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: CoRR (2016)
Keyphrases
- smart home
- human activities
- multi user
- indoor positioning
- low cost
- wifi
- depth map
- activity recognition
- real time
- depth information
- daily activities
- depth images
- human activity recognition
- human computer interaction
- virtual environment
- user interface
- augmented reality
- sensor data
- virtual world
- smart home environment
- ubiquitous computing
- assisted living
- smart environments
- single user
- computer vision
- human actions
- action recognition
- monitoring system
- multiple users
- ambient assisted living
- user activities
- ubiquitous environments
- hardware and software
- home environment
- embedded systems
- three dimensional
- home environments
- remote monitoring
- sensor networks