Using height sensors for biometric identification in multi-resident homes

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

Volumn 6030 LNCS, Issue , 2010, Pages 337-354

  Srinivasan, Vijay ^a   Stankovic, John ^a   Whitehouse, Kamin ^a  

^a University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTHROPOMETRIC DATA; BIOMETRIC IDENTIFICATIONS; CONTROLLED LABORATORIES; DISTANCE SENSORS; HEIGHT MEASUREMENT; HOME ENVIRONMENT; IDENTIFICATION ACCURACY;

BIOMETRICS; DOORS; SENSORS; SERVICE ORIENTED ARCHITECTURE (SOA);

ANTHROPOMETRY;

EID: 77953496581     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12654-3_20     Document Type: Conference Paper

References (21)

1. Health and retirement study (2006), http://hrsonline.isr.umich.edu
2. Quietcare systems - living independently, http://www.quietcaresystems.com
3. Vernier go motion ultrasonic sensor, http://www.vernier.com/go/gomotion. html
4. Wellaware systems for elderly monitoring, http://www.wellawaresystems.com
5. Abdelkader, B., et al.: Person identification using automatic height and stride estimation. In: International Conference on Pattern Recognition (2002)
6. Addlesee, M., Jones, A., Livesey, F., Samaria, F.: The ORL active floor. IEEE Personal Communications (1997)
7. Ester, M., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: International Conference on Knowledge Discovery and Data Mining (1996)
8. Gao, G., Whitehouse, K.: The Self-Programming Thermostat: Optimizing Setback Schedules based on Home Occupancy Patterns. In: First ACM Workshop on Embedded Sensing Systems For Energy-Efficiency In Buildings (2009)
9. Jenkins, J., Ellis, C.: Using ground reaction forces from gait analysis: body mass as a weak biometric. In: LaMarca, A., Langheinrich, M., Truong, K.N. (eds.) Pervasive 2007. LNCS, vol. 4480, pp. 251-267. Springer, Heidelberg (2007)
10. Jenkins, J., et al.: Weakly identifying system for doorway monitoring. Duke Fontiers Poster Session (May 2006)
11. Klasnja, P., Consolvo, S., Choudhury, T., Beckwith, R., Hightower, J.: Exploring privacy concerns about personal sensing. In: Proceedings of the Seventh International Conference on Pervasive Computing, Nara, Japan (May 2009)
12. Köhler, M., Patel, S., Summet, J., Stuntebeck, E., Abowd, G.: TrackSense: Infrastructure free precise indoor positioning using projected patterns. In: LaMarca, A., Langheinrich, M., Truong, K.N. (eds.) PERVASIVE 2007. LNCS, vol. 4480, pp. 334-350. Springer, Heidelberg (2007)
13. Lorincz, K., Welsh, M.: MoteTrack: a robust, decentralized approach to RF-based location tracking. Personal and Ubiquitous Computing, 489-503 (2007)
14. Nishida, Y., Murakami, S., Hori, T., Mizoguchi, H.: Minimally privacy-violative human location sensor by ultrasonic radar embedded on ceiling. In: Proceedings of IEEE Sensors (2004)
15. Patel, S., Truong, K., Abowd, G.: Powerline positioning: A practical sub-room-level indoor location system for domestic use. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 441-458. Springer, Heidelberg (2006)
16. Shakhnarovich, G., et al.: Integrated face and gait recognition from multiple views. In: Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, Los Alamitos (2001)
17. Shnayder, V., et al.: Sensor networks for medical care. In: Sensys. ACM Press, New York (2005)
18. Smith, A.: Exploring the acceptability of biometrics and fingerprint technologies. International Journal of Services and Standards (2005)
19. Want, R., Hopper, A., Falcao, V., Gibbons, J.: The active badge location system. ACM Transactions on Information Systems, TOIS (1992)
20. Wilson, D., Atkeson, C.: Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors. In: Gellersen, H.-W., Want, R., Schmidt, A. (eds.) PERVASIVE 2005. LNCS, vol. 3468, pp. 62-79. Springer, Heidelberg (2005)
21. Woodman, O., Harle, R.: Pedestrian localisation for indoor environments. In: Proceedings of the 10th international conference on Ubiquitous computing, pp. 114-123. ACM, New York (2008)