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Volumn 6567 LNCS, Issue , 2011, Pages 65-80

Fast, accurate event classification on resource-lean embedded sensors

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION TECHNIQUE; EMBEDDED SENSORS; EVENT CLASSIFICATION; FAST NEAREST NEIGHBOR SEARCH; HARDWARE PLATFORM; HIGH PRECISION; HUMAN MOVEMENTS; KD-TREE DATA STRUCTURE; LEVEL SENSORS; SENSOR DATA; VEHICLE NAVIGATION; WIRELESS SENSING;

EID: 79952274723     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19186-2_5     Document Type: Conference Paper
Times cited : (3)

References (26)
  • 3
    • 35548935642 scopus 로고    scopus 로고
    • Accelerometer-based human abnormal movement detection in wireless sensor nets
    • ACM, New York
    • Burchfield, T.R., Venkatesan, S.: Accelerometer-based human abnormal movement detection in wireless sensor nets. In: HealthNet 2007, pp. 67-69. ACM, New York (2007)
    • (2007) HealthNet 2007 , pp. 67-69
    • Burchfield, T.R.1    Venkatesan, S.2
  • 5
    • 0015600423 scopus 로고
    • The viterbi algorithm
    • IEEE, Los Alamitos
    • Forney, G.: The viterbi algorithm. In: Proceedings of the IEEE, vol. 61, pp. 268- 278. IEEE, Los Alamitos (1973)
    • (1973) Proceedings of the IEEE , vol.61 , pp. 268-278
    • Forney, G.1
  • 7
    • 0031084264 scopus 로고    scopus 로고
    • Fast implementations of nearest neighbor classifiers
    • Grother, P.J., Candela, G.T., Blue, J.L.: Fast implementations of nearest neighbor classifiers. Pattern Recognition 30(3), 459-465 (1997), http://www.sciencedirect.com/science/article/B6V14-3SNTGXH-T/2/ 208700cc812e769ea72e11e348dd2dbd
    • (1997) Pattern Recognition , vol.30 , Issue.3 , pp. 459-465
    • Grother, P.J.1    Candela, G.T.2    Blue, J.L.3
  • 9
    • 84903874716 scopus 로고    scopus 로고
    • Real-time daily activity classification with wireless sensor networks using hidden markov model
    • IEEE, Los Alamitos
    • He, J., et al.: Real-time daily activity classification with wireless sensor networks using hidden markov model. In: EMBC 2007, pp. 3192-3195. IEEE, Los Alamitos (2007)
    • (2007) EMBC 2007 , pp. 3192-3195
    • He, J.1
  • 10
    • 0034506339 scopus 로고    scopus 로고
    • Context awareness by analysing accelerometer data
    • IEEE, Los Alamitos
    • Henk, C.R., Muller, H.: Context awareness by analysing accelerometer data. In: The 4th Int. Symp. on Wearable Computers, pp. 175-176. IEEE, Los Alamitos (2000)
    • (2000) The 4th Int. Symp. on Wearable Computers , pp. 175-176
    • Henk, C.R.1    Muller, H.2
  • 11
    • 34547420644 scopus 로고    scopus 로고
    • Wireless sensor networks for structural health monitoring
    • ACM, New York
    • Kim, S., et al.: Wireless sensor networks for structural health monitoring. In: Sen- Sys 2006, pp. 427-428. ACM, New York (2006)
    • (2006) Sen- Sys 2006 , pp. 427-428
    • Kim, S.1
  • 12
    • 35348857586 scopus 로고    scopus 로고
    • Health monitoring of civil infrastructures using wireless sensor networks
    • ACM, New York
    • Kim, S., et al.: Health monitoring of civil infrastructures using wireless sensor networks. In: IPSN 2007, pp. 254-263. ACM, New York (2007)
    • (2007) IPSN 2007 , pp. 254-263
    • Kim, S.1
  • 13
    • 69949190118 scopus 로고    scopus 로고
    • An efficient scheme of target classification and information fusion in wireless sensor networks
    • Kim, Y., et al.: An efficient scheme of target classification and information fusion in wireless sensor networks. Personal Ubiquitous Comput. 13(7), 499-508 (2009)
    • (2009) Personal Ubiquitous Comput. , vol.13 , Issue.7 , pp. 499-508
    • Kim, Y.1
  • 14
    • 84895207016 scopus 로고    scopus 로고
    • Tinyos: An operating system for sensor networks
