Classification of Movement of People with Parkinsons Disease Using Wearable Inertial Movement Units and Machine Learning.
David IrelandZiwei WangRobyn LamontJacki LiddlePublished in: HIC (2016)
Keyphrases
- machine learning
- decision trees
- pattern recognition
- text classification
- support vector machine
- supervised machine learning
- machine learning methods
- supervised classification
- feature selection
- supervised learning
- support vector
- trajectory data
- machine learning algorithms
- classification accuracy
- natural language processing
- learning algorithm
- classification scheme
- pattern classification
- unsupervised learning
- human computer interaction
- disease diagnosis
- activity recognition
- machine learning approaches
- neural network
- classification algorithm
- augmented reality
- support vector machine svm
- model selection
- feature extraction
- computer vision
- ambient intelligence
- classification rules
- gesture recognition
- image classification
- multi class
- feature space
- preprocessing