A practical approach based on Bluetooth Low Energy and Neural Networks for indoor localization and targeted devices' identification by smartphones.
Giovanni PauFabio ArenaMario CollottaXiangjie KongPublished in: Entertain. Comput. (2022)
Keyphrases
- indoor localization
- wifi
- low energy
- mobile devices
- smart phones
- neural network
- mobile applications
- electron microscopy
- mobile phone
- indoor environments
- wireless networks
- fall detection
- network architecture
- signal strength
- end to end
- received signal strength
- context aware
- wireless communication
- protein folding
- mobile networks
- coarse grained
- mobile users
- ad hoc networks
- back propagation
- fuzzy logic
- artificial neural networks
- location based services
- ubiquitous computing
- neural network model
- multi hop
- path planning
- mobile terminals
- location information
- fine grained
- detection algorithm
- mobile robot
- wireless sensor networks