loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sebastian Fudickar ; Alexander Lindemann and Bettina Schnor

Affiliation: Potsdam University, Germany

Keyword(s): Fall detection, Development of Assistive Technology, Sensors-based Applications.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Devices ; Distributed and Mobile Software Systems ; Evaluation and Use of Healthcare IT ; Health Engineering and Technology Applications ; Health Information Systems ; Human-Computer Interaction ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Motion Tracking Technologies ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Pervasive Health Systems and Services ; Physiological Computing Systems ; Sensors-Based Applications ; Software Engineering ; Wearable Sensors and Systems

Abstract: This paper evaluates threshold-based fall detection algorithms which use data from acceleration sensors that are part of the current smart phone technology. The evaluation was done with sampled fall records where young people simulate falls. To test the false positive rate of the algorithms, another record set with Activities of the Daily Living (ADLs) from elderlies was used. The results are very promising and show that smart phone sensors are suitable for fall detection. This will offer a new opportunity to assist elderlies in their daily living and extend their period of self-determined living.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.196.27.171

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Fudickar, S.; Lindemann, A. and Schnor, B. (2014). Threshold-based Fall Detection on Smart Phones. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - HEALTHINF; ISBN 978-989-758-010-9; ISSN 2184-4305, SciTePress, pages 303-309. DOI: 10.5220/0004795803030309

@conference{healthinf14,
author={Sebastian Fudickar. and Alexander Lindemann. and Bettina Schnor.},
title={Threshold-based Fall Detection on Smart Phones},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - HEALTHINF},
year={2014},
pages={303-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004795803030309},
isbn={978-989-758-010-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - HEALTHINF
TI - Threshold-based Fall Detection on Smart Phones
SN - 978-989-758-010-9
IS - 2184-4305
AU - Fudickar, S.
AU - Lindemann, A.
AU - Schnor, B.
PY - 2014
SP - 303
EP - 309
DO - 10.5220/0004795803030309
PB - SciTePress