Machine Learning and Data Fusion Techniques Applied to Physical Activity Classification Using Photoplethysmographic and Accelerometric Signals.
Giorgio BiagettiPaolo CrippaLaura FalaschettiEdoardo FocanteNatividad Martínez MadridRalf SeepoldClaudio TurchettiPublished in: KES (2020)
Keyphrases
- data fusion
- machine learning
- multi sensor
- fusion algorithm
- information fusion
- machine learning algorithms
- multi sensor data fusion
- text classification
- supervised learning
- multiple sensors
- feature selection
- multi source
- physical activity
- computer vision
- heart rate
- fusion methods
- learning algorithm
- active learning
- image fusion
- rbf neural network
- artificial intelligence
- data mining
- social networks
- computational intelligence
- feature vectors
- real time