A comparative study on recognizing human activities by applying diverse Machine Learning approaches.
Lamprini PappaPetros S. KarvelisChrysostomos D. StyliosPublished in: EMBC (2022)
Keyphrases
- machine learning approaches
- human activities
- activity recognition
- human activity recognition
- machine learning methods
- sensor data
- machine learning
- visual surveillance
- human computer interaction
- machine learning models
- machine learning algorithms
- action primitives
- human actions
- action recognition
- ubiquitous computing
- video images
- data mining methods
- activity analysis
- daily life
- human knowledge
- human behaviour
- real world
- temporal structure
- ambient assisted living
- expert systems
- daily activities
- feature selection
- user interface
- data sets
- ambient intelligence