Gaussian Mixture-based Indoor Localization via Bluetooth Low Energy Sensors.
Parvin MalekzadehMohammad SalimibeniMohammadamin AtashiMihai BarbulescuKonstantinos N. PlataniotisArash MohammadiPublished in: IEEE SENSORS (2019)
Keyphrases
- gaussian mixture
- low energy
- indoor localization
- wifi
- signal strength
- electron microscopy
- radio frequency
- mobile devices
- received signal strength
- indoor environments
- wireless networks
- wireless communication
- fall detection
- closed form
- em algorithm
- covariance matrix
- expectation maximization
- end to end
- sensor networks
- probability density function
- cluster head
- multi hop
- gaussian mixture model
- mixture model
- protein folding
- mobile phone
- base station
- smart phones
- density estimation
- location information
- ad hoc networks
- access points
- sensor data
- network architecture
- wireless sensor networks
- mobile applications
- ubiquitous computing
- mobile networks
- multipath
- urban environments
- data transmission
- smart home
- neural network
- x ray
- feature selection