Skip to main navigation
Skip to search
Skip to main content
Ulster University Home
Home
Researchers
Research units
Research output
Student theses
Datasets
Activities
Press/Media
Prizes
Search by expertise, name or affiliation
HABITS: a Bayesian filter approach to indoor tracking and location
E Furey,
K Curran
, P McKevitt
School of Computing, Eng & Intel. Sys
Faculty Of Computing, Eng. & Built Env.
Faculty of Arts, Humanities & Social Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Citations (Scopus)
84
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'HABITS: a Bayesian filter approach to indoor tracking and location'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Tracking System
100%
History
55%
Filter
54%
Wi-Fi
45%
Real-time
41%
Prediction
19%
Wireless Networks
16%
Latency
16%
Standards
13%
Doubling
13%
Term
13%
Movement
12%
Predict
11%
Human
11%
Costs
8%
Testing
8%
Model
4%
Engineering & Materials Science
Wi-Fi
45%
Real time systems
20%
Wireless networks
16%
Testing
10%
Costs
7%