Smartphone-based human fatigue level detection using machine learning approaches
Author:
Affiliation:
1. Industrial and Systems Engineering Department, Rochester Institute of Technology, Rochester, NY, US
Funder
Department of Industrial & Systems Engineering at the Rochester Institute of Technology
Publisher
Informa UK Limited
Subject
Physical Therapy, Sports Therapy and Rehabilitation,Human Factors and Ergonomics
Link
https://www.tandfonline.com/doi/pdf/10.1080/00140139.2020.1858185
Reference43 articles.
1. Gait Detection in Children with and without Hemiplegia Using Single-Axis Wearable Gyroscopes
2. Using a Motion Sensor to Categorize Nonspecific Low Back Pain Patients: A Machine Learning Approach
3. Forceplate and accelerometer measures for evaluating the effect of muscle fatigue on postural control during one-legged stance
4. A novel approach to spinal 3-D kinematic assessment using inertial sensors: Towards effective quantitative evaluation of low back pain in clinical settings
5. A machine learning approach to detect changes in gait parameters following a fatiguing occupational task
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