Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications

Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications

The ability to count finger and wrist movements throughout the day with a nonobtrusive, wearable sensor could be useful for hand-related healthcare applications, including rehabilitation after a stroke, carpal tunnel syndrome, or hand surgery. Previous approaches have required the user to wear a rin...

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Bibliographic Details
Main Authors: Shusuke Okita, Roman Yakunin, Jathin Korrapati, Mina Ibrahim, Diogo Schwerz de Lucena, Vicky Chan, David J. Reinkensmeyer
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
human activity recognition (HAR)
neural network
rehabilitation
convolutional neural network (CNN)
the inertial measurement unit (IMU)
motion capture system (MC)
Online Access:https://www.mdpi.com/1424-8220/23/12/5690

Internet

https://www.mdpi.com/1424-8220/23/12/5690

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