Top

Published in:

2022 | OriginalPaper | Chapter

Methods for User Activity Recognition in Exoskeletons

Authors : Iñaki Díaz, Juan Martín, Xabier Justo, Carlos Fernández, Jorge Juan Gil

Published in: Wearable Robotics: Challenges and Trends

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Exoskeleton technology is making its way into the industry as an assistance tool to prevent workers from suffering musculoskeletal disorders. However, current control algorithms do not yet allow for a natural human-robot collaboration interface. A key issue to develop efficient exoskeleton controllers resides in the user’s activity recognition. This work describes several exoskeleton sensorization options and Machine Learning methods tested on GOGOA’s ALDAK active exoskeleton to identify user activity type.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Using a Spring-Loaded Upper-Limb Exoskeleton in Cleaning Tasks: A Preliminary Study

next chapter A Topology-Optimization-Based Design Methodology for Wearable Robots: Implementation and Application

https://www.ctrl-labs.com/ctrl-kit/.

Eurofund, Sixth european working conditions survey, overview report, Publications Office of the European Union, Technical Report (2016)

J. Theurel, K. Desbrosses, Occupational exoskeletons: Overview of their benefits and limitations in preventing work-related musculoskeletal disorders. IISE Trans. Occup. Ergonomics Hum. Factors 7(3–4), 153–162 (2019)

S. Kawai, H. Yokoi, K. Naruse, Y. Kakazu, Study for control of a power assist device. Development of an EMG based controller considering a human model, in 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 3 (2004), pp. 2283–2288

H. Kawamoto, Suwoong Lee, S. Kanbe, Y. Sankai, Power assist method for hal-3 using EMG-based feedback controller, in IEEE International Conference on Systems, Man and Cybernetics, vol. 2 (2003), pp. 1648–1653

L. A. Mateos, J. Ortiz, S. Toxiri, J. Fernandez, J. Masood, D.G. Caldwell, Exoshoe: A sensory system to measure foot pressure in industrial exoskeleton,” in 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), (2016), pp. 99–105

B. Chen, L. Grazi, F. Lanotte, N. Vitiello, S. Crea, A real-time lift detection strategy for a hip exoskeleton. Front. Neurorobot. 12, 1–7 (2018)CrossRef

Title: Methods for User Activity Recognition in Exoskeletons
Authors: Iñaki Díaz
Juan Martín
Xabier Justo
Carlos Fernández
Jorge Juan Gil
Publisher: Springer International Publishing
Book: Wearable Robotics: Challenges and Trends
Print ISBN: 978-3-030-69546-0

Electronic ISBN: 978-3-030-69547-7

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-69547-7_78