Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2015
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).
Keywords
capacitive sensing, occupancy detection, hogging detection, electric field sensing, inductive proximity sensing
Discipline
Computer Sciences | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
IoT-App '15: Proceedings of the 2015 International Workshop on Internet of Things towards Applications: Seoul, Korea, November 1
First Page
29
Last Page
34
ISBN
9781450338387
Identifier
10.1145/2820975.2820981
Publisher
ACM
City or Country
New York
Citation
NGUYEN, Huy Hoang; 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. 29-34.
Available at: https://ink.library.smu.edu.sg/sis_research/3118
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2820975.2820981