Early Steps in Automated Behavior Mapping via Indoor Sensors

Loading...
Thumbnail Image
Date
2017
Authors
Kepez, Orçun
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Research Projects
Organizational Units
Journal Issue
Abstract
Behavior mapping (BM) is a spatial data collection technique in which the locational and behavioral information of a user is noted on a plan layout of the studied environment. Among many indoor positioning technologies we chose Wi-Fi BLE beacon and ultra-wide band (UWB) sensor technologies for their popularity and investigated their applicability in BM. We tested three technologies for error ranges and found an average error of 1.39 m for Wi-Fi in a 36 m(2) test area (6m x 6 m) 0.86 m for the BLE beacon in a 37.44 m(2) test area (9.6 m x 3.9 m) and 0.24 m for ultra-wide band sensors in a 36 m(2) test area (6 m x 6 m). We simulated the applicability of these error ranges for real-time locations by using a behavioral dataset collected from an active learning classroom. We used two UWB tags simultaneously by incorporating a custom-designed ceiling system in a new 39.76 m(2) test area (7.35 m x 5.41 m). We considered 26 observation points and collected data for 180 s for each point (total 4680) with an average error of 0.2072 m for 23 points inside the test area. Finally we demonstrated the use of ultra-wide band sensor technology for BM.
Description
Keywords
Sensors and technologies for indoor localization systems, Positioning strategies and algorithms, Behavior mapping, Activity monitoring, Ultra-wide band sensors
Turkish CoHE Thesis Center URL
Citation
9
WoS Q
N/A
Scopus Q
Q1
Source
Volume
17
Issue
12
Start Page
End Page