메뉴 건너뛰기




Volumn 2, Issue 1, 2011, Pages 1-14

Optimal model selection for posture recognition in home-based healthcare

Author keywords

Accelerometer; Multi class SVM; Optimal model; Posture recognition

Indexed keywords

ACCELEROMETER DATA; ACTIVITY MONITORING SYSTEM; CLASSIFICATION PERFORMANCE; COMPUTATIONAL TIME; CONVENTIONAL APPROACH; GRID-SEARCH ALGORITHM; MODEL SELECTION; MODEL TRAINING; MULTICLASS SUPPORT VECTOR MACHINES; MULTICLASS SVM; NEW APPROACHES; OPTIMAL MODEL; PARAMETERS SETTING; POSTURE RECOGNITION; SMALL TRAINING; SMART PHONES; SUPERVISED CLASSIFICATION; TESTING ACCURACY; TRAINING SETS;

EID: 79952991899     PISSN: 18688071     EISSN: 1868808X     Source Type: Journal    
DOI: 10.1007/s13042-010-0009-5     Document Type: Article
Times cited : (40)

References (33)
  • 2
    • 34547632495 scopus 로고    scopus 로고
    • Fast training of support vector machines by extracting boundary data
    • Abe S, Inoue T (2001) Fast training of support vector machines by extracting boundary data. Artif Neural Netw ICANN 2130: 308-313.
    • (2001) Artif Neural Netw ICANN , vol.2130 , pp. 308-313
    • Abe, S.1    Inoue, T.2
  • 3
    • 33748420535 scopus 로고    scopus 로고
    • Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models
    • Allen FR, Ambikairajah E, Lovell NH, Celler BG (2006) Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models. Physiol Meas 27(10): 935-952.
    • (2006) Physiol Meas , vol.27 , Issue.10 , pp. 935-952
    • Allen, F.R.1    Ambikairajah, E.2    Lovell, N.H.3    Celler, B.G.4
  • 4
    • 35048842427 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • Bao L, Intille SS (2004) Activity recognition from user-annotated acceleration data. Pervasive Comput 3001: 1-17.
    • (2004) Pervasive Comput , vol.3001 , pp. 1-17
    • Bao, L.1    Intille, S.S.2
  • 5
    • 33748454623 scopus 로고    scopus 로고
    • Applying 3D human model in a posture recognition system
    • Boulay B, Brémond F, Thonnat M (2006) Applying 3D human model in a posture recognition system. Pattern Recogn Lett 27(15): 1788-1796.
    • (2006) Pattern Recogn Lett , vol.27 , Issue.15 , pp. 1788-1796
    • Boulay, B.1    Brémond, F.2    Thonnat, M.3
  • 6
    • 2142765521 scopus 로고    scopus 로고
    • Multiple neural spike train data analysis: state-of-the-art and future challenges
    • Brown EN, Kass RE, Mitra PP (2004) Multiple neural spike train data analysis: state-of-the-art and future challenges. Nat Neurosci 7: 456-461.
    • (2004) Nat Neurosci , vol.7 , pp. 456-461
    • Brown, E.N.1    Kass, R.E.2    Mitra, P.P.3
  • 9
    • 79952985382 scopus 로고    scopus 로고
    • LIBSVM: a library for support vector machines, 2001) Software available at
    • Chang CC, Lin CJ (2001) LIBSVM: a library for support vector machines, 2001) Software available at http://www. csie. ntu. edu. tw/cjlin/libsvm.
    • (2001)
    • Chang, C.C.1    Lin, C.J.2
  • 11
    • 0031269184 scopus 로고    scopus 로고
    • On the the optimality of the simple Bayesian classifier under zero-one loss
    • Domingos P, Pazzani M (1997) On the the optimality of the simple Bayesian classifier under zero-one loss. Mach Learn 29(2-3): 103-130.
    • (1997) Mach Learn , vol.29 , Issue.2-3 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 13
    • 0032680130 scopus 로고    scopus 로고
    • Detection of posture and motion by accelerometry: a validation study in ambulatory monitoring
    • Foerster F, Smeja M, Fahrenberg J (1999) Detection of posture and motion by accelerometry: a validation study in ambulatory monitoring. Comput Hum Behav 15(5): 571-583.
    • (1999) Comput Hum Behav , vol.15 , Issue.5 , pp. 571-583
    • Foerster, F.1    Smeja, M.2    Fahrenberg, J.3
  • 14
    • 55849123955 scopus 로고    scopus 로고
    • Proc 21st Florida Artificial Intelligence Research Society Conference, Miami, Florida. AAAI Press
    • Hall M, Frank E (2008) Combining naive Bayes and decision tables, In Proc 21st Florida Artificial Intelligence Research Society Conference, Miami, Florida. AAAI Press.
    • (2008) Combining naive Bayes and decision tables
    • Hall, M.1    Frank, E.2
  • 16
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • Hsu CW, Lin CJ (2002) A comparison of methods for multiclass support vector machines. IEEE Trans Neural Netw 13(2): 415-425.
