Turn detection and characterization with inertial sensors

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Bibliographische Detailangaben
Deutscher übersetzter Titel:Erkennung von Umkehrbewegungen und deren Charakterisierung mit Trägheitssensoren
Autor:Pearson, Sean; Mancini, Martina; El-Gohary, Mahmoud; McNames, James; Horak, Fay
Erschienen in:icSPORTS 2013 : proceedings of the International Congress on Sports Science Research and Technology Support ; September 20-22, 2013, in Vilamoura, Algarve, Portugal
Veröffentlicht:Cham: Science and Technology Publications (Verlag), 2013, S. 19-22, Lit.
Herausgeber:International Congress on Sports Science Research and Technology Support
Format: Literatur (SPOLIT)
Publikationstyp: Sammelwerksbeitrag
Medienart: Elektronische Ressource (online) Gedruckte Ressource
Dokumententyp: Tagungsband
Sprache:Englisch
DOI:10.5220/0004647000190022
Schlagworte:
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Erfassungsnummer:PU201609006439
Quelle:BISp
TY  - COLL
AU  - Pearson, Sean
A2  - Pearson, Sean
A2  - Mancini, Martina
A2  - El-Gohary, Mahmoud
A2  - McNames, James
A2  - Horak, Fay
DB  - BISp
DP  - BISp
KW  - Algorithmus
KW  - Analyse, biomechanische
KW  - Biomechanik
KW  - Feldversuch
KW  - Ganganalyse
KW  - Gleichgewichtsvermögen
KW  - Information, sensorische
KW  - Neurophysiologie
KW  - Richtungsänderung
KW  - Risikofaktor
KW  - Sporttechnologie
KW  - Sturz
KW  - Trägheitsmoment
KW  - Wearables
LA  - eng
PB  - Science and Technology Publications
CY  - Cham
TI  - Turn detection and characterization with inertial sensors
TT  - Erkennung von Umkehrbewegungen und deren Charakterisierung mit Trägheitssensoren
PY  - 2013
N2  - Turn detection and characterization in the home is important for continuous assessment of gait and balance in people with movement disability. Turning often results in falling in individuals with movement disorders. Researchers and clinicians would benefit from a system that identifies and characterizes their daily mobility behavior to predict their risk of falling, benefits or side effects of treatment, and progression of disease. The goal of this study is to develop an algorithm that is capable of reliably detecting turns during gait with the goal of applying it over long periods outside a lab environment. Performance of the algorithm is validated against an optical marker system and video analysis of a subset of the participants.
L2  - http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=hPwF9E0rKD8=&t=1
L2  - https://dx.doi.org/10.5220/0004647000190022
DO  - 10.5220/0004647000190022
SP  - S. 19-22
BT  - icSPORTS 2013 : proceedings of the International Congress on Sports Science Research and Technology Support ; September 20-22, 2013, in Vilamoura, Algarve, Portugal
M3  - Elektronische Ressource (online)
M3  - Gedruckte Ressource
ID  - PU201609006439
ER  -