Autors: Iliev, I. T., Tabakov, S. D., Dotsinsky I A.
Title: Automatic fall detection of elderly living alone at home environment
Keywords: fall detection; elderly living alone; accelerometer signals

Abstract: The feeling of fall increases the anxiety and the depression in the elderly. Therefore, the monitoring system must enable the caregiver to track remotely the user’s walk around the rooms and to perceive immediately the falls without the need of confirmation request. We started to develop and implement a low-cost system directed to monitor the user walk, to detect the falls and to check the cardiac activity by analysing the photo-pletismographic signals. An interface for communication between the patient and health care expert is also provided. This paper is aimed to report the results obtained in reliable fall detection of solitary living elderly.

References

    Issue

    , 2011, Bulgaria,

    Цитирания (Citation/s):
    1. Support Vector Machine Classifiers Show High Generalizability in Automatic Fall Detection in Older Adults - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание