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) ORCID 0000-0003-1339-9703
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

Elderly
Incident detection
positioning
Care home
Fall 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
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