Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton

Fernando Trincado-Alonso; Antonio J. del Ama-Espinosa; Guillermo Asín-Prieto; Elisa Piñuela-Martín; Soraya Pérez-Nombela; Ángel Gil-Agudo; Jose L Pons; Juan C. Moreno

doi:10.1007/978-3-319-46532-6_41

Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton

Fernando Trincado-Alonso^*, Antonio J. del Ama-Espinosa, Guillermo Asín-Prieto, Elisa Piñuela-Martín, Soraya Pérez-Nombela, Ángel Gil-Agudo, Jose L Pons, Juan C. Moreno

^*Corresponding author for this work

Physical Medicine and Rehabilitation

Research output: Chapter in Book/Report/Conference proceeding › Chapter

5 Scopus citations

Abstract

In this study we explore a way of controlling a lower limb exoskeleton based on the detection of the user intention by recording and classifying information from force sensors placed on both knees and hips. The classifier is based on Linear Discriminant Analysis and has been tested offline in 5 healthy subjects, obtaining an average accuracy of 91.11 % for the sit-to-stand transition, 72.5 % for the stand-to-walk transition and 70 % for the stand-to-sit transition.

Original language	English (US)
Title of host publication	Biosystems and Biorobotics
Publisher	Springer International Publishing
Pages	249-253
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-319-46532-6_41
State	Published - 2017

Publication series

Name	Biosystems and Biorobotics
Volume	16
ISSN (Print)	2195-3562
ISSN (Electronic)	2195-3570

ASJC Scopus subject areas

Biomedical Engineering
Mechanical Engineering
Artificial Intelligence

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10.1007/978-3-319-46532-6_41

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Trincado-Alonso, F., del Ama-Espinosa, A. J., Asín-Prieto, G., Piñuela-Martín, E., Pérez-Nombela, S., Gil-Agudo, Á., Pons, J. L., & Moreno, J. C. (2017). Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton. In Biosystems and Biorobotics (pp. 249-253). (Biosystems and Biorobotics; Vol. 16). Springer International Publishing. https://doi.org/10.1007/978-3-319-46532-6_41

Trincado-Alonso, Fernando ; del Ama-Espinosa, Antonio J. ; Asín-Prieto, Guillermo ; Piñuela-Martín, Elisa ; Pérez-Nombela, Soraya ; Gil-Agudo, Ángel ; Pons, Jose L ; Moreno, Juan C. / Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton. Biosystems and Biorobotics. Springer International Publishing, 2017. pp. 249-253 (Biosystems and Biorobotics).

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title = "Detection of subject{\textquoteright}s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton",

abstract = "In this study we explore a way of controlling a lower limb exoskeleton based on the detection of the user intention by recording and classifying information from force sensors placed on both knees and hips. The classifier is based on Linear Discriminant Analysis and has been tested offline in 5 healthy subjects, obtaining an average accuracy of 91.11 % for the sit-to-stand transition, 72.5 % for the stand-to-walk transition and 70 % for the stand-to-sit transition.",

author = "Fernando Trincado-Alonso and {del Ama-Espinosa}, {Antonio J.} and Guillermo As{\'i}n-Prieto and Elisa Pi{\~n}uela-Mart{\'i}n and Soraya P{\'e}rez-Nombela and {\'A}ngel Gil-Agudo and Pons, {Jose L} and Moreno, {Juan C.}",

note = "Funding Information: This work is supported by The Biomot Project, funded by the Commission of the European Union under Grant Agreement number IFP7-ICT-2013-10-611695. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.",

year = "2017",

doi = "10.1007/978-3-319-46532-6_41",

language = "English (US)",

series = "Biosystems and Biorobotics",

publisher = "Springer International Publishing",

pages = "249--253",

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Trincado-Alonso, F, del Ama-Espinosa, AJ, Asín-Prieto, G, Piñuela-Martín, E, Pérez-Nombela, S, Gil-Agudo, Á, Pons, JL & Moreno, JC 2017, Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton. in Biosystems and Biorobotics. Biosystems and Biorobotics, vol. 16, Springer International Publishing, pp. 249-253. https://doi.org/10.1007/978-3-319-46532-6_41

Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton. / Trincado-Alonso, Fernando; del Ama-Espinosa, Antonio J.; Asín-Prieto, Guillermo; Piñuela-Martín, Elisa; Pérez-Nombela, Soraya; Gil-Agudo, Ángel; Pons, Jose L; Moreno, Juan C.

Biosystems and Biorobotics. Springer International Publishing, 2017. p. 249-253 (Biosystems and Biorobotics; Vol. 16).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton

AU - Trincado-Alonso, Fernando

AU - del Ama-Espinosa, Antonio J.

AU - Asín-Prieto, Guillermo

AU - Piñuela-Martín, Elisa

AU - Pérez-Nombela, Soraya

AU - Gil-Agudo, Ángel

AU - Pons, Jose L

AU - Moreno, Juan C.

N1 - Funding Information: This work is supported by The Biomot Project, funded by the Commission of the European Union under Grant Agreement number IFP7-ICT-2013-10-611695. Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - In this study we explore a way of controlling a lower limb exoskeleton based on the detection of the user intention by recording and classifying information from force sensors placed on both knees and hips. The classifier is based on Linear Discriminant Analysis and has been tested offline in 5 healthy subjects, obtaining an average accuracy of 91.11 % for the sit-to-stand transition, 72.5 % for the stand-to-walk transition and 70 % for the stand-to-sit transition.

AB - In this study we explore a way of controlling a lower limb exoskeleton based on the detection of the user intention by recording and classifying information from force sensors placed on both knees and hips. The classifier is based on Linear Discriminant Analysis and has been tested offline in 5 healthy subjects, obtaining an average accuracy of 91.11 % for the sit-to-stand transition, 72.5 % for the stand-to-walk transition and 70 % for the stand-to-sit transition.

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BT - Biosystems and Biorobotics

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Trincado-Alonso F, del Ama-Espinosa AJ, Asín-Prieto G, Piñuela-Martín E, Pérez-Nombela S, Gil-Agudo Á et al. Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton. In Biosystems and Biorobotics. Springer International Publishing. 2017. p. 249-253. (Biosystems and Biorobotics). https://doi.org/10.1007/978-3-319-46532-6_41

Detection of subject’s intention to trigger transitions between sit, stand and walk with a lower limb exoskeleton

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