A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection.

N, Zurbuchen; A, Wilde; P, Bruegger

doi:10.3390/s21030938

Public

A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection.

Shared by NobleBlocks on Jan 30, 2021 • 12:00 AM UTC

Authors:

Zurbuchen N

Wilde A

Bruegger P

Abstract

Falls are dangerous for the elderly, often causing serious injuries especially when the fallen person stays on the ground for a long time without assistance. This paper extends our previous work on the development of a Fall Detection System (FDS) using an inertial measurement unit worn at the waist....

Subject

Feature extraction

data preprocessing

Machine Learning

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