Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments

Date

2015-11-05

Author

Jia, Ruoxi
Jin, Ming
Zou, Han
Yesilata, Yigitcan
Xie, Lihua
Spanos, Costas

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

145
views

0
downloads

Estimating an occupant's location is arguably the most fundamental sensing task in smart buildings. Existing indoor tracking systems require occupants to carry specialized devices or install programs on their smartphones to collect inertial sensing data. In this paper, we propose MapSentinel, which performs non-intrusive location sensing based on WiFi access points and ultrasonic sensors. MapSentinel also combines the noisy sensor readings with the floormap information. Instead of using floormap merely to conduct sanity check of walking trajectories, we exploit the motion characteristics of occupants available from the floormap to enhance our location estimation. The fusion of heterogeneous information is theoretically formulated within the Factor Graph framework and the inference algorithm based on Particle Filtering is developed to efficiently solve real-time walking trajectories. Our evaluation in a large office space shows that the MapSentinel can achieve significant accuracy improvements compared with the purely WiFi-based tracking system.

Subject Keywords

Indoor tracking systems, Non-intrusive, Map-aided, WiFi, Ultrasonic sensor network, Particle filters

URI

https://hdl.handle.net/11511/68254

DOI

https://doi.org/10.1145/2821650.2830302

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

MapSentinel: Can the Knowledge of Space Use Improve Indoor Tracking Further? Jia, Ruoxi; Jin, Ming; Zou, Han; Yeşilata, Yiğitcan; Xie, Lihua; Spanos, Costas (MDPI AG, 2016-4-2) Estimating an occupant's location is arguably the most fundamental sensing task in smart buildings. The applications for fine-grained, responsive building operations require the location sensing systems to provide location estimates in real time, also known as indoor tracking. Existing indoor tracking systems require occupants to carry specialized devices or install programs on their smartphone to collect inertial sensing data. In this paper, we propose MapSentinel, which performs non-intrusive location sen...
Comparison Of Structural Responses for a Base Isolated Building Under Real and Simulated Records Ozsarac, Volkan; Karim Zadeh Naghshineh, Shaghayegh; Askan, Ayşegül (null; 2019-06-01) In recent decades, base isolation systems for buildings are commonly used as retrofitting strategy in earthquake-prone areas. Evaluation of structural responses for base-isolated systems subjected to severe earthquakes is challenging since some regions have scattered ground motion dataset. Simulated ground motions can be an alternative to overcome this issue. There are several ground motion simulation methods available that provide varying levels of goodness fit between observed and synthetic data; therefor...
Immune system-based energy efficient and reliable communication in wireless sensor networks Atakan, Baris; Akan, Oezguer B. (2006-12-01) Wireless sensor networks (WSNs) are event-based systems that rely on the collective effort of densely deployed sensor nodes. Due to the dense deployment, since sensor observations are spatially correlated with respect to location of sensor nodes, it may not be necessary for every sensor node to transmit its data. Therefore, due to the resource constraints of sensor nodes, it is imperative to select the minimum number of sensor nodes to transmit the data to the sink. Furthermore, to achieve the application-s...
Pedestrian tracking with an infrared sensor using road network information Skoglar, Per; Orguner, Umut; Tornqvist, David; Gustafsson, Fredrik (2012-02-14) This article presents a pedestrian tracking methodology using an infrared sensor for surveillance applications. A distinctive feature of this study compared to the existing pedestrian tracking approaches is that the road network information is utilized for performance enhancement. A multiple model particle filter, which uses two different motion models, is designed for enabling the tracking of both road-constrained (on-road) and unconstrained (off-road) targets. The lateral position of the pedestrians on th...
Immune system based distributed node and rate selection in wireless sensor networks Atakan, Baris; Akan, Ozguer B. (2006-12-13) Wireless sensor networks (WSNs) are event-based systems that rely on the collective effort of dense deployed sensor nodes. Due to the dense deployment, since sensor observations are spatially correlated with respect to spatial location of sensor nodes, it may not be necessary for every sensor node to transmit its data. Therefore, due to the resource constraints of sensor nodes it is needed to select the minimum number of sensor nodes to transmit the data to the sink. Furthermore, to achieve the application-...

Citation Formats

R. Jia, M. Jin, H. Zou, Y. Yesilata, L. Xie, and C. Spanos, “Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments,” pp. 109–110, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68254.