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Andreas Ejupi

Biographic Data

ID7594282
NAMEAndreas Ejupi
GIVEN NAMESAndreas
FAMILY NAMEEjupi
SIGNATUREEJUPI A
AFFILIATIONSNeuroscience Research Australia
ORCID0000-0002-1334-8984
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2015
H-INDEX0
  • A Kinect and Inertial Sensor-Based System for the Self-Assessment of Fall Risk

    Andreas Ejupi, Yves J Gschwind et al.•ARTICLE•Human-Computer Interaction•2015

    Copyright © 2016 Taylor & Francis Group, LLC. Falls remain an important problem in older people. There is strong evidence that falls can be prevented with appropriately designed intervention programs. To start a targeted fall prevention program, a first step is to identify those at high risk of falls. Sensor-based tests hold great promise for more frequent and accurate assessment of fall risk in clinical and home settings. The aims of this study …

No prominent works on this page.

  • A Kinect and Inertial Sensor-Based System for the Self-Assessment of Fall Risk

    Andreas Ejupi, Yves J Gschwind et al.•ARTICLE•Human-Computer Interaction•2015

    Copyright © 2016 Taylor & Francis Group, LLC. Falls remain an important problem in older people. There is strong evidence that falls can be prevented with appropriately designed intervention programs. To start a targeted fall prevention program, a first step is to identify those at high risk of falls. Sensor-based tests hold great promise for more frequent and accurate assessment of fall risk in clinical and home settings. The aims of this study …

Applied Psychology (1 work) · Applied Psychology (1 work) · Balance, Gait, and Falls Prevention (1 work) · Computer Science (1 work) · Computer security (1 work) · Context-Aware Activity Recognition Systems (1 work) · Duration (music (1 work) · Fall prevention (1 work) · Human Factors and Ergonomics (1 work) · Human Factors and Ergonomics (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae