An Immersive Visualization of Micro-climatic Data using USC AiR (demo)
| Autor: | Sushanth Ikshwaku Sriramaraju, Shubhesh Amidwar, Jay Patel, Gowri Sankar Ramachandran, Bhaskar Krishnamachari, Rohan Doddaiah Shylaja, Nishant Revur Bharath Kumar, Biayna Bogosian, Kunal Vasudeva, Lavanya Malladi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
Computer science Tree planting Testbed Population Air pollution ComputerApplications_COMPUTERSINOTHERSYSTEMS 020206 networking & telecommunications 02 engineering and technology medicine.disease_cause Mixed reality ComputerSystemsOrganization_MISCELLANEOUS Smart city 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Augmented reality education Air quality index Environmental planning |
| Zdroj: | MobiSys |
| DOI: | 10.1145/3307334.3328577 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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