Wearable Acceleration-Based Human Activity Recognition Using AM-FM Signal Decomposition.
Giorgio BiagettiPaolo CrippaLaura FalaschettiMichele AlessandriniClaudio TurchettiPublished in: KES-IDT (2022)
Keyphrases
- human activities
- activity recognition
- human computer interaction
- ubiquitous computing
- non stationary
- human activity recognition
- hilbert huang transform
- daily activities
- wearable sensors
- intrinsic mode functions
- wavelet packet
- empirical mode decomposition
- sensor data
- action recognition
- human knowledge
- activity analysis
- frequency modulation
- human actions
- daily life
- gesture recognition
- temporal structure
- smart home
- human interactions
- text mining
- transfer learning
- space time
- machine learning
- knowledge base
- high dimensional
- smart environments
- sensor networks
- software engineering