• Action Recognition in Real Homes using Low Resolution Depth Video Data 

      Casagrande, Flavia Dias; Nedrejord, Oda Olsen; Lee, Wonho; Zouganeli, Evi (Annual IEEE Symposium on Computer-Based Medical Systems;2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Conference object; Journal article; Peer reviewed, 2019-08-05)
      We report work in progress from interdisciplinary research on Assisted Living Technology in smart homes for older adults with mild cognitive impairments or dementia. We present our field trial, the set-up for collecting ...
    • Activity Recognition and Prediction in Real Homes 

      Casagrande, Flavia Dias; Zouganeli, Evi (Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings;, Chapter; Peer reviewed, 2019)
      In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, ...
    • Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (International Joint Conference on Neural Networks (IJCNN); 2019 International Joint Conference on Neural Networks (IJCNN), Journal article; Conference object; Peer reviewed, 2019-09-30)
      We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ...
    • Involving older adults in technology research and development discussions through dialogue cafés 

      Lund, Anne; Holthe, Torhild; Halvorsrud, Liv Torill; Karterud, Dag; Johannessen, Adele Flakke; Lovett, Hilde; Thorstensen, Erik; Casagrande, Flavia Dias; Zouganeli, Evi; Norvoll, Reidun; Forsberg, Ellen Marie (Research Involvement and Engagement;7:26, Peer reviewed; Journal article, 2021-05-10)
      Abstract Background: Citizen involvement is important for ensuring the relevance and quality of many research and innovation efforts. Literature shows that inadequate citizen involvement poses an obstacle during the research, ...
    • Involving older adults in technology research and development discussions through dialogue cafés 

      Lund, Anne; Holthe, Torhild; Halvorsrud, Liv Torill; Karterud, Dag; Flakke-Johannessen, Adele; Lovett, Hilde; Thorstensen, Erik; Casagrande, Flavia Dias; Zouganeli, Evi; Norvoll, Reidun; Forsberg, Ellen-Marie (Peer reviewed; Journal article, 2021)
      Citizen involvement is important for ensuring the relevance and quality of many research and innovation efforts. Literature shows that inadequate citizen involvement poses an obstacle during the research, development, and ...
    • Is RRI a new R&I logic? A reflection from an integrated RRI project. 

      Forsberg, Ellen-Marie; Thorstensen, Erik; Casagrande, Flavia Dias; Holthe, Torhild; Halvorsrud, Liv Torill; Lund, Anne; Zouganeli, Evi (Journal of Responsible Technology;Volume 5, 100007, Journal article; Peer reviewed, 2020-12-04)
      This article presents an analysis of a project in the field of assisted living technologies (ALT) for older adults where Responsible Research and Innovation (RRI) is used as an overall approach to the research and technology ...
    • Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks 

      Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (IEEE Symposium Series on Computational Intelligence (SSCI);, Chapter; Peer reviewed, 2020-02-20)
      In the brain, the structure of a network of neurons defines how these neurons implement the computations that underlie the mind and the behavior of animals and humans. Provided that we can describe the network of neurons ...
    • Occupancy and daily activity event modelling in smart homes for older adults with mild cognitiveiImpairment or dementia 

      Casagrande, Flavia Dias; Zouganeli, Evi (Linköping Electronic Conference Proceedings;153, Chapter; Peer reviewed, 2018)
      In this paper we present event anticipation and prediction of sensor data in a smart home environment with a limited number of sensors. Data is collected from a real home with one resident. We apply two state-of-the-art ...
    • Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (IEEE Access;Volume 7, Journal article; Peer reviewed, 2019-08-08)
      We present a comprehensive study of state-of-the-art algorithms for the prediction of sensor events and activities of daily living in smart homes. Data have been collected from eight smart homes with real users and 13-17 ...
    • Project-based learning in programming classes the effect of open project scope on student motivation and learning outcome 

      Zouganeli, Evi; Tyssø, Veslemøy; Feng, Boning; Arnesen, Kjell; Kapetanovic, Nihad (Elsevier IFAC Publications;19, Journal article; Peer reviewed, 2014)
      In this paper we report on the use of project-based learning in teaching a second-year course in Electrical Engineering that comprises learning to program in LabVIEW a graphical programming language and a basic ...
    • Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults 

      Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (2018 International Conference on Intelligent Systems (IS);, Chapter; Chapter; Peer reviewed, 2018)
      We present preliminary results on sensor data prediction in a smart home environment with a limited number of binary sensors. The data has been collected from a real home with one resident over a period of 17 weeks. We ...