TY - GEN
T1 - Sensing and classifying indoor environments
T2 - 12th IEEE Sensors Applications Symposium, SAS 2017
AU - Aman, Md Sayedul
AU - Quint, Cuyler D.
AU - Abdelgawad, Ahmed
AU - Yelamarthi, Kumar
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/4/6
Y1 - 2017/4/6
N2 - Tour guide system, as referred by the name, is a system used for assisting visitors during a tour of a certain place. Increasing tour efficiency while minimizing resources required has been studied by many researchers. The traditional multilingual human tour guides limit in the fact that, they cannot provide personalized information to every visitor because of time constraint. Also, having persons to assist tourists as a guide is expensive. Some tour guide robots and devices were presented in previous works to overcome certain limitations, but some challenges still exist. In this work, an indoor location-aware portable device is presented aiming at improving the user's experience during a tour of an indoor facility. The proposed system can provide personalized audio-visual information based on the location of the visitor, making the visitors independent of following a guide. The core of the module is a Raspberry Pi 3 with Bluetooth Low Energy (BLE) and Wi-Fi transceivers. Localization is performed using iBeacons, and RFID technology is used to identify certain objects. The Thingworx platform has been used as the application cloud server while YouTube has been used to present visual feedback to the user.
AB - Tour guide system, as referred by the name, is a system used for assisting visitors during a tour of a certain place. Increasing tour efficiency while minimizing resources required has been studied by many researchers. The traditional multilingual human tour guides limit in the fact that, they cannot provide personalized information to every visitor because of time constraint. Also, having persons to assist tourists as a guide is expensive. Some tour guide robots and devices were presented in previous works to overcome certain limitations, but some challenges still exist. In this work, an indoor location-aware portable device is presented aiming at improving the user's experience during a tour of an indoor facility. The proposed system can provide personalized audio-visual information based on the location of the visitor, making the visitors independent of following a guide. The core of the module is a Raspberry Pi 3 with Bluetooth Low Energy (BLE) and Wi-Fi transceivers. Localization is performed using iBeacons, and RFID technology is used to identify certain objects. The Thingworx platform has been used as the application cloud server while YouTube has been used to present visual feedback to the user.
KW - BLE
KW - Internet of things
KW - RFID
KW - iBeacon
KW - location aware system
KW - tour guide
UR - http://www.scopus.com/inward/record.url?scp=85018301788&partnerID=8YFLogxK
U2 - 10.1109/SAS.2017.7894055
DO - 10.1109/SAS.2017.7894055
M3 - Conference contribution
AN - SCOPUS:85018301788
T3 - SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings
BT - SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 March 2017 through 15 March 2017
ER -