Inertial Sensor Based Modelling of Human Activity Classes: Feature Extraction and Multi-sensor Data Fusion Using Machine Learning Algorithms.
Tahmina ZebinPatricia J. ScullyKrikor B. OzanyanPublished in: eHealth 360° (2016)
Keyphrases
- machine learning algorithms
- human activities
- multi sensor data fusion
- feature extraction
- sensor data
- data fusion
- benchmark data sets
- activity recognition
- learning algorithm
- human activity recognition
- machine learning
- machine learning methods
- decision trees
- predictive accuracy
- human computer interaction
- random forests
- learning problems
- machine learning approaches
- human actions
- machine learning systems
- feature vectors
- input features
- principal component analysis
- sensor networks
- machine learning models
- human knowledge
- temporal structure
- learning models
- dimensionality reduction
- action recognition
- standard machine learning algorithms
- text categorization
- transfer learning
- feature selection
- feature space
- machine learning and data mining algorithms
- image classification
- data streams
- learning tasks
- active learning