Clustering-based activity classification with a wrist-worn accelerometer using basic features.
Pekka SiirtolaPerttu LaurinenEija HaapalainenJuha RöningHannu KinnunenPublished in: CIDM (2009)
Keyphrases
- classification accuracy
- feature vectors
- classification method
- feature extraction
- feature set
- feature space
- classification process
- benchmark datasets
- class labels
- classification models
- activity recognition
- svm classifier
- extracted features
- pattern classification
- high dimensionality
- low level
- automatic classification
- classification algorithm
- feature selection algorithms
- irrelevant features
- features extraction
- classification scheme
- feature values
- feature analysis
- machine learning
- training samples
- text classification
- image classification
- support vector machine
- eeg signals
- feature weights
- gender classification
- feature reduction
- textural features
- feature construction
- support vector machine svm
- support vector
- image features
- pattern recognition
- preprocessing