Print Email Facebook Twitter Indoor Positioning and Fall Detection System Without Wearables Title Indoor Positioning and Fall Detection System Without Wearables: <redacted> Author Mulder, Gerben (TU Delft Electrical Engineering, Mathematics and Computer Science) Hernández Salvador, Kim (TU Delft Electrical Engineering, Mathematics and Computer Science) Baroud, Mounzir (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor French, P.J. (mentor) Rassels, K. (mentor) Ercan, İlke (graduation committee) Lopes Marta da Costa, T.M. (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering Date 2023-06-27 Abstract This thesis report, one of a set of two reports, describes a novel way to detect incidents that could occur in the daily life of the elderly. Unlike most systems already implemented in this field, this system does not use any wearable (positioning) sensors and works off an Single Board Computer (SBC).Independent of both of these systems is a system for reassurance to alleviate distress. Subject ElderlyIncident detectionpositioningCare homeFall detection To reference this document use: http://resolver.tudelft.nl/uuid:c85b4f45-1ed6-479d-84b5-f0f981604519 Bibliographical note This is the public version of the report. The original report is shared with the jury. Part of collection Student theses Document type bachelor thesis Rights © 2023 Gerben Mulder, Kim Hernández Salvador, Mounzir Baroud Files PDF BAP_Report_Radar_redacted.pdf 87.94 KB Close viewer /islandora/object/uuid:c85b4f45-1ed6-479d-84b5-f0f981604519/datastream/OBJ/view