Real-time Detection of Seat Occupancy and Hogging
Conference Proceeding Article
In this paper, we propose a cheap and effective solution to detect if specific seats at a shared public table are occupied -- either by humans or by objects (i.e., the seats are being "hogged"). The hogging of seats, in particular, is a big problem for our campus library and required a large amount of manpower to correct (to find and clear hogged seats). We propose using two different cheap sensors, a capacitance sensor and an infrared (IR) sensor, to solve this problem. In the rest of this paper, we show how using these sensors can accurately determine if a seat is occupied by a human or empty. We then show that the capacitance sensor can also accurately distinguish between three different states; 1) seat is empty, 2) seat is occupied by a human, c) seat is empty, but table area at seat is occupied (by a book, laptop, etc. i.e., it is possibly hogged).
Computer Sciences | Software Engineering
Software and Cyber-Physical Systems
IoT-App '15: Proceedings of the 2015 International Workshop on Internet of Things towards Applications: Seoul, Korea, November 1, 2015
City or Country
NGUYEN HUY HOANG HUY; GULATI, Nakul; LEE, Youngki; and BALAN, Rajesh Krishna.
Real-time Detection of Seat Occupancy and Hogging. (2015). IoT-App '15: Proceedings of the 2015 International Workshop on Internet of Things towards Applications: Seoul, Korea, November 1, 2015. 29-34. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3118