Machine Learning for Fatigue Detection using Fitbit Fitness Trackers.
Erik Johannes HusomRustem DautovAdela-Aniela NedisanFotis GonidisSpyridon PapatzelosNikolaos MalamasPublished in: icSPORTS (2022)
Keyphrases
- visual tracking
- machine learning
- multi target tracking
- appearance model
- particle filter
- data association
- detection algorithm
- detection accuracy
- detection method
- evolutionary algorithm
- object detection
- machine learning algorithms
- decision trees
- automatic detection
- false alarms
- computer vision
- artificial intelligence
- learning algorithm
- detection rate
- learning problems
- fitness function
- genetic algorithm
- knowledge acquisition
- pattern recognition
- learning systems
- anomaly detection
- supervised learning
- active learning
- false positives
- model selection
- genetic programming
- information extraction
- inductive logic programming
- data analysis
- feature selection