Locomotion Mode Transition Prediction Based on Gait-Event Identification Using Wearable Sensors and Multilayer Perceptrons.

Su, Binbin; Liu, Yi-Xing; Gutierrez-Farewik, Elena M

Su, Binbin; Liu, Yi-Xing; Gutierrez-Farewik, Elena M.

Affiliation

Su B; KTH MoveAbility Lab, Department of Engineering Mechanics, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
Liu YX; KTH MoveAbility Lab, Department of Engineering Mechanics, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
Gutierrez-Farewik EM; KTH MoveAbility Lab, Department of Engineering Mechanics, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.

Sensors (Basel) ; 21(22)2021 Nov 10.

Article in En | MEDLINE | ID: mdl-34833549

Subject(s)

Gait; Wearable Electronic Devices; Humans; Locomotion; Neural Networks, Computer; Walking

Key words

critical gait events; exoskeleton control; locomotion mode

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wearable Electronic Devices / Gait Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2021 Type: Article Affiliation country: Sweden

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