Non-obstructive room-level locating system in home environments using activity fingerprints from smartwatch

UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2015, Pages 939-950

  Lee, Seungwoo ^a,c   Kim, Yungeun ^a   Ahn, Daye ^b   Ha, Rhan ^b   Lee, Kyoungwoo ^a   Cha, Hojung ^a  

^a Yonsei University   (South Korea)

^b Hong Ik University   (South Korea)

^c Sungwoo Hitech   (South Korea)

Author keywords

Context Aware Computing.; In home locating system; Machine Learning; Mobile Sensing; Occupant Tracking

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; COST EFFECTIVENESS; HIDDEN MARKOV MODELS; INTELLIGENT BUILDINGS; LEARNING SYSTEMS; MARKOV PROCESSES; SIGNAL ENCODING; SMARTPHONES; TRACKING (POSITION); UBIQUITOUS COMPUTING; WEARABLE COMPUTERS;

AUTOMATICALLY GENERATED; CONTEXT-AWARE COMPUTING; HOME AUTOMATION; HOME ENVIRONMENT; INERTIAL SENSOR; LOCATION INFORMATION; MOBILE SENSING; OCCUPANT TRACKING;

LOCATION;

EID: 84960943540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2750858.2804272     Document Type: Conference Paper

References (39)

1. J. Rekimoto, T. Miyaki, and T. Ishizawa. 2007. Lifetag: Wi-Fi-based continuous location logging for life pattern analysis. In Proceedings of the 3rd International Conference on Location-And Context-Awareness, 35-49.
2. I. Anderson, J. Maitland, S. Sherwood, L. Barkhuus, M. Chalmers, M. Hall, B. Brown, and H. Muller. 2007. Shakra: Tracking and sharing daily activity levels with unaugmented mobile phones. Mobile Netw Appl 12, 2-3: 185-199.
3. A. R. Kaushik and B. G. Celler. 2007. Characterization of PIR detector for monitoring occupancy patterns and functional health status of elderly people living alone at home. Technol Health Care 15, 4: 273-288.
4. P. Sánchez, M. Jiménez, F. Rosique, B. Álvarez, and A. Iborra. 2011. A framework for developing home automation systems: from requirements to code. J Syst Software 84, 6: 1008-1021.
5. S. Lee, D. Ahn, S. Lee, R. Ha, and H. Cha. 2014. Personalized energy auditor: Estimating personal electricity usage. In The 11th IEEE International Conference on Pervasive Computing and Communications (PerCom 2014), 44-49.
6. V. L. Erickson, M. A. Carreira-Perpinan, and A. E. Cerpa. 2011. OBSERVE: Occupancy-based system for efficient reduction of HVAC energy. In Proceedings IPSN 2011, 258-269.
7. A. Kamthe, L. Jiang, M. Dudys, and A. Cerpa. 2009. Scopes: Smart cameras object position estimation system. Wireless Sensor Networks 279-295.
8. J. Ranjan, Y. Yao, and K. Whitehouse. 2013. An RF doormat for tracking peoples room locations. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 797-800.
9. T. W. Hnat, E. Griffiths, R. Dawson, and K. Whitehouse. 2012. Doorjamb: Unobtrusive room-level tracking of people in homes using doorway sensors. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, 309-322.
10. J. Wilson and N. Patwari. 2011. See-Through walls: Motion tracking using variance-based radio tomography networks. IEEE Trans Mobile Comput 10, 5: 612-621.
11. E. K. Choe, S. Consolvo, J. Jung, B. Harrison, and J. A. Kientz. 2011. Living in a glass house: A survey of private moments in the home. In Proceedings of the 13th International Conference on Ubiquitous Computing, 41-44.
12. B. Song, H. Choi, and H. S. Lee. 2008. Surveillance tracking system using passive infrared motion sensors in wireless sensor network. In Proceedings of International Conference on Information Networking (ICOIN 2008), 1-5.
13. U. Steinhoff and B. Schiele. 2009. Dead reckoning from the pocket-An experimental study. In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PERCOM 2009), 162-170.
14. Y. Kim, Y. Chon, and H. Cha. 2012. Smartphonebased collaborative and autonomous radio fingerprinting. IEEE Trans Syst Man Cy C 42, 1: 112-122.
15. M. Hardegger, et al. 2012. ActionSLAM: Using location-related actions as landmarks in pedestrian SLAM. In Proceedings of International Conference on Indoor Positioning and Indoor Navigation (IPIN 2012), 1-10.
