An Activity Recognition Framework for Continuous Monitoring of Non‐Steady‐State Locomotion of Individuals with Parkinson’s Disease

Physics & Astronomy

• Parkinson disease 100%
• locomotion 76%
• education 62%
• classifiers 56%
• ramps 45%
• performance 27%
• walking 27%
• set theory 21%
• disorders 16%

Engineering & Materials Science

• Discriminant analysis 67%
• Stairs 51%
• Data storage equipment 38%
• Monitoring 35%
• Classifiers 29%
• Set theory 13%
• Neural networks 12%
• Networks (circuits) 11%

Chemical Compounds

• Classifier 86%
• Disorder 27%
• Application 9%