TY - GEN
T1 - RSSI-based device free localization for elderly care application
AU - Shukri, Shaufikah
AU - Kamarudin, Latifah Munirah
AU - Ndzi, David Lorater
AU - Zakaria, Ammar
AU - Azemi, Saidatul Norlyna
AU - Kamarudin, Kamarulzaman
AU - Zakaria, Syed Muhammad Mamduh Syed
PY - 2017/4/24
Y1 - 2017/4/24
N2 - Device-Free Localization (DFL) is an effective human localizing system that exploits changes in radio signals strength of radio network. DFL is playing a critical role in many applications such as elderly care, intrusion detection, smart home, etc. DFL is ideal for monitoring the elderly activities without causing any physical discomfort with the wearable devices. It is challenging for elderly to remember each day to wear or to activate those devices. The purpose of this study is to select the best DFL methods in term of detection and tracking accuracy, which is suitable for human monitoring application especially for elderly and disable people. This paper proposes an RSSI-based DFL system that can be used to detect and locate elderly people in an area of interest (AoI) using changes in signal strength measurements. An attenuation-based and variance based methods have been introduced in the proposed DFL system. In stationary people scenario, attenuation-based method managed to accurately detect the presence of human, which is very suitable for elderly care application compared to variance-based DFL. The result shows that attenuation-based method managed to detect all trajectories of moving people with 100% detection accuracy while variance-based method only give 71.74% accuracy.
AB - Device-Free Localization (DFL) is an effective human localizing system that exploits changes in radio signals strength of radio network. DFL is playing a critical role in many applications such as elderly care, intrusion detection, smart home, etc. DFL is ideal for monitoring the elderly activities without causing any physical discomfort with the wearable devices. It is challenging for elderly to remember each day to wear or to activate those devices. The purpose of this study is to select the best DFL methods in term of detection and tracking accuracy, which is suitable for human monitoring application especially for elderly and disable people. This paper proposes an RSSI-based DFL system that can be used to detect and locate elderly people in an area of interest (AoI) using changes in signal strength measurements. An attenuation-based and variance based methods have been introduced in the proposed DFL system. In stationary people scenario, attenuation-based method managed to accurately detect the presence of human, which is very suitable for elderly care application compared to variance-based DFL. The result shows that attenuation-based method managed to detect all trajectories of moving people with 100% detection accuracy while variance-based method only give 71.74% accuracy.
KW - Device-free localization
KW - Elderly care application
KW - Indoor detection
KW - IoT
KW - RSSI
KW - WSN
UR - http://www.scopus.com/inward/record.url?scp=85024363629&partnerID=8YFLogxK
U2 - 10.5220/0006361901250135
DO - 10.5220/0006361901250135
M3 - Conference contribution
AN - SCOPUS:85024363629
T3 - IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
SP - 125
EP - 135
BT - IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
A2 - Ramachandran, Muthu
A2 - Munoz, Victor Mendez
A2 - Kantere, Verena
A2 - Wills, Gary
A2 - Walters, Robert
A2 - Chang, Victor
PB - SciTePress
T2 - 2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017
Y2 - 24 April 2017 through 26 April 2017
ER -