Public restroom detection on mobile phone via active probing

Proceedings - International Symposium on Wearable Computers, ISWC

Volumn , Issue , 2014, Pages 27-34

  Fan, Mingming ^a   Adams, Alexander Travis ^a   Truong, Khai N ^a  

^a University of North Carolina at Charlotte   (United States)

Author keywords

active probing; pattern recognition; restroom detection; room impulse response

Indexed keywords

IMPULSE RESPONSE; PATTERN RECOGNITION; WEARABLE TECHNOLOGY;

ACTIVE PROBING; EVALUATION RESULTS; IMAGE CAPTURES; PRIVATE SPACES; PUBLIC RESTROOMS; RESTROOM DETECTION; ROOM IMPULSE RESPONSE; SINEWAVES; SVM MODEL; WEARABLE DEVICES;

CELLULAR TELEPHONES;

EID: 84962103293     PISSN: 15504816     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2634317.2634320     Document Type: Conference Paper

References (26)

1. Agnihotri, S., Rovet, J., Cameron, D., Rasmussen, C., Ryan, J. and Keightley, M. SenseCam as an everyday memory rehabilitation tool for youth with fetal alcohol spectrum disorder. In Proc. SenseCam 2013, ACM (2013), 86-87.
2. Beritelli, F. and Grasso, R. A Pattern Recognition System for Environmental Sound Classification based on MFCCs and Neural Networks. In Proc. ICSPCS 2008, IEEE (2008), 1-4.
3. Byrne, D., Doherty, A., Jones, G., F., Smeaton, A. Kumpulainen, S. and Järvelin. K. 2008. The SenseCam as a tool for task observation. In Proc. BCS-HCI '08, Vol. 2, 2008, 19-22.
4. Caprani, N., O'Connor, N., Gurrin, C. Experiencing SenseCam: A case study interview exploring seven years living with a wearable camera. In Proc. SenseCam 2013, ACM (2013), 52-59.
5. Chang, C., Lin, C. LibSvm: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, vol. 2(3), 2011, 188-205.
6. Farina, A. Simultaneous Measurement of Impulse Response and Distortion with a Swept-Sine Technique. 108th Convention of the Audio Engineering Society, Paris, France. February 2000, 19-22.
7. Hempstalk, K., Frank, E., Witten, I. One-Class Classification by Combining Density and Class Probability Estimation. In Proc. ECML PKDD 2008, 505-519.
8. Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., Smyth, G., Kapur, N., Wood, K. SenseCam: A Retrospective Memory Aid. In Proc. Ubicomp 2006, ACM (2006), 177-193.
9. Keadle, S., Lyden, J., Hickey, A., Ray, E., Fowke, J., Freedson, P., Mattews, C. Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation. Int J Behav Nutr Phys Act, 2014, 11: 12.
10. Kerr, J., Marshall, S., Godbole, S., Chen, J., Legge, A., Doherty, A., Kelly, P., Oliver, M., Badland, H., Foster, C. Using the SenseCam to improve classifications of sedentary behavior in free-living settings. American Journal of Preventive Medicine, 44(3), 2013, 290-296.
11. Kelly, P., Marshall, S., Badland, H., Kerr, J., Oliver, M., Doherty, A., Foster, C. An ethical framework for automated, wearable cameras in health behavior research. American Journal of Preventive Medicine, 44(3), 2013, 314-319.
12. Kientz, J. A., Choe, E. K., Truong, K. N., Texting from the Toilet: Mobile Computing Use and Acceptance in Private and Public Restrooms. Knowledge Media Design Institute, University of Toronto. Technical Report KMD-13-1. April 2013.
13. Kunze, K., Lukowicz, P. Symbolic object localization through active sampling of acceleration and sound signatures. In Proc. Ubicomp'07, ACM (2007), 163-180.
14. Kuttruff, H. Room acoustics. CRC Press, 2009, 160-292.
15. Marcu, G., Dey, A., Kiesler, S. Parent-driven use of wearable cameras for autism support: A field study with families. In Proc. Ubicomp'12. ACM (2012), 401-410.
16. Peltomen, V., Tuomi, J., Klapuri, A., Huopaniemi, J. Sorsa, T. Computational auditory scene recognition. In Proc. ICASSP 2001, IEEE (2001), 1941-1944.
17. Perina, A., Jojic, N. In the sight of my wearable camera: Classifying my visual experience. Eprint arXiv: 1304. 7236, 04/2013.
18. Piccardi, L.; Noris, B.; Barbey, O.; Billard, A.; Schiavone, G.; Keller, F.; von Hofsten, C., "WearCam: A head mounted wireless camera for monitoring gaze attention and for the diagnosis of developmental disorders in young children, ". In Proc. RO-MAN 2007, IEEE (2007), 594-598.
19. Pirsiavash, H. and Ramanan, D. Detecting activities of daily living in first-person camera views. In Proc. CVPR 2012, IEEE (2012), 2847-2854.
20. Quattoni, A. and Torralba, A. Recognizing indoor scenes. In Proc. CVPR'09, IEEE (2009), 413-420.
21. Rossi, M.; Feese, S.; Amft, O.; Braune, N.; Martis, S.; Tröster, G. AmbientSense: A real-time ambient sound recognition system for smartphones. In Proc. PerCom Workshop, IEEE (2013), 230-235.
22. Rossi, M., Seiter, J., Amft, O., Buchmeier, S. and Tröster, G. RoomSense: An indoor positioning system for smartphones using active sound probing. In Proc. AH 2013, ACM (2013), 89-95.
23. Rossing, T., Moore, R., Wheeler, P. The Science of Sound, 3rd Edition. Addison-Wesley. 2001.
24. Stan, G., Embrechts, J., and Archambeau, D. Comparison of different impulse response meansurement techniques. Journal of the Audio Engineering Society, 50(4), 2002, 249-262.
25. Templeman, R., Korayem, M., Crandall, D., Kapadia, A. PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. In Proc. NDSS 2014.
26. Tian, Y., Yang, X., Yi, C. and Arditi, A. Toward a computer vision-based wayfinding aid for blind persons to access unfamiliar indoor environments. Machine Vision and Applications, 24(3), 2013, 521-535.