Poster: am i indoor or outdoor?

Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The environmental context of a mobile device determines where/how it is used, which can be exploited for efficient operation and better usability. In this work we describe a general method using only the lightweight sensors on a smartphone to detect if a device is indoor or outdoor. Using semi-supervised machine learning techniques, our method automatically learns characteristics of new environments and devices, thereby achieves detection accuracy of over 90% even in unfamiliar circumstances. Therefore, it easily outperforms existing indoor-outdoor detection techniques based on static algorithms, or relying on energy hungry and unreliable GPS.
Original languageEnglish
Title of host publicationThe 20th Annual International Conference on Mobile Computing and Networking, MobiCom'14, Maui, HI, USA, September 7-11, 2014
Number of pages4
ISBN (Print)978-1-4503-2783-1
Publication statusPublished - 2014


Dive into the research topics of 'Poster: am i indoor or outdoor?'. Together they form a unique fingerprint.

Cite this