Wearable Sensors for Activity Analysis using SMO-based Random Forest over Smart home and Sports Datasets.
Sheikh Badar ud din TahirAhmad JalalMouazma BatoolPublished in: ICACS (2020)
Keyphrases
- random forest
- smart home
- activity recognition
- visual surveillance
- human activities
- decision trees
- base classifiers
- action recognition
- feature set
- daily life
- ensemble methods
- context aware
- event detection
- benchmark datasets
- ambient intelligence
- artificial intelligence
- smart environments
- real time
- semi supervised
- embedded systems
- multi class
- learning algorithm
- machine learning
- data sets