16. M. Hardegger, G. Tröster, D. Roggen. Improved ActionSLAM for long-Term indoor tracking with wearable motion sensors. 2013. In Proceedings of the 17th Annual International Symposium on Wearable Computers, 1-8.
17. O. Woodman and R. Harle. 2008. Pedestrian localisation for indoor environments. In Proceedings of the 10th ACM international conference on Ubiquitous computing (Ubicomp 2008), 114-123.
18. T. W. Hnat, V. Srinivasan, J. Lu, T. I. Sookoor, R. Dawson, J. Stankovic, and K. Whitehouse. 2011. The hitchhikers guide to successful residential sensing deployments. In Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (Sensys 11), 232-245.
19. E. Foxlin. 2005. Pedestrian tracking with shoemounted inertial sensors. IEEE Comput Graph 25, 6: 38-46.
20. Fitbit, Inc. Fitbit Force. Retrieved July 14, 2015 from http://www.fitbit.com/
21. Samsung, Inc. Samsung Galaxy Gear. Retrieved July 14, 2015 from http://www.samsung.com/nl/consumer/mobilephone/wearable/galaxy-gear/SM-V7000ZKAPHN
22. Sony, Inc. Sony Smartwatch2. Retrieved July 14, 2015 from http://www.sonymobile.com/globalen/products/accessories/smartwatch-2-sw2/
23. LG, Inc. LG G-watch. Retrieved July 14, 2015 from http://www.lg.com/global/gwatch/index.html#main
24. P. Bahl and V. N. Padmanabhan. 2000. RADAR: An inbuilding RF-based user location and tracking system. In Proceedings INFOCOM 2000, 775-784.
25. S. Nattapong and V. K. Prashant. 2008. On clustering RSS fingerprints for improving scalability of performance prediction of indoor positioning systems. In Proceedings of the First ACM International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments, September 19-19, 2008, San Francisco, California, USA.
26. A. LaMarca, Y. Chawathe, S. Consolvo, J. Hightower, I. Smith, J. Scott, T. Sohn, J. Howard, J. Hughes, F. Potter, J. Tabert, P. Powledge, G. Borriello, and B. Schilit. 2005. Place Lab: Device positioning using radio beacons in the wild. In Proceedings of the third International Conference on Pervasive Computing, 116-133.
27. A. Anshul Rai, K. K. Chintalapudi, P. Venkat, and R. Sen. 2012. Zee: Zero-effort crowdsourcing for indoor localization. In Proceedings of the 18th Annual International Conference on Mobile Computing and Networking (MobiCom), 369-378.
28. Martin Azizyan, Ionut Constandache, and Romit Roy Choudhury. 2009. SurroundSense: Mobile phone localization via ambience fingerprinting. In Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, 261-272.
29. L. Bao and S. Intille. 2004. Activity recognition from user-Annotated acceleration data. In Proceedings of Pervasive Computing, 1-17.
30. J. Lester, T. Choudhury, and G. Borriello. 2006. A practical approach to recognizing physical activities. In Proceedings of Pervasive Computing, 1-16.
31. K. Yatani and K. N. Truong. 2012. BodyScope: A wearable acoustic sensor for activity recognition. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (Ubicomp 2012), 341-350.
32. S. Lee, B. Kim, H. Kim, R. Ha, and H. Cha. 2011. Inertial sensor-based indoor pedestrian localization with minimum IEEE 802.15.4a configuration. IEEE Trans Industrial Informatics 7, 3: 455-466.
33. M. Mladenov and M. Mock. 2009. A step counter service for Java-enabled devices using a built-in accelerometer. In Proceedings of the International Workshop on Context-Aware Middleware and Services (CAMS 2009), 1-5.
34. N. Ravi, N. Dandekar, P. Mysore, and M. L. Littman. 2005. Activity recognition from accelerometer data. AAAI 5: 1541-1546.
35. Z. Fang, et al. 2001. Comparison of different implementations of MFCC. J Comput Sci Technol 16, 6: 582-589.
36. H. Abdi. 2007. Discriminant correspondence analysis. In Encyclopedia of Measurement and Statistics. Sage, Thousand Oaks, CA, 270-275.
37. J. B. MacQueen. 1967. Some methods for classification and analysis of multivariate observations. In Proceedings of Berkeley Symposium on Mathematical Statistics and Probability, 1, 281-297.
38. D. Rogers and T. Tanimoto. 1960. A computer program for classifying plants. Science 21: 1115-1118.
39. A. Viterbi. 1967. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Trans Inf Theory 13, 2: 260-269.