Recognizing the use of portable electrical devices with hand-worn magnetic sensors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6696 LNCS, Issue , 2011, Pages 276-293

  Maekawa, Takuya ^a   Kishino, Yasue ^a   Sakurai, Yasushi ^a   Suyama, Takayuki ^a  

^a NTT Communication Science Laboratories   (Japan)

Author keywords

Activity recognition; Magnetic sensor; Wearable sensing

Indexed keywords

ACTIVITY RECOGNITION; CELL PHONE; DAILY ACTIVITY; ELECTRIC SHAVERS; ELECTRICAL DEVICES; HOME ENVIRONMENT; RECOGNITION METHODS; UBIQUITOUS SENSOR; VIDEO GAME; WEARABLE SENSING; INFRASTRUCTURE-MEDIATED SENSING;

CAMERAS; COMPUTER GRAPHICS; DIGITAL DEVICES; EQUIPMENT; MAGNETIC FIELDS; MAGNETIC SENSORS; UBIQUITOUS COMPUTING; MAGNETISM; PALMPRINT RECOGNITION; WEARABLE SENSORS;

ELECTRIC SENSING DEVICES;

EID: 79958858292     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21726-5_18     Document Type: Conference Paper

References (22)

1. Bao, L., Intille, S.S.: Activity recognition from user-annotated acceleration data. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 1-17. Springer, Heidelberg (2004)
2. Blum, M., Pentland, A.S., Troster, G.: Insense: Interest-based life logging. IEEE Multimedia 13(4), 40-48 (2006)
3. Cohn, G., Gupta, S., Froehlich, J., Larson, E., Patel, S.N.: GasSense: Appliancelevel, single-point sensing of gas activity in the home. In: Floréen, P., Krüger, A., Spasojevic, M. (eds.) Pervasive Computing. LNCS, vol. 6030, pp. 265-282. Springer, Heidelberg (2010)
4. The Swedish Confederation for Professional Employees, http://www.tco.se/
5. Froehlich, J.E., Larson, E., Campbell, T., Haggerty, C., Fogarty, J., Patel, S.N.: Hydrosense: Infrastructure-mediated single-point sensing of whole-home water activity. In: Ubicomp 2009, pp. 235-244 (2009)
6. ICNIRP Guidelines. Guidelines for limiting exposure to timevarying electric, magnetic, and electromagnetic fields (up to 300 GHz). Health Physics 74(4), 494-522 (1998)
7. Huynh, T., Schiele, B.: Towards less supervision in activity recognition from wearable sensors. In: Int'l Symp. on Wearable Computers, pp. 3-10 (2006)
8. Kim, Y., Schmid, T., Charbiwala, Z.M., Srivastava, M.B.: ViridiScope: design and implementation of a fine grained power monitoring system for homes. In: Ubicomp 2009, pp. 245-254 (2009)
9. Lenz, J.E.: A review of magnetic sensors. Proceedings of the IEEE 78(6), 973-989 (1990)
10. Lester, J., Choudhury, T., Borriello, G.: A practical approach to recognizing physical activities. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968, pp. 1-16. Springer, Heidelberg (2006)
11. Lester, J., Choudhury, T., Kern, N., Borriello, G., Hannaford, B.: A hybrid discriminative/generative approach for modeling human activities. In: IJCAI 2005, pp. 766-772 (2005)
12. Lukowicz, P., Ward, J., Junker, H., Stäger, M., Tröster, G., Atrash, A., Starner, T.: Recognizing workshop activity using body worn microphones and accelerometers. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 18-32. Springer, Heidelberg (2004)
13. Maekawa, T., Yanagisawa, Y., Kishino, Y., Ishiguro, K., Kamei, K., Sakurai, Y., Okadome, T.: Object-based activity recognition with heterogeneous sensors on wrist. In: Floréen, P., Krüger, A., Spasojevic, M. (eds.) Pervasive Computing. LNCS, vol. 6030, pp. 246-264. Springer, Heidelberg (2010)
14. Maekawa, T., Yanagisawa, Y., Kishino, Y., Kamei, K., Sakurai, Y., Okadome, T.: Object-blog system for environment-generated content. IEEE Pervasive Computing 7(4), 20-27 (2008)
15. Mayol, W.W., Murray, D.W.: Wearable hand activity recognition for event summarization. In: Int'l Symp. on Wearable Computers, pp. 122-129 (2005)
16. Patel, S.N., Robertson, T., Kientz, J.A., Reynolds, M.S., Abowd, G.D.: At the flick of a switch: Detecting and classifying unique electrical events on the residential power line. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 271-288. Springer, Heidelberg (2007)
17. Philipose, M., Fishkin, K.P., Perkowitz, M.: Inferring activities from interactions with objects. IEEE Pervasive Computing 3(4), 50-57 (2004)
18. Ravi, N., Dandekar, N., Mysore, P., Littman, M.L.: Activity recognition from accelerometer data. In: IAAI 2005, vol. 20, pp. 1541-1546 (2005)
19. Tapia, E.M., Intille, S.S., Larson, K.: Activity recognition in the home using simple and ubiquitous sensors. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 158-175. Springer, Heidelberg (2004)
20. van Kasteren, T., Noulas, A., Englebienne, G., Krose, B.: Accurate activity recognition in a home setting. In: Ubicomp 2008, pp. 1-9 (2008)
21. Welch, L.R.: Hidden markov models and the baum-welch algorithm. IEEE Information Theory Society Newsletter 53(4) (2003)
22. Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, San Francisco (2004)