Adaptive Algorithm for Gait Segmentation Using a Single IMU in the Thigh Pocket
Author:
Affiliation:
1. Department of Electrical Engineering, University of São Paulo, São Carlos, Brazil
2. Department of Mechanical Engineering, University of São Paulo, São Carlos, Brazil
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil
São Paulo Research Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9812846/09789981.pdf?arnumber=9789981
Reference45 articles.
1. An improved Sage Husa adaptive robust Kalman Filter for de-noising the MEMS IMU drift signal
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1. Determination of Gait Events and Temporal Gait Parameters for Persons with a Knee–Ankle–Foot Orthosis;Sensors;2024-02-01
2. A Novel Gait Event Detection Algorithm Using a Thigh-Worn Inertial Measurement Unit and Joint Angle Information;Journal of Biomechanical Engineering;2024-01-29
3. Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back;Sensors;2023-11-04
4. Modified proximal thigh kinematics captured with a novel smartphone app in individuals with a history of recurrent ankle sprains and altered dorsiflexion with walking;Clinical Biomechanics;2023-05
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