Real-time prediction of length of stay using passive Wi-Fi sensing

• Main Authors: LE, Truc Viet, SONG, Baoyang, WYNTER, Laura
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Wireless fidelity; Mobile handsets; Probes; Real-time systems; Servers; Sensors; Support vector machines; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3958; https://ink.library.smu.edu.sg/context/sis_research/article/4960/viewcontent/Real_timePredictionLoS_WiFi_2017.pdf
• Institution: Singapore Management University

The proliferation of wireless technologies in today's everyday life is one of the key drivers of the Internet of Things (IoT). In addition to being an enabler of connectivity, the vast penetration of wireless devices today gives rise to a secondary functionality as a means of tracking and local...