loading
Documents

Research.Publish.Connect.

Paper

Authors: Vincenzo Carletti ; Antonio Greco ; Alessia Saggese ; Mario Vento and Vincenzo Vigilante

Affiliation: University of Salerno, Italy

ISBN: 978-989-758-290-5

Keyword(s): Fall Detection, Embedded Systems, Wereable Devices.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction

Abstract: Every year 424,000 fatal accidents occur, they are the second cause of unintentional death after road traffic injuries. The difference between fatal and not fatal accidents often is the presence of other people able to promptly provide first aid or call for help. Unfortunately, even during the practice of group activities (e.g. team sports) an accident can happen when a person is alone or out of sight; thus, the availability of devices able to detect if a serious accident is occurred and consequently arise an alarm to other people is an important issue for the safety of people. Starting from these considerations, in this paper we propose a wearable device able to detect accidents occurring during the practice of running. The device uses a one class SVM trained only on the normal activity and classifies as anomalies all the unknown situations. Then, in order to avoid alarms related to non dangerous events, the output of the classifier is analyzed by an additional stage responsible to d etect if the person is or not unconscious after an abnormal event. In the former case an alarm is arisen by the system. (More)

PDF ImageFull Text

Download
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 3.80.4.76

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:
Carletti, V.; Greco, A.; Saggese, A.; Vento, M. and Vigilante, V. (2018). A Wearable Embedded System for Detecting Accidents while Running.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-290-5, pages 541-548. DOI: 10.5220/0006612805410548

@conference{visapp18,
author={Vincenzo Carletti. and Antonio Greco. and Alessia Saggese. and Mario Vento. and Vincenzo Vigilante.},
title={A Wearable Embedded System for Detecting Accidents while Running},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={541-548},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006612805410548},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - A Wearable Embedded System for Detecting Accidents while Running
SN - 978-989-758-290-5
AU - Carletti, V.
AU - Greco, A.
AU - Saggese, A.
AU - Vento, M.
AU - Vigilante, V.
PY - 2018
SP - 541
EP - 548
DO - 10.5220/0006612805410548

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.