    • Springer, Heidelberg http://dx.doi.org/10.1007/3-540-27139-2-7
    • Levis, P., et al.: Tinyos: An operating system for sensor networks. In: Ambient Intelligence, pp. 115-148. Springer, Heidelberg (2005), http://dx.doi.org/10.1007/3-540-27139-2-7
    • (2005) Ambient Intelligence , pp. 115-148
    • Levis, P.1
  • 16
    • 77952247439 scopus 로고    scopus 로고
    • Mercury: A wearable sensor network platform for high-fidelity motion analysis
    • ACM, New York
    • Lorincz, K., et al.: Mercury: a wearable sensor network platform for high-fidelity motion analysis. In: SenSys 2009, pp. 183-196. ACM, New York (2009)
    • (2009) SenSys 2009 , pp. 183-196
    • Lorincz, K.1
  • 17
    • 70450267511 scopus 로고    scopus 로고
    • Soundsense: Scalable sound sensing for people-centric applications on mobile phones
    • ACM, New York
    • Lu, H., et al.: Soundsense: scalable sound sensing for people-centric applications on mobile phones. In: MobiSys 2009, pp. 165-178. ACM, New York (2009)
    • (2009) MobiSys 2009 , pp. 165-178
    • Lu, H.1
  • 18
    • 84866497422 scopus 로고    scopus 로고
    • Sensing meets mobile social networks: The design, imp. and eval. of the CenceMe application
    • ACM, New York
    • Miluzzo, E., et al.: Sensing meets mobile social networks: the design, imp. and eval. of the CenceMe application. In: SenSys 2008, pp. 337-350. ACM, New York (2008)
    • (2008) SenSys 2008 , pp. 337-350
    • Miluzzo, E.1
  • 19
    • 84866503356 scopus 로고    scopus 로고
    • Nericell: Rich monitoring of road and traffic conditions using mobile smartphones
    • ACM Press, New York
    • Mohan, P., et al.: Nericell: rich monitoring of road and traffic conditions using mobile smartphones. In: SenSys 2008, pp. 323-336. ACM Press, New York (2008)
    • (2008) SenSys 2008 , pp. 323-336
    • Mohan, P.1
  • 21
    • 0029209272 scopus 로고
    • Robust text-independent speaker identification using gaussian mixture speaker models
    • Reynolds, D.A., Rose, R.C.: Robust text-independent speaker identification using gaussian mixture speaker models. IEEE Transactions on Speech and Audio Processing 3(1), 72-83 (1995)
    • (1995) IEEE Transactions on Speech and Audio Processing , vol.3 , Issue.1 , pp. 72-83
    • Reynolds, D.A.1    Rose, R.C.2
  • 23
    • 70350388476 scopus 로고    scopus 로고
    • Predicting link quality using supervised learning in wireless sensor networks
    • Wang, Y., et al.: Predicting link quality using supervised learning in wireless sensor networks. SIGMOBILE Mob. Comput. Commun. Rev. 11(3), 71-83 (2007)
    • (2007) SIGMOBILE Mob. Comput. Commun. Rev. , vol.11 , Issue.3 , pp. 71-83
    • Wang, Y.1
  • 24
    • 84866514281 scopus 로고    scopus 로고
    • Lance: Optimizing high-resolution signal collection in wireless sensor networks
    • ACM, New York
    • Werner-Allen, G., et al.: Lance: optimizing high-resolution signal collection in wireless sensor networks. In: SenSys 2008, pp. 169-182. ACM, New York (2008)
    • (2008) SenSys 2008 , pp. 169-182
    • Werner-Allen, G.1
  • 25
    • 0003957032 scopus 로고    scopus 로고
    • 2nd edn. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, San Francisco
    • Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, San Francisco (2005), http://www.amazon.com/exec/obidos/ redirect?tag=citeulike07-20&path=ASIN/0120884070
    • (2005) Data Mining: Practical Machine Learning Tools and Techniques
    • Witten, I.H.1    Frank, E.2
  • 26
    • 23944525543 scopus 로고    scopus 로고
    • A wireless sensor network for structural monitoring
    • ACM, New York
    • Xu, N., et al.: A wireless sensor network for structural monitoring. In: SenSys 2004, pp. 13-24. ACM, New York (2004)
    • (2004) SenSys 2004 , pp. 13-24
    • Xu, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.