Smartphone Indoor Localizations using Semi-Supervised Learning for Smart Offices

Zhao, Zhongliang; Carrera Villacrés, José Luis; Braun, Torsten; Kuendig, Stephane; Rolim, Jose (September 2017). Smartphone Indoor Localizations using Semi-Supervised Learning for Smart Offices (Unpublished)

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Accurate and reliable smartphone indoor localization is fundamental for indoor location-based services (LBS). Smart environments, such as smart offices, interconnect office facilities, indoor wireless sensor and actuator networks (WSANs), smartphones, and human to provide comfortable user experiences. To smoothly integrate the localization algorithms with WSAN infrastructures, a combination of both hardware and software components is required. In this work, we present a system for creating indoor location-aware smart office environments using wireless sensor and actuator networks. Our system includes a smartphone indoor localization module, a WSAN responsible for environmental monitoring and actuator activation, and a gateway that interconnects WSAN, indoor localization module with smartphone users. To reduce the efforts of data collection, we have designed a semi-supervised learning-based indoor localization mechanism, which uses only a small amount of labeled data and a big amount of unlabeled data. The system is based on data fusion of Wi-Fi RSSI and smartphone onboard IMU readings. We implemented a system prototype and performed intensive experiments in indoor office environments to evaluate the system performance. The system could accurately locate real-time positions of occupants, which could trigger the retrieval of environmental measurements and activate the office appliances automatically (e.g. turn on/off lights) based on the estimated locations and correlated environmental sensor information.

Item Type:

Working Paper

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Zhao, Zhongliang, Carrera Villacrés, José Luis, Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

Language:

English

Submitter:

Dimitrios Xenakis

Date Deposited:

09 Nov 2017 17:18

Last Modified:

05 Dec 2022 15:08

URI:

https://boris.unibe.ch/id/eprint/106836

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