Comparison between Accelerometer and Gyroscope in Predicting Level-Ground Running Kinematics by Treadmill Running Kinematics Using a Single Wearable Sensor

Comparison between Accelerometer and Gyroscope in Predicting Level-Ground Running Kinematics by Treadmill Running Kinematics Using a Single Wearable Sensor

Wearable sensors facilitate running kinematics analysis of joint kinematics in real running environments. The use of a few sensors or, ideally, a single inertial measurement unit (IMU) is preferable for accurate gait analysis. This study aimed to use a convolutional neural network (CNN) to predict l...

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Bibliographic Details
Main Authors: Daniel Hung Kay Chow, Luc Tremblay, Chor Yin Lam, Adrian Wai Yin Yeung, Wilson Ho Wu Cheng, Peter Tin Wah Tse
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
deep learning
convolutional neural network
running
kinematics
wearable sensor
running kinematics analysis
Online Access:https://www.mdpi.com/1424-8220/21/14/4633

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