AmbientSense: A real-time ambient sound recognition system for smartphones

2013 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2013

Volumn , Issue , 2013, Pages 230-235

  Rossi, Mirco ^a   Feese, Sebastian ^a   Amft, Oliver ^b   Braune, Nils ^a   Martis, Sandro ^a   Troster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AMBIENT SOUNDS; AUDIO FEATURES; AUTONOMOUS MODE; CLASSIFICATION RESULTS; DAILY LIVES; REAL-TIME FEEDBACK; RECOGNITION PERFORMANCE; USER CONTEXT;

CHARGING (BATTERIES); SIGNAL ENCODING; TELEPHONE SETS; UBIQUITOUS COMPUTING;

SMARTPHONES;

EID: 84881510402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerComW.2013.6529487     Document Type: Conference Paper

References (13)

1. J. Chen, A. H. Kam, J. Zhang, N. Liu, and L. Shue, \Bathroom activity monitoring based on sound," in In Third International Conference on Pervasive Computing, 2005, pp. 47{61.
2. A. J. Eronen, V. T. Peltonen, J. T. Tuomi, A. P. Klapuri, S. Fagerlund, T. Sorsa, G. Lorho, and J. Huopaniemi, \Audio-based context recognition," IEEE Transactions on Au-dio, Speech, and Language Processing, vol. 14(1), pp. 321{329, 2006.
3. A. Mesaros, T. Heittola, A. Eronen, and T. Virtanen, \Acoustic event detection in real-life recordings," in 18th European Signal Processing Conference, 2010, pp. 1267{1271.
4. M. Rossi, O. Amft, and G. Tröster, \Collaborative personal speaker identi cation: A generalized approach pervasive and mobile computing," Elsevier Pervasive and Mobile Computing (PMC), vol. 8(3), pp. 1574{1192, 2012.
5. T. Franke, P. Lukowicz, K. Kunze, and D. Bannach, \Can a mobile phone in a pocket reliably recognize ambient sounds?" in International Symposium on Wearable Computers (ISWC '09), 2009, pp. 161{162.
6. M. Stager, P. Lukowicz, and G. Troster, \Implementation and evaluation of a low-power sound-based user activity recognition system," in Eighth International Symposium on Wearable Com-puters (ISWC '04), 2004, pp. 138{141.
7. E. Miluzzo, N. D. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. B. Eisenman, X. Zheng, and A. Campbell, \Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application," in Proceedings of the 6th ACM conference on Embedded network sensor systems, 2008, pp. 337{350.
8. N. Sawhney and C. Schmandt, \Nomadic radio: Speech and audio interaction for contextual messaging in nomadic environments," ACM Trans. Computer Human Interaction, vol. 7(3), pp. 353{383, 2000.
9. H. Lu, A. J. B. Brush, B. Priyantha, A. K. Karlson, and J. Liu, \Speakersense: Energy e cient unobtrusive speaker identi cation on mobile phones," in The Ninth International Conference on Pervasive Computing, 2011, pp. 188{205.
10. H. Lu,W. Pan, N. D. Lane, T. Choudhury, and A. T. Campbell, \Soundsense: Scalable sound sensing for people-centric applications on mobile phones." in Proceedings of the 7th international conference on Mobile systems, applications, and services (Mo-biSys '09), 2009, pp. 165{178.
11. G. Chechik, E. Ie, M. Rehn, S. Bengio, and D. Lyon, \Largescale content-based audio retrieval from text queries," in Pro-ceeding of the 1st ACM international conference on Multimedia information retrieval, 2008, pp. 105{112.
12. C.-C. Chang and C.-J. Lin, \Libsvm: A library for support vector machines."ACM Transactions on Intelligent Systems and Technology, vol. 2(3), pp. 188{205, 2011.
13. funfjopen sensing framework: http://funf.media.mit.edu/.