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Indoor Place Prediction on Smart Phones
Pritam Sen
, Xiaopeng Jiang
, Qiong Wu
, Manoop Talasila
, Wen Ling Hsu
,
Cristian Borcea
Computer Science
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
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Dive into the research topics of 'Indoor Place Prediction on Smart Phones'. Together they form a unique fingerprint.
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Computer Science
Android
100%
User Data
100%
Augmented Reality
100%
Experimental Result
100%
User Privacy
100%
Access Point
100%
Wireless Access Point
100%
Prediction Accuracy
100%
Resource Consumption
100%
Memory Model
100%
Location Privacy
100%
Historical Information
100%
Long Short-Term Memory Network
100%
Keyphrases
Smartphone
100%
Indoor Location
100%
Low Latency
50%
Mobile Users
25%
Localization Technique
25%
Wireless
25%
Prediction Accuracy
25%
User Location
25%
Augmented Reality
25%
Wi-Fi Networks
25%
Android
25%
Smart Home
25%
Assisted Living
25%
User Privacy
25%
User Data
25%
Sensor Data
25%
Indoor Space
25%
Wireless Access Point
25%
Bidirectional Long Short-term Memory (BiLSTM)
25%
Estimated Distance
25%
Location Tracking
25%
Location Privacy
25%
Prediction Tree
25%
Inertial Sensors
25%
Historical Information
25%
Current Trajectory
25%
Complex Infrastructures
25%
Attention-based
25%
Place Names
25%
Emergency Service
25%
Low Resource Consumption
25%
Place Visit
25%
Phone Data
25%
Wi-Fi RTT
25%