Wearable System for Real Time Detection and Prediction of Falls

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Northeastern University
DOI: 10.5281/zenodo.18984394
Cited by: 0

Abstract

Fall Detection Datasets These are the parameters: Timestamp,Sequence,AcX,AcY,AcZ,GyX,GyY,GyZ,RSSI,SNR AcX, AcY and AcZ are the x,y,z components of the acceleration (measures acceleration in coordinates) GyX, GyY and GyZ are the x,y,z components of the gyroscope (measures rotational speed around X, Y, and Z axes of the device) RSSI is the Received Signal Strength Indicator (a measure of the wireless signal strength) SNR is the Signal-to-Noise ratio (a measure of the wireless interference)

Fields of Study & Subjects

Context-Aware Activity Recognition Systems Balance Gait and Falls Prevention Indoor and Outdoor Localization Technologies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN
Document type
Dataset