We develop a wearable-based frozen shoulder rehabilitation exercise recognizer using different machine learning models and deep learning models.

Wearable-based Frozen Shoulder Rehabilitation Exercise Recognition using Machine Learning Approaches. Chien-Pin Liu 1. ,. Chih-Chun Lai 1. ,. Kai-Chun Liu 2.

Fingerprint. Dive into the research topics of 'Wearable-based Frozen Shoulder Rehabilitation Exercise Recognition using Machine Learning Approaches'.

Fingerprint. Dive into the research topics of 'Wearable-based Frozen Shoulder Rehabilitation Exercise Recognition using Machine Learning Approaches'.

Missing: Frozen Recognition

Aug 20, 2024 · Purpose The objective of this study is to train and test machine‐learning (ML) models to automatically classify shoulder rehabilitation ...

Machine learning-based systems for prediction of activities of daily living [15], gait rehabilitation [16] and frozen-shoulder rehabilitation [17] have been ...

It specifically focuses on wearable devices, robots, exoskeletons, machine learning, virtual and augmented reality, and serious games. Through an in-depth ...

Wearable-based Frozen Shoulder Rehabilitation Exercise Recognition using Machine Learning Approaches · Smartphone-based systems for physical rehabilitation ...

May 5, 2024 · The aim of this systematic review is to report the monitoring devices currently proposed and tested for shoulder rehabilitation in home settings.