Autonomous learning of speaker identity and WiFi geofence from noisy sensor data
A fundamental building block towards intelligent environments is the ability to understand who is present in a certain area. A ubiquitous way of detecting this is to exploit unique vocal characteristics as people interact with one another in common spaces. However, manually enrolling users into a bi...
Main Authors: | Lu, C, Xiangli, Y, Zhao, P, Chen, C, Trigoni, N, Markham, A |
---|---|
Format: | Journal article |
Jezik: | English |
Izdano: |
Institute of Electrical and Electronics Engineers
2019
|
Podobne knjige/članki
-
Poster: WiFi sensors meet visual tracking for an accurate positioning system
od: Papaioannou, S, et al.
Izdano: (2014) -
SCAN: Learning speaker identity from noisy sensor data
od: Lu, C, et al.
Izdano: (2017) -
Robust Occupancy Inference with Commodity WiFi
od: Lu, X, et al.
Izdano: (2016) -
WiFi-ID: Human identification using WiFi signal
od: Zhang, J, et al.
Izdano: (2016) -
Does BTLE measure up against WiFi? A comparison of indoor location performance
od: Zhao, X, et al.
Izdano: (2014)