A performance comparison of machine learning classification approaches for robust activity of daily living recognition.
Rida Ghafoor HussainMustansar Ali GhazanfarMuhammad Awais AzamUsman NaeemShafiq ur RéhmanPublished in: Artif. Intell. Rev. (2019)
Keyphrases
- machine learning
- daily living
- pattern recognition
- machine learning methods
- machine learning algorithms
- machine learning approaches
- feature extraction
- automatic recognition
- supervised machine learning
- decision trees
- object classification
- daily activities
- supervised classification
- unsupervised learning
- text classification
- human activities
- supervised learning
- support vector machine
- robust detection
- partial occlusion
- robust classification
- feature selection
- activity recognition
- recognition rate
- classification accuracy
- feature vectors
- model selection
- handwritten digits
- correct recognition
- object recognition
- ambient intelligence
- inductive logic programming
- action recognition
- recognition algorithm
- text categorization
- semi supervised learning
- information extraction
- management system