Indoor Positioning and Fall Detection System Without Wearables
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G.W. Mulder (TU Delft - Electrical Engineering, Mathematics and Computer Science)
K.N. Hernández Salvador (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M.T. Baroud (TU Delft - Electrical Engineering, Mathematics and Computer Science)
P.J. French – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
K. Rassels – Mentor (TU Delft - Mechanical Engineering)
I. Ercan – Coach (TU Delft - Electrical Engineering, Mathematics and Computer Science)
T.M. Lopes Marta da Costa – Coach (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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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.