    • (2002) IEEE Trans Neural Netw , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 17
    • 36248963489 scopus 로고    scopus 로고
    • Human body posture classification by a neural fuzzy network and home care system application
    • Juang CF, Chang CM (2007) Human body posture classification by a neural fuzzy network and home care system application. IEEE Trans Syst Man Cybern Part A 37(6): 984-994.
    • (2007) IEEE Trans Syst Man Cybern Part A , vol.37 , Issue.6 , pp. 984-994
    • Juang, C.F.1    Chang, C.M.2
  • 18
    • 0017606427 scopus 로고
    • Correcting working postures in industry: a practical method for analysis
    • Karhu O, Kansi P, Kuorinka I (1977) Correcting working postures in industry: a practical method for analysis. Appl Ergon 8(4): 199-201.
    • (1977) Appl Ergon , vol.8 , Issue.4 , pp. 199-201
    • Karhu, O.1    Kansi, P.2    Kuorinka, I.3
  • 20
    • 15944402058 scopus 로고    scopus 로고
    • Reducing the number of training samples for fast support vector machine classification
    • Koggalage R, Halgamuge S (2004) Reducing the number of training samples for fast support vector machine classification. Neural Inf Process Lett Rev 2(3): 57-65.
    • (2004) Neural Inf Process Lett Rev , vol.2 , Issue.3 , pp. 57-65
    • Koggalage, R.1    Halgamuge, S.2
  • 21
    • 1542270817 scopus 로고    scopus 로고
    • A study on the activity classification using a triaxial accelerometer
    • Proceedings of the 25th Annual International Conference of the IEEE
    • Lee S, Park H, Hong S, Lee K, Kim Y (2003) A study on the activity classification using a triaxial accelerometer. Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE.
    • (2003) Engineering in Medicine and Biology Society, 2003
    • Lee, S.1    Park, H.2    Hong, S.3    Lee, K.4    Kim, Y.5
  • 23
    • 6344237275 scopus 로고    scopus 로고
    • Classification of basic daily movements using a triaxial accelerometer
    • Mathie MJ, Celler BG, Lovell NH, Coster ACF (2004) Classification of basic daily movements using a triaxial accelerometer. Med Biol Eng Comput 42(5): 679-687.
    • (2004) Med Biol Eng Comput , vol.42 , Issue.5 , pp. 679-687
    • Mathie, M.J.1    Celler, B.G.2    Lovell, N.H.3    Coster, A.C.F.4
  • 24
    • 47049102074 scopus 로고    scopus 로고
    • Sensor for measuring strain in textile
    • Mattmann C, Clemens F, Tröster G (2008) Sensor for measuring strain in textile. Sensors 8(6): 3719.
    • (2008) Sensors , vol.8 , Issue.6 , pp. 3719
    • Mattmann, C.1    Clemens, F.2    Tröster, G.3
  • 26
    • 11844288010 scopus 로고    scopus 로고
    • A machine learning approach for human posture detection in domotics applications
    • Proceedings. 12th International Conference on
    • Panini L, Cucchiara R (2003) A machine learning approach for human posture detection in domotics applications. Image Analysis and Processing, 2003. Proceedings. 12th International Conference on, pp 103.
    • (2003) Image Analysis and Processing, 2003 , pp. 103
    • Panini, L.1    Cucchiara, R.2
  • 28
    • 0034867441 scopus 로고    scopus 로고
    • Advantages of using fuzzy class memberships in self-organizing map and support vector machines
    • Proceedings. IJCNN'01. International Joint Conference on IEEE
    • Sohn S, Dagli CH (2002) Advantages of using fuzzy class memberships in self-organizing map and support vector machines. Neural Networks, 2001. Proceedings. IJCNN'01. International Joint Conference on IEEE, pp 1886.
    • (2002) Neural Networks, 2001 , pp. 1886
    • Sohn, S.1    Dagli, C.H.2
  • 29
  • 30
    • 0010864753 scopus 로고
    • Pattern recognition using generalized portrait method
    • Vapnik V, Lerner A (1963) Pattern recognition using generalized portrait method. Autom Remote Control 24(6): 774-780.
    • (1963) Autom Remote Control , vol.24 , Issue.6 , pp. 774-780
    • Vapnik, V.1    Lerner, A.2
  • 32
    • 79851475906 scopus 로고    scopus 로고
    • Computational verb decision trees
    • Yang T (2006) Computational verb decision trees. Int J Comput Cogn 4(4): 34-46.
    • (2006) Int J Comput Cogn , vol.4 , Issue.4 , pp. 34-46
    • Yang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.