SurroundSense: mobile phone localization via ambience fingerprinting Export

@inproceedings{azizyan:surroundsense, abstract = {A growing number of mobile computing applications are centered around the user's location. The notion of location is broad, ranging from physical coordinates (latitude/longitude) to logical labels (like Starbucks, McDonalds). While extensive research has been performed in physical localization, there have been few attempts in recognizing logical locations. This paper argues that the increasing number of sensors on mobile phones presents new opportunities for logical localization. We postulate that ambient sound, light, and color in a place convey a photo-acoustic signature that can be sensed by the phone's camera and microphone. In-built accelerometers in some phones may also be useful in inferring broad classes of user-motion, often dictated by the nature of the place. By combining these optical, acoustic, and motion attributes, it may be feasible to construct an identifiable fingerprint for logical localization. Hence, users in adjacent stores can be separated logically, even when their physical positions are extremely close. We propose SurroundSense, a mobile phone based system that explores logical localization via ambience fingerprinting. Evaluation results from 51 different stores show that SurroundSense can achieve an average accuracy of 87\% when all sensing modalities are employed. We believe this is an encouraging result, opening new possibilities in indoor localization.}, address = {New York, NY, USA}, author = {Azizyan, Martin and Constandache, Ionut and Choudhury, Romit R.}, booktitle = {MobiCom '09: Proceedings of the 15th annual international conference on Mobile computing and networking}, citeulike-article-id = {5819526}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1614320.1614350}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1614320.1614350}, doi = {10.1145/1614320.1614350}, isbn = {978-1-60558-702-8}, keywords = {audio, localisation, mobile-phone, sound}, location = {Beijing, China}, pages = {261--272}, posted-at = {2009-09-22 10:32:29}, priority = {2}, publisher = {ACM}, title = {{SurroundSense}: mobile phone localization via ambience fingerprinting}, url = {http://dx.doi.org/10.1145/1614320.1614350}, year = {2009} }

TY - CONF ID - azizyan:surroundsense L3 - citeulike-article-id:5819526 N2 - A growing number of mobile computing applications are centered around the user's location. The notion of location is broad, ranging from physical coordinates (latitude/longitude) to logical labels (like Starbucks, McDonalds). While extensive research has been performed in physical localization, there have been few attempts in recognizing logical locations. This paper argues that the increasing number of sensors on mobile phones presents new opportunities for logical localization. We postulate that ambient sound, light, and color in a place convey a photo-acoustic signature that can be sensed by the phone's camera and microphone. In-built accelerometers in some phones may also be useful in inferring broad classes of user-motion, often dictated by the nature of the place. By combining these optical, acoustic, and motion attributes, it may be feasible to construct an identifiable fingerprint for logical localization. Hence, users in adjacent stores can be separated logically, even when their physical positions are extremely close. We propose SurroundSense, a mobile phone based system that explores logical localization via ambience fingerprinting. Evaluation results from 51 different stores show that SurroundSense can achieve an average accuracy of 87% when all sensing modalities are employed. We believe this is an encouraging result, opening new possibilities in indoor localization. CY - Beijing, China SN - 978-1-60558-702-8 AD - New York, NY, USA EP - 272 TI - {SurroundSense}: mobile phone localization via ambience fingerprinting PB - ACM T2 - MobiCom '09: Proceedings of the 15th annual international conference on Mobile computing and networking SP - 261 KW - audio KW - localisation KW - mobile-phone KW - sound AU - Azizyan, Martin AU - Constandache, Ionut AU - Choudhury, Romit PY - 2009/// UR - http://dx.doi.org/10.1145/1614320.1614350 ER -