Recent Submissions

  • Personalised human activity recognition using matching networks. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer, 2018-07-09)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. [2018]. Personalised human activity recognition using matching networks. Lecture notes in computer science [online], Proceedings of the 26th international conference on case-based reasoning 2018 (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], (accepted).
    Human Activity Recognition (HAR) is typically modelled as a classification task where sensor data associated with activity labels are used to train a classifier to recognise future occurrences of these activities. An ...
  • Improving kNN for human activity recognition with privileged learning using translation models. 

    Wijekoon, Anjana; Wiratunga, Nirmalie; Sani, Sadiq; Massie, Stewart; Cooper, Kay (Springer, 2018-07-09)
    WIJEKOON, A., WIRATUNGA, N., SANI, S., MASSIE, S. and COOPER, K. [2018]. Improving kNN for human activity recognition with privileged learning using translation models. Lecture notes in computer science [online], Proceedings of the 26th international conference on case-based reasoning 2018 (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], (accepted).
    Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is preferred by consumers as it is more convenient and less intrusive. This presents a ...
  • The effect of ladder climbing on forearm function. 

    Stewart, Arthur D.; Mitchell, Dawn (CIEHF http://www.ergonomics.org.uk, 2018-04-23)
    STEWART, A. and MITCHELL, D. 2018. The effect of ladder climbing on forearm function. In Charles, R. and Wilkinson, J. (eds.) Proceedings of the Contemporary ergonomics and human factors 2018 conference, 23-25 April 2018, Birmingham, UK. Loughborough: Chartered Institute of Ergonomics and Human Factors, pages 195-201.
    Wind energy technicians are required to be capable of manual ascent of turbines before conducting essential maintenance. This mandates vertical ladder ascent which involves considerable forearm exertion which may have ...
  • kNN sampling for personalised human recognition. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer https://doi.org/10.1007/978-3-319-61030-6_23, 2017-06-21)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2017. kNN sampling for personalised human recognition. Lecture notes in computer science, 10339, case-based reasoning research and development: proceedings of the 25th international case-based reasoning conference (ICCBR 2017), 26-28 June 2017, Trondheim, Norway. Cham: Springer [online], pages 330-344. Available from: https://doi.org/10.1007/978-3-319-61030-6_23
    The need to adhere to recommended physical activity guidelines for a variety of chronic disorders calls for high precision Human Activity Recognition (HAR) systems. In the SelfBACK system, HAR is used to monitor activity ...
  • Learning deep and shallow features for human activity recognition. 

    Sani, Sadiq; Massie, Stewart; Wiratunga, Nirmalie; Cooper, Kay (Springer https://doi.org/10.1007/978-3-319-63558-3_40, 2017-07-19)
    SANI, S., MASSIE, S., WIRATUNGA, N. and COOPER, K. 2017. Learning deep and shallow features for human activity recognition. Lecture notes in artificial intelligence, 10412: proceedings of the 10th international knowledge science engineering and management conference (KESEM 2017), 19-20 August 2017, Melbourne, Australia. Cham: Springer [online], pages 469-482. Available from: https://doi.org/10.1007/978-3-319-63558-3_40
    selfBACK is an mHealth decision support system used by patients for the self-management of Lower Back Pain. It uses Human Activity Recognition from wearable sensors to monitor user activity in order to measure their adherence ...
  • SelfBACK: Activity recognition for self-management of low back pain. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer https://dx.doi.org/10.1007/978-3-319-47175-4, 2016-11-05)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2016. SelfBACK: Activity recognition for self-management of low back pain. In Bramer, M. and Petridis, M. (eds.) 2016. Research and development in intelligent systems XXXIII: incorporating applications and innovations in intelligent systems XXIV: proceedings of the 36th SGAI nternational conference on innovative techniques and applications of artificial intelligence (AI-2016), 13-15 December 2016, Cambridge, UK. Cham: Springer [online], pages 281-294. Available from: http://dx.doi.org/10.1007/978-3-319-47175-4
    Low back pain (LBP) is the most significant contributor to years lived with disability in Europe and results in significant financial cost to European economies. Guidelines for the management of LBP have self-management ...