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Listar por tema "Fall detection"

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    • 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 fall detection algorithm for indoor video sequences captured by fish-eye camera 

      Delibasis K.K., Maglogiannis I. (2015)
      In this paper we present an algorithm that can discriminate between standing and fallen silhouettes in video sequences acquired by a fish-eye camera, in order to detect falls in an indoor environment. The proposed algorithm ...

    • Fall detection using commodity smart watch and smart phone 

      Maglogiannis, I.; Ioannou, C.; Spyroglou, G.; Tsanakas, P. (2014)
      Human motion data captured from wearable devices such as smart watches can be utilized for activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in ...

    • Rapid prototype development for studying human activity 

      Fevgas, A.; Tsompanopoulou, P.; Lalis, S. (2010)
      Recent years there is an extremely growing interest in the study of human motion. A large amount of scientific research projects deal with problems like monitoring human motion, gesture and posture recognition, fall detection ...

    • Real-Time fall detection using uncalibrated fisheye cameras 

      Kottari K.N., Delibasis K.K., Maglogiannis I.G. (2020)
      In this article, we describe an approach for the problem of fall detection among the several other everyday activities in indoor environment, using three uncalibrated fisheye cameras. The proposed methodology requires the ...

    • Statistical data mining of streaming motion data for activity and fall recognition in assistive environments 

      Tasoulis, S. K.; Doukas, C. N.; Plagianakos, V. P.; Maglogiannis, I. (2013)
      The analysis of human motion data is interesting in the context of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several ...

    • Statistical data mining of streaming motion data for fall detection in assistive environments 

      Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2011)
      The analysis of human motion data is interesting for the purpose of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several ...

    • Video-surveillance and context aware system for activity recognition 

      Kolovou, X.; Maglogiannis, I. (2010)
      Fall detection is the main issue in design an AAL system for elderly. This paper describes an algorithm for vision and audio fall detection. The main problem with video surveillance is the distinction of a fall from similar ...