Classification of fatigue phases in healthy and diabetic adults using wearable sensor

Keyphrases

• Wearable Sensors 100%
• Healthy Adults 100%
• Effort Task 100%
• Non-diabetic Adults 100%
• Tremor 66%
• Ensemble Classifier 66%
• Window Size 66%
• Machine Learning Techniques 33%
• Early Detection 33%
• Corrective Control 33%
• Classification Performance 33%
• Order of Accuracy 33%
• K-nearest 33%
• Decision Tree 33%
• Force-generating Capacity 33%
• 5-fold Cross Validation 33%
• Preventive Control 33%
• Signal Machine 33%
• Wrist 33%
• Sampling Window 33%
• Random Subspace 33%
• Hand Tremor 33%
• Advanced Signal Processing 33%
• Work-related Injury 33%
• Tremor Quantification 33%
• Time-frequency Domain Features 33%
• Voluntary Effort 33%
• Dominant Hand 33%
• Neighborhood Support 33%
• Acceleration Signal 33%
• Support Vector Classifier 33%

Computer Science

• ensemble classifier 100%
• Machine Learning Technique 50%
• Frequency Domain 50%
• Support Vector Machine 50%
• Early Detection 50%
• Fold Cross Validation 50%
• Domain Feature 50%
• Decision Tree 50%
• Signal Processing 50%