Activity recognition from on-body sensors: Accuracy-power trade-off by dynamic sensor selection

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

Volumn 4913 LNCS, Issue , 2008, Pages 17-33

  Zappi, Piero ^a   Lombriser, Clemens ^b   Stiefmeier, Thomas ^b   Farella, Elisabetta ^a   Roggen, Daniel ^b   Benini, Luca ^a   Tröster, Gerhard ^b  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; HYBRID SENSORS; LEARNING SYSTEMS; SENSORS; WEARABLE COMPUTERS; WIRELESS SENSOR NETWORKS;

ACTIVITY RECOGNITION; ASSEMBLY-LINE WORKERS; CAR PRODUCTION; CLASSIFICATION ACCURACIES; CONTEXT-AWARE APPLICATIONS; DYNAMIC SENSORS; EUROPEAN; HETEROGENEOUS SENSOR NETWORKS; META CLASSIFIERS; ON-BODY; POWER CONSUMPTION; RUN-TIME; SENSOR SELECTION; WEARABLE COMPUTING;

SENSOR NETWORKS;

EID: 49949109801     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77690-1_2     Document Type: Conference Paper

References (32)

1. Lukowicz, P., Junker, H., Staeger, M., von Bueren, T., Troester, G.: WearNET: A distributed multi-sensor system for context aware wearables. In: Borriello, G., Holmquist, L.E. (eds.) UbiComp 2002. LNCS, vol. 2498, pp. 361-370. Springer, Heidelberg (2002)
2. Kallio, S., Kela, J., Korpipää, P., Mäntyjärvi, J.: User independent gesture interaction for small handheld devices. International Journal of Pattern Recognition and Artificial Intelligence 20(4), 505-524 (2006)
3. Hernandez-Rebollar, J.L.: Gesture-driven american sign language phraselator. In: ICMI 2005. Proceedings of the 7th international conference on Multimodal interfaces, pp. 288-292. ACM Press, New York (2005)
4. Benini, L., Farella, E., Guiducci, C.: Wireless sensor networks: Enabling technology for ambient intelligence. Microelectron. J. 37(12), 1639-1649 (2006)
5. Watteyne, T., Augé-Blum, I., Ubéda, S.: Dual-mode real-time mac protocol for wireless sensor networks: a validation/simulation approach. In: Proceedings of the first international conference on Integrated internet ad hoc and sensor networks (2006)
6. Römer, K., Mattern, F.: The design space of wireless sensor networks. IEEE Wireless Communications 11(6), 54-61 (2004)
7. Van Laerhoven, K., Gellersen, H. W.: Spine versus porcupine: a study in distributed wearable activity recognition. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 142-149. Springer, Heidelberg (2004)
8. Harms, H., Amft, O., Tröster, D.R.G.: Smash: A distributed sensing and processing garment for the classification of upper body postures. In: Third interational conference on body area networks (submitted, 2008)
9. Roggen, D., Bharatula, N.B., Stager, M., Lukowicz, P., Tröster, G.: From sensors to miniature networked sensorbuttons. In: INSS 2006. Proc. of the 3rd Int. Conf. on Networked Sensing Systems, pp. 119-122 (2006)
10. Paradiso, J.A., Starner, T.: Energy scavenging for mobile and wireless electronics. IEEE Pervasive Computing 4(1), 18-27 (2005)
11. van Dam, T., Langendoen, K.: An adaptive energy-efficient mac protocol for wireless sensor networks. In: SenSys 2003: Proceedings of the 1st international conference on Embedded networked sensor systems, pp. 171-180. ACM Press, New York (2003)
12. Zigbee Alliance: Zigbee specification (2006), http://www.zigbee.org
13. Hill, J., Culler, D.: Mica: A Wireless Platform for Deeply Embedded Networks. IEEE Micro 22(6), 12-24 (2002)
14. Dai, L., Basu, P.: Energy and delivery capacity of wireless sensor networks with random duty-cycles. In: IEEE International Conference on Communications, pp. 3503-3510 (to appear)
15. Moser, C., Thiele, L., Benini, L., Brunelli, D.: Real-time scheduling with regenerative energy. In: ECRTS 2006. Proceedings of the 18th Euromicro Conference on Real-Time Systems, pp. 261-270. IEEE Computer Society Press, Washington (2006)
16. Vigorito, C.M., Ganesan, D., Barto, A.G.: Adaptive control of duty cycling in energy-harvesting wireless sensor networks. In: SECON 2007. 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, June 18-21, 2007, pp. 21-30 (2007)
17. Stiefmeier, T., Ogris, G., Junker, H., Lukowicz, P., Tröster, G.: Combining motion sensors and ultrasonic hands tracking for continuous activity recognition in a maintenance scenario. In: 10th IEEE International Symposium on Wearable Computers (2006)
18. Rabiner, L.R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE 77(2), 257-285 (1989)
19. Maurtua, I., Kirisci, P.T., Stiefmeier, T., Sbodio, M.L., Witt, H.: A wearable computing prototype for supporting training activities in automative production. In: IFAWC, 4th International Forum on Applied Wearable Computing (2007)
20. Zappi, P., Stiefmeier, T., Farella, E., Roggen, D., Benini, L., Tröster, G.: Activity recognition from on-body sensors by classifier fusion: Sensor scalability and robustness. In: 3rd Int. Conf. on Intelligent Sensors. Sensor Networks, and Information Processing (2007)
21. Ming Hsiao, K., West, G., Vedatesh, S.M.K.: Online context recognition in multisensor system using dynamic time warping. In: Proc. of the 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 283-288 (2005)
22. Mitra, S., Acharya, T.: Gesture recognition: A survey. IEEE Transactions on Systems, Man and Cybernetics - Part C 37(3), 311-324 (2007)
23. Ganti, R.K., Jayachandran, P., Abdelzaher, T.F., Stankovic, J.A.: Satire: a software architecture for smart attire. In: MobiSys, pp. 110-123 (2006)
24. Rish, I., Hellerstein, J., Thathachar, J.: An analysis of data characteristics that affect naive bayes performance. In: ICML-01 (2001)
25. Stiefmeier, T., Roggen, D., Tröster, G.: Fusion of string-matched templates for continuous activity recognition. In: 11th IEEE International Symposium on Wearable Computers, pp. 41-44 (October 2007)
26. Lombriser, C., Stäger, M., Roggen, D., Tröster, G.: Titan: A tiny task network for dynamically reconfigurable heterogeneous sensor networks. In: KiVS. Fachtagung Kommunikation in Verteilten Systemen, pp. 127-138 (2007)
27. Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D., Pister, K.: System architecture directions for network sensors. In: Architectural Support for Programming Languages and Operating Systems (November 2000)
28. Chen, H., Wu, H., Tzeng, N.F.: Grid-based approach for working node selection in wireless sensor networks. In: IEEE International Conference on Communications, June 20-24, 2004, vol. 6, pp. 3673-3678 (2004)
29. Yu, J.Y., Chong, P.H.J.: A survey of clustering schemes for mobile ad hoc networks. IEEE Communications Surveys 7(1), 32-48 (2005)
30. Pham, T., Kim, E.J., Moh, M.: On data aggregation quality and energy efficiency of wireless sensor network protocols - extended summary. In: Proceedings of the First International Conference on Broadband Networks, pp. 730-732 (2004)
31. Guo, Y., McNair, J.: An adaptive sleep protocol for environment monitoring using wireless sensor networks. In: Communications and Computer Networks, pp. 1-6 (2005)
32. Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157-1182 (2003)