An Efficient Technique for Real-Time Human Activity Classification Using Accelerometer Data.
Giorgio BiagettiPaolo CrippaLaura FalaschettiSimone OrcioniClaudio TurchettiPublished in: KES-IDT (1) (2016)
Keyphrases
- human activities
- activity recognition
- real time
- accelerometer data
- human activity recognition
- image classification
- decision trees
- feature vectors
- sensor data
- feature selection
- vision system
- feature extraction
- action recognition
- human knowledge
- expert systems
- spatio temporal
- information extraction
- semi supervised
- feature space
- smart environments
- human interactions
- machine learning