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1
المساهمون: Universidade do Minho
مصطلحات موضوعية: Deep learning, Exoskeletons, Locomotion mode recognition and prediction, Wearable sensors
وصف الملف: application/pdf
الاتاحة: https://hdl.handle.net/1822/90824
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2Academic Journal
المؤلفون: Moreira, Luís, Figueiredo, Joana, Cerqueira, João, Santos, Cristina P.
مصطلحات موضوعية: Gait rehabilitation, Locomotion mode recognition and prediction, Wearable assistive devices, Science & Technology
وصف الملف: application/pdf
Relation: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04436%2F2020/PT; info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04436%2F2020/PT; https://www.mdpi.com/1424-8220/22/19/7109; Moreira, L.; Figueiredo, J.; Cerqueira, J.; Santos, C.P. A Review on Locomotion Mode Recognition and Prediction When Using Active Orthoses and Exoskeletons. Sensors 2022, 22, 7109. https://doi.org/10.3390/s22197109; https://hdl.handle.net/1822/82973; 7109
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3
المؤلفون: Luís Moreira, Joana Figueiredo, João Cerqueira, Cristina P. Santos
المساهمون: Universidade do Minho
المصدر: Sensors (Basel, Switzerland). 22(19)
مصطلحات موضوعية: Orthotic Devices, Science & Technology, Walking, Exoskeleton Device, Biochemistry, Atomic and Molecular Physics, and Optics, Analytical Chemistry, Locomotion mode recognition and prediction, Lower Extremity, Wearable assistive devices, Humans, Electrical and Electronic Engineering, Instrumentation, Gait, Gait rehabilitation, Locomotion
وصف الملف: application/pdf