A comparison of classifiers for activity recognition using multiple accelerometer-based sensors

Computer Science

• Activity Recognition 100%
• Recognition Accuracy 100%
• Support Vector Machine 33%
• Execution Time 33%
• Neural Network 33%
• multi sensor 33%
• Bayes Classifier 33%
• Decision Tree Classifier 33%
• Nave Bayes 33%
• Substantial Amount 33%
• Signal Processing Algorithm 33%
• Feature Extraction 33%
• K-near neighbor classifier 33%