• Deep learning and change detection for fall recognition 

      Tasoulis S.K., Mallis G.I., Georgakopoulos S.V., Vrahatis A.G., Plagianakos V.P., Maglogiannis I.G. (2019)
      Early fall detection is a crucial research challenge since the time delay from fall to first aid is a key factor that determines the consequences of a fall. Wearable sensors allow a reliable way for daily-life activities ...
    • A Review of Machine Learning and TinyML in Healthcare 

      Tsoukas V., Boumpa E., Giannakas G., Kakarountas A. (2021)
      Healthcare is the field that can benefit from the large amount of raw data generated from portable and wearable devices. This data must be sent to the Cloud for processing due to the computationally intensive nature of ...
    • A route planning framework for smart wearable assistive navigation systems 

      Ntakolia C., Iakovidis D.K. (2021)
      Route planning (RP) enables individuals to navigate in unfamiliar environments. Current RP methodologies generate routes that optimize criteria relevant to the traveling distance or time, whereas most of them do not consider ...
    • Security and Privacy Concerns for Healthcare Wearable Devices and Emerging Alternative Approaches 

      Boumpa E., Tsoukas V., Gkogkidis A., Spathoulas G., Kakarountas A. (2022)
      The wide use of wearable devices rises a lot of concerns about the privacy and security of personal data that are collected and stored by such services. This concern is even higher when such data is produced by healthcare ...
    • Wavelet-based signal analysis for heart failure hospitalization prediction 

      Iakovidis D.K., Douska D., Barba E., Koulaouzidis G. (2016)
      Heart failure (HF) is commonly a chronic condition associated with frequent hospital admissions. Early knowledge about a possible deterioration of this condition would enable early treatment for the prevention of adverse ...
    • Wearable panic attack detection system 

      Sapounaki M., Polychronou I., Gkonta M., Vogiatzoglou A., Kakarountas A. (2017)
      The paper proposes a wearable system for panic attack detection, constructed by COTS products. It is the first open hardware/open software prototype of its kind to the best of the authors knowledge. In this paper, the ...