loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jian Huang 1 ; Zhen Shu 1 ; Wenxia Xu 1 and Samer Mohammed 2

Affiliations: 1 Huazhong University of Science and Technology, China ; 2 University Paris Est Créteil (UPEC), China

Keyword(s): Walking-Aid Robot, Wearable Sensors, Fall Detection.

Abstract: An omni-directional walking-aid robot is developed for the elderly in this study. A motion control strategy of walking-aid robot based on observing human status by wearable sensors is proposed. During normal walking, the robot is controlled by a conventional admittance control scheme. When the tendency of a fall is detected, the robot will immediately react to prevent the user from falling down. The distance between the human Centre of Pressure (COP) and the midpoint of two human feet is assumed to be a significant feature to detecting the fall events. Dubois possibility theory is applied to describe the membership function of ‘normal walking’ state. A threshold based fall detection approach is obtained from online evaluation of the walking status. Finally, experiments demonstrate the validity of the proposed strategy.

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 18.218.99.80

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:
Huang, J.; Shu, Z.; Xu, W. and Mohammed, S. (2013). Human Motion Assistance using Walking-aid Robot and Wearable Sensors. In Proceedings of the International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2013) - RoboAssist; ISBN 978-989-8565-80-8, SciTePress, pages 199-204. DOI: 10.5220/0004664101990204

@conference{roboassist13,
author={Jian Huang. and Zhen Shu. and Wenxia Xu. and Samer Mohammed.},
title={Human Motion Assistance using Walking-aid Robot and Wearable Sensors},
booktitle={Proceedings of the International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2013) - RoboAssist},
year={2013},
pages={199-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004664101990204},
isbn={978-989-8565-80-8},
}

TY - CONF

JO - Proceedings of the International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2013) - RoboAssist
TI - Human Motion Assistance using Walking-aid Robot and Wearable Sensors
SN - 978-989-8565-80-8
AU - Huang, J.
AU - Shu, Z.
AU - Xu, W.
AU - Mohammed, S.
PY - 2013
SP - 199
EP - 204
DO - 10.5220/0004664101990204
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic