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Open AccessArticle

Multi-Residential Activity Labelling in Smart Homes with Wearable Tags Using BLE Technology

1
Deloitte Consulting Pty Ltd., Riverside Center, Brisbane 4000, Australia
2
CSIRO Australian e-Health Research Center, Butterfield St & Bowen Bridge Rd, Herston, QLD 4029, Australia
3
Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(3), 908; https://doi.org/10.3390/s18030908
Received: 14 January 2018 / Revised: 7 March 2018 / Accepted: 14 March 2018 / Published: 19 March 2018
Smart home platforms show promising outcomes to provide a better quality of life for residents in their homes. One of the main challenges that exists with these platforms in multi-residential houses is activity labeling. As most of the activity sensors do not provide any information regarding the identity of the person who triggers them, it is difficult to label the sensor events in multi-residential smart homes. To deal with this challenge, individual localization in different areas can be a promising solution. The localization information can be used to automatically label the activity sensor data to individuals. Bluetooth low energy (BLE) is a promising technology for this application due to how easy it is to implement and its low energy footprint. In this approach, individuals wear a tag that broadcasts its unique identity (ID) in certain time intervals, while fixed scanners listen to the broadcasting packet to localize the tag and the individual. However, the localization accuracy of this method depends greatly on different settings of broadcasting signal strength, and the time interval of BLE tags. To achieve the best localization accuracy, this paper studies the impacts of different advertising time intervals and power levels, and proposes an efficient and applicable algorithm to select optimal value settings of BLE sensors. Moreover, it proposes an automatic activity labeling method, through integrating BLE localization information and ambient sensor data. The applicability and effectiveness of the proposed structure is also demonstrated in a real multi-resident smart home scenario. View Full-Text
Keywords: smart home; activity labelling; BLE; multi-residency; embedded system; wearable tags smart home; activity labelling; BLE; multi-residency; embedded system; wearable tags
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MDPI and ACS Style

Mokhtari, G.; Anvari-Moghaddam, A.; Zhang, Q.; Karunanithi, M. Multi-Residential Activity Labelling in Smart Homes with Wearable Tags Using BLE Technology. Sensors 2018, 18, 908. https://doi.org/10.3390/s18030908

AMA Style

Mokhtari G, Anvari-Moghaddam A, Zhang Q, Karunanithi M. Multi-Residential Activity Labelling in Smart Homes with Wearable Tags Using BLE Technology. Sensors. 2018; 18(3):908. https://doi.org/10.3390/s18030908

Chicago/Turabian Style

Mokhtari, Ghassem; Anvari-Moghaddam, Amjad; Zhang, Qing; Karunanithi, Mohanraj. 2018. "Multi-Residential Activity Labelling in Smart Homes with Wearable Tags Using BLE Technology" Sensors 18, no. 3: 908. https://doi.org/10.3390/s18030908

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