Demo: An immersive visualization of micro-climatic data using USC AiR

, Bogosian, Biayna, Vasudeva, Kunal, Sriramaraju, Sushanth Ikshwaku, Patel, Jay, Amidwar, Shubhesh, Malladi, Lavanya, Shylaja, Rohan Doddaiah, Kumar, Nishant Revur Bharath, & Krishnamachari, Bhaskar (2019) Demo: An immersive visualization of micro-climatic data using USC AiR. In MobiSys '19: Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery (ACM), United States of America, pp. 675-676.

View at publisher

Description

The air pollution level is increasing globally at an alarming rate. In the last two decades, many cities have adopted policies to control the emission of pollutants to the atmosphere as well as to promote sustainable urban developments. However, many of these initiatives have concluded that a long term success would require investing in the environmental literacy of the general population. In this demonstration paper, we present USC AiR, a mobile application that translates the air quality sensor feeds from the CCITI smart campus testbed into augmented reality visualizations for the USC community. USC AiR also allows users to report alarming air quality conditions and recommend environmental interventions such as planting trees. We believe that the integration of augmented reality for air quality monitoring enables the citizens to become more engaged with the air quality data while encouraging them to contribute to the reduction of anthropogenic air pollutants.

Impact and interest:

6 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 209287
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
Ramachandran, Gowri Sankarorcid.org/0000-0001-5944-1335
Measurements or Duration: 2 pages
Keywords: Air Quality, Augmented Reality, IoT, Mixed Reality, Smart Campus, Smart City
DOI: 10.1145/3307334.3328577
ISBN: 9781450366618
Pure ID: 76724006
Copyright Owner: 2019 Copyright held by the owner/author(s).
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 29 Mar 2021 01:23
Last Modified: 21 Jun 2024 10:34