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Volumn 5, Issue 4, 2011, Pages 320-329

Sensor positioning for activity recognition using wearable accelerometers

Author keywords

Body sensor networks (BSNs); feature selection; sensor positioning; wearable sensors

Indexed keywords

ACTIVITIES OF DAILY LIVING; ACTIVITY RECOGNITION; BEHAVIORAL PROFILES; CHRONIC DISEASE; GENERAL POPULATION; RESEARCH CHALLENGES; SENSOR LOCATION; SENSOR POSITIONING; SYSTEMATIC FRAMEWORK; TIME FREQUENCY FEATURES; WEARABLE DEVICES; WEARABLE SENSORS;

EID: 79960984111     PISSN: 19324545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBCAS.2011.2160540     Document Type: Conference Paper
Times cited : (290)

References (41)
  • 2
    • 4444233874 scopus 로고    scopus 로고
    • The fitness, obesity, and health equation: Is physical activity the common denominator?
    • DOI 10.1001/jama.292.10.1232
    • S. Blair and T. Church, "The fitness, obesity, and health equation: Is physical activity the common denominator?," Jama, vol. 292, no. 10, pp. 1232-1234, 2004. (Pubitemid 39167415)
    • (2004) Journal of the American Medical Association , vol.292 , Issue.10 , pp. 1232-1234
    • Blair, S.N.1    Church, T.S.2
  • 3
    • 34548075899 scopus 로고    scopus 로고
    • A pervasive body sensor network for measuring postoperative recovery at home
    • DOI 10.1177/1553350607302326
    • O. Aziz, L. Atallah, B. Lo, M. ElHelw, L. Wang, G. Yang, and A. Darzi, "A pervasive body sensor network for measuring postoperative recovery at home," Surg. Innov., vol. 14, no. 2, pp. 83-90, 2007. (Pubitemid 47399183)
    • (2007) Surgical Innovation , vol.14 , Issue.2 , pp. 83-90
    • Aziz, O.1    Atallah, L.2    Lo, B.3    ElHelw, M.4    Wang, L.5    Yang, G.Z.6    Darzi, A.7
  • 4
  • 5
    • 0035886402 scopus 로고    scopus 로고
    • A test-retest reliability study of the Barthel Index, the Rivermead Mobility Index, the Nottingham Extended Activities of Daily Living Scale and the Frenchay Activities Index in stroke patients
    • DOI 10.1080/09638280110045382
    • J. Green, A. Forster, and J. Young, "A test-retest reliability study of the barthel index, the rivermead mobility index, the nottingham extended activities of daily living scale and the frenchay activities index in stroke patients," Disability Rehab., vol. 23, pp. 670-676, Oct. 2001. (Pubitemid 33034979)
    • (2001) Disability and Rehabilitation , vol.23 , Issue.15 , pp. 670-676
    • Green, J.1    Young, J.2
  • 6
    • 67650083341 scopus 로고    scopus 로고
    • A comparison of questionnaire, accelerometer, and pedometer: Measures in older people
    • T. Harris, "A comparison of questionnaire, accelerometer, and pedometer: Measures in older people," Med. Sci. Sports Exer., vol. 41, no. 7, pp. 1392-1402, 2009.
    • (2009) Med. Sci. Sports Exer. , vol.41 , Issue.7 , pp. 1392-1402
    • Harris, T.1
  • 9
    • 33646370992 scopus 로고    scopus 로고
    • A novel method for using accelerometer data to predict energy expenditure
    • DOI 10.1152/japplphysiol.00818.2005
    • S. Crouter, K. Clowers, and D. J. Bassett, "A novel method for using accelerometer data to predict energy expenditure," J. Appl. Physiol., vol. 100, pp. 1324-1331, 2006. (Pubitemid 43671491)
    • (2006) Journal of Applied Physiology , vol.100 , Issue.4 , pp. 1324-1331
    • Crouter, S.E.1    Clowers, K.G.2    Bassett Jr., D.R.3
  • 10
    • 0036065724 scopus 로고    scopus 로고
    • Standing balance evaluation using a triaxial accelerometer
    • DOI 10.1016/S0966-6362(01)00199-0, PII S0966636201001990
    • R. E. Mayagoitia, J. C. Lotters, P. H. Veltink, and H. Hermens, "Standing balance evaluation using a triaxial accelerometer," Gait Posture, vol. 16, no. 1, pp. 55-59, 2002. (Pubitemid 34786358)
    • (2002) Gait and Posture , vol.16 , Issue.1 , pp. 55-59
    • Mayagoitia, R.E.1    Lotters, J.C.2    Veltink, P.H.3    Hermens, H.4
  • 11
    • 34249934082 scopus 로고    scopus 로고
    • Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm
    • DOI 10.1016/j.gaitpost.2006.09.012, PII S0966636206001895
    • A. Bourke, J