Human motion pattern recognition based on the fused random forest algorithm
Authors:
- Chuang CaiCCChuang Cai
- Chunxi YangCYChunxi Yang
- Sheng LuSLSheng Lu
- Guanbin GaoGGGuanbin Gao
- Jing NaJNJing Na
- 9 September 2023
- journal article
- research article
- Published by Elsevier in Measurement
- Vol. 222
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- A robot-assisted bilateral upper limb training strategy with subject-specific workspace: A pilot studyRobotics and Autonomous Systems, 2020
- Upper body motion recognition based on key frame and random forest regressionMultimedia Tools and Applications, 2018
- Classification of Five Ambulatory Activities Regarding Stair and Incline Walking Using Smart ShoesIEEE Sensors Journal, 2018
- A Comparative Study on Human Activity Recognition Using Inertial Sensors in a SmartphoneIEEE Sensors Journal, 2016
- Sensor-Based Activity RecognitionIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2012
- The use of inertial sensors system for human motion analysisPhysical Therapy Reviews, 2010
- Machine Learning Methods for Classifying Human Physical Activity from On-Body AccelerometersSensors, 2010
- Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled ConditionsIEEE Transactions on Information Technology in Biomedicine, 2008
- Random ForestsMachine Learning, 2001
- Kinematic and kinetic comparison of downhill and level walkingClinical Biomechanics, 1995