sandnes, Frode Eika (Lecture Notes in Computer Science;Volume 12188, Peer reviewed, 2020)
      Applications are increasingly coming equipped with a so-called dark mode. Our observation is that many computer enthusiasts are under the impression that dark mode in a way is better than the traditional light mode. This ...

    • A User-Centered Approach to Digital Household Risk Management 

      Paupini, Cristina; Giannoumis, G. Anthony; Gjøsæter, Terje (Communications in Computer and Information Science;Volume 1226, Journal article; Peer reviewed, 2020-07-10)
      Internet of Things (IoT) is expected to become as common as electricity (OECD 2016) and there is a high probability for connected homes to become central parts of critical societal. IoT technologies might access, manage ...

    • User-centred Design For a not Straightforward University Wayfinding 

      Picazo, Javier Poves; Hazenoot, Amber; Otaduy, Celia Martínez; Braux, Marie; Bong, Way Kiat (E&PDE;DS 104, Conference object, 2020)
      OsloMet - Oslo Metropolitan University receives thousands of students and visitors annually. Its main campus consists of many buildings in which students, staff and visitors navigate. Unfortunately, navigating around the ...

    • Users Perceptions of Headphones and Earbuds in Norway and Brazil: An Empirical Study Based on a Kahoot Quiz 

      Figliolia, Amanda Coelho; Sandnes, Frode Eika; Medola, Fausto Orsi (Lecture Notes in Computer Science;12768, Conference object, 2021-07-03)
      Headphones and earbuds are seemingly more popular than ever with the wide availability of smartphones and music streaming services. Such personal audio systems are also essential for many blind and visually impaired computer ...

    • Users’ Satisfaction with an Assistive Device and Quality of Life: A preliminary study on lower limb prosthetics 

      Garcez, Letícia Vasconcelos Morais; Rodrigues, Ana Claudia Tavares; Medola, Fausto Orsi; Baleotti, Luciana Ramos; Sandnes, Frode Eika; Vaezipour, Atiyeh (Chapter; Peer reviewed, 2022)
      Quality of life refers to the individual perception of each person regarding their objectives, expectations and achievements, according to their stage of life and contexts of material, physical, emotional and social ...

    • Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events 

      Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (International Journal of Semantic Computing (IJSC);Volume 15, Issue 02, Peer reviewed; Journal article, 2021)
      Developing systems for the automatic detection of events in video is a task which has gained attention in many areas including sports. However, there are still a number of shortcomings with current systems, such as high ...

    • Using Fuzzy Systems to Infer Memory Impairment from MRI 

      Huang, Yo-Ping; Zaza, Samuele M. M.; Chu, Wen-Jang; Krikorian, Robert; Sandnes, Frode Eika (International Journal of Fuzzy Systems;March 2018, Volume 20, Issue 3, Journal article; Peer reviewed, 2017-11-21)
      Alzheimer’s Disease (AD) is a common form of dementia which mostly affects elderly people. Gradual loss in memory and declining cognitive functions are core symptoms associated with AD. Conventional brain images do not ...

    • Using Local, Contextual, and Deep Convolutional Neural Network Features in Image Registration 

      Shrestha, Raju (International Conference on Computer Modeling and Simulation;ICCMS '20: Proceedings of the 12th International Conference on Computer Modeling and Simulation, Conference object, 2020-06)
      Image registration is a well-known problem that arises in many applications in the fields of computer vision, remote sensing, and medical imaging. Many registration methods have been proposed in the literature. However, no ...

    • Using MOOCs to promote digital accessibility and universal design, the MOOCAP experience 

      Gilligan, John; Chen, Weiqin; Darzentas, Jenny (Studies in Health Technology and Informatics;256, Journal article; Peer reviewed, 2018)
      The recently completed Massive Open Online Course for Accessibility Partnership project (MOOCAP), had the twin aims of establishing a strategic partnership around the promotion of Universal Design and Accessibility for ...

    • Using non-speech sounds to increase web image accessibility for screen-reader users 

      Thapa, Ratan Bahadur; Ferati, Mexhid; Giannoumis, G. Anthony (Chapter; Peer reviewed, 2017)
      Screen-reader users access images on the Web using alternative text delivered via synthetic speech. However, research shows that this is a tedious and unsatisfying experience for blind users, because text-to-speech ...

    • Using Smartphones as Magnifying Devices: A Comparison of Reading Surface Finger Tracking and Device Panning 

      Shirehjini, Alireza Shoaei; Sandnes, Frode Eika (PETRA: Pervasive Technologies Related to Assistive Environments; PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, Conference object, 2020-06)
      Smartphones can be used as magnifying devices to compensate for low visual acuity. However, it can be challenging to pan both vertically and horizontally. To simplify panning we implemented a magnifier where the user moves ...

    • Using the Hurst Exponent and Entropy Measures to Predict Effective Transmissibility in Empirical Series of Malaria Incidence 

      Sequeira, Joao; Louca, Jorge; Mendes, Antonio; Lind, Pedro (Applied Sciences;Volume 12 / Issue 1, Peer reviewed; Journal article, 2022-01-05)
      We analyze the empirical series of malaria incidence, using the concepts of autocorrelation, Hurst exponent and Shannon entropy with the aim of uncovering hidden variables in those series. From the simulations of an agent ...

    • Using Tsetlin Machine to discover interpretable rules in natural language processing applications 

      Saha, Rupsa; Granmo, Ole-Christoffer; Goodwin, Morten (Expert systems;, Peer reviewed; Journal article, 2021)
      Tsetlin Machines (TM) use finite state machines for learning and propositional logic to represent patterns. The resulting pattern recognition approach captures information in the form of conjunctive clauses, thus facilitating ...

    • Using Type-2 Fuzzy Models to Detect Fall Incidents and Abnormal Gaits Among Elderly 

      Huang, Yo-Ping; Liu, Wei-Heng; Chen, Szu-Ying; Sandnes, Frode Eika (Proceedings of System, Man and Cybernetics Conference SMC;2013, Chapter; Peer reviewed, 2013)
      — June 2012, 11% of the overall population in Taiwan was over the age of 65. This ratio is higher than the average figure for the United Nations (8%) . Critical issues concerning elderly in healthcare include fall ...

    • Using virtual reality and rapid prototyping to co-create together with hospitalized children 

      Usó, Vanessa Ghiraldeli; Sandnes, Frode Eika; Medola, Fausto Orsi (Advances in Intelligent Systems and Computing;volume 975, Chapter; Chapter; Peer reviewed, 2020-06-05)
      This study reports on a social project involving a collaborative process to co-create toys together with hospitalized children, using Virtual Reality, play practices and 3D Printing technologies. The project had two main ...