Smartphone-based fall detection system for the elderly

• Main Author: Τσίγγανος, Παναγιώτης
• Other Authors: Σκόνδρας, Αθανάσιος
• Format: Thesis
• Language: English
• Published: 2017
• Subjects: Fall detection; Smartphones; Machine learning; Signal processing; Android; Accelerometers; Ανίχνευση πτώσης; Κινητά τηλέφωνα; Μηχανική μάθηση; Επεξεργασία σήματος; Επιταχυνσιόμετρα; 617.103

Falls can be severe enough to cause disabilities especially to frail populations. Thus, prompt health care provision is essential to prevent and restore any harm. The purpose of this study is to develop a smartphone-based fall detection system. This thesis first presents valid reports to illustrate...