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Volumn , Issue , 2012, Pages

By train or by car? Detecting the user's motion type through smartphone sensors data

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION ERRORS; CONTEXT-AWARE; CONTEXT-AWARE MOBILE APPLICATION; FEATURES EXTRACTION; MULTIPLE SENSORS; RANDOM DATA; RECOGNITION ALGORITHM; SAMPLING PARAMETERS; SAMPLING RATES; SENSORS DATA; SPECIFIC SENSORS; SUPERVISED ALGORITHM; SYSTEM LEVELS; USER MOTION;

EID: 84873448866     PISSN: 21569711     EISSN: 2156972X     Source Type: Conference Proceeding    
DOI: 10.1109/WD.2012.6402818     Document Type: Conference Paper
Times cited : (74)

References (14)
  • 1
    • 84873465487 scopus 로고    scopus 로고
    • Context awareness by analysing accelerometer data
    • Atlanta
    • Randell, c., & Muller, H. Context awareness by analysing accelerometer data. Proc. of IEEE ISWC, Atlanta, 2000.
    • (2000) Proc. of IEEE ISWC
    • Randell, C.1    Muller, H.2
  • 2
    • 77954420947 scopus 로고    scopus 로고
    • Human activity recognition via an accelerometer-enabled-smartphone using kernel discriminant analysis
    • Busan
    • Khan, A. M., Lee, Y K., Lee, S. Y, Kim, T. S. Human Activity Recognition via an Accelerometer-Enabled-Smartphone Using Kernel Discriminant Analysis. Proc. of FutureTech, 1-6, Busan, 20 10.
    • (2010) Proc. of FutureTech , pp. 1-6
    • Khan, A.M.1    Lee, Y.K.2    Lee, S.Y.3    Kim, T.S.4
  • 3
    • 57849153571 scopus 로고    scopus 로고
    • Activity recognition from acceleration data using AR model representation and SYM
    • San Diego
    • He, Z.-yu, & Jin, L.-wen. Activity recognition from acceleration data using AR model representation and SYM. Proc. of ICMLA, pp. 2245-2250, San Diego, 2008.
    • (2008) Proc. of ICMLA , pp. 2245-2250
    • He, Z.-Y.1    Jin, L.-W.2
  • 4
    • 74849102634 scopus 로고    scopus 로고
    • Activity recognition from acceleration data based on discrete consine transform and SYM
    • San Antonio
    • He, Z., Jin, L. Activity recognition from acceleration data based on discrete consine transform and SYM. Proc. of IEEE SMC, pp. 5041-5044, San Antonio, 2009.
    • (2009) Proc. of IEEE SMC , pp. 5041-5044
    • He, Z.1    Jin, L.2
  • 5
    • 29344474528 scopus 로고    scopus 로고
    • Activity recognition from accelerometer data
    • 2005
    • Ravi, N., Dandekar, N., Mysore, P., Littman, M. L. (2005). Activity Recognition from Accelerometer Data. Neural Networks: 20(3), 1541-1546, 2005.
    • (2005) Neural Networks , vol.20 , Issue.3 , pp. 1541-1546
    • Ravi, N.1    Dandekar, N.2    Mysore, P.3    Littman, M.L.4
  • 6
    • 84860675705 scopus 로고    scopus 로고
    • Movement pattern recognition through smartphone's accelerometer
    • Las Vegas
    • Bujari, A., Licar, B., Palazzi, C. E., Movement Pattern Recognition through Smartphone's Accelerometer. Proc of IEEE DENVECT, Las Vegas, 20 12.
    • (2012) Proc of IEEE DENVECT
    • Bujari, A.1    Licar, B.2    Palazzi, C.E.3
  • 7
    • 84873474690 scopus 로고    scopus 로고
    • SmartSpaces Project
    • SmartSpaces Project. http://www.smartspaces.eulhome/
  • 8
    • 77956877124 scopus 로고    scopus 로고
    • The internet of things: A survey
    • Atzori A., Iera, A., Morabito G., The Internet of Things: A survey. Computer Networks: 54(15), pp. 2787-2805, 2010.
    • (2010) Computer Networks , vol.54 , Issue.15 , pp. 2787-2805
    • Atzori, A.1    Iera., A.2    Morabito, G.3
  • 9
    • 77950247206 scopus 로고    scopus 로고
    • Machine learning methods for classifying human physical activities from on-body sensors
    • Mannini, A., Sabatini, A. M., Machine Learning Methods for Classifying Human Physical Activities from On-body Sensors. Sensors: 10(1), pp. 1 145-1 175, 20 10
    • (2010) Sensors , vol.10 , Issue.1 , pp. 1145-1175
    • Mannini, A.1    Sabatini, A.M.2
  • 10
    • 4644220755 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • Bao, L., Intille, S. S. Activity Recognition from User-Annotated Acceleration Data. Pervasive Computing: 300 I ( 1), 1-17, 2004
    • (2004) Pervasive Computing , vol.300 I , Issue.1 , pp. 1-17
    • Bao, L.1    Intille, S.S.2
  • 11
    • 79959952700 scopus 로고    scopus 로고
    • Human activity recognition from accelerometer data using a wearable device
    • Gran Can aria
    • Casale, P., Pujol, 0., Radeva, P., Human Activity Recognition from Accelerometer Data Using a Wearable Device, Proc. of IbPRIA, pp. 289-296, Gran Can aria, 20 I 1
    • (2011) Proc. of IbPRIA , pp. 289-296
    • Casale, P.1    Radeva, P.P.2
  • 12
    • 0035478854 scopus 로고    scopus 로고
    • Random forest
    • Breiman, L. Random forest. Machine Learning, 45(1), pp. 5-32, 2001
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 13
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, c., Yapnik, Y. Support-vector networks. Machine Learning: 20(3), pp. 273-297, 1995
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Yapnik, Y.2
  • 14
    • 0000468432 scopus 로고
    • Estimating continuous distributions in Bayesian classifiers
    • Quebec
    • John, G. H., Langley, P. Estimating continuous distributions in Bayesian classifiers. Proc. of UAI. Pp. 338-345, Quebec, 1995.
    • (1995) Proc. of UAI , pp. 338-345
    • John, G.H.1    Langley, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.