Characterization of a multi-user indoor positioning system based on low cost depth vision (Kinect) for monitoring human activity in a smart home.
Loïc SevrinNorbert NouryNacer AbouchiFabrice JumelBertrand MassotJacques SaraydaryanPublished in: EMBC (2015)
Keyphrases
- smart home
- human activities
- multi user
- indoor positioning
- low cost
- wifi
- activity recognition
- depth map
- real time
- daily activities
- depth information
- depth images
- human activity recognition
- human computer interaction
- virtual environment
- smart home environment
- assisted living
- virtual world
- augmented reality
- user interface
- ubiquitous computing
- computer vision
- ubiquitous environments
- multiple users
- sensor data
- human actions
- ambient assisted living
- home environment
- smart environments
- monitoring system
- single user
- action recognition
- embedded systems
- three dimensional
- hardware and software
- user activities
- home environments
- intelligent agents
- decision trees
- data mining