Title
Real-time Detection Of Seat Occupancy & Hogging
Abstract
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).
Year
DOI
Venue
2015
10.1145/2820975.2820981
SenSys '15: The 13th ACM Conference on Embedded Network Sensor Systems Seoul South Korea November, 2015
Field
DocType
ISBN
Laptop,Simulation,Computer science,Computer network,Real-time computing,Hogging,Capacitive sensing,Occupancy
Conference
978-1-4503-3838-7
Citations 
PageRank 
References 
2
0.49
1
Authors
4
Name
Order
Citations
PageRank
Huy Hoang Nguyen121.84
Nakul Gulati220.49
Youngki Lee383270.33
Rajesh Krishna Balan4105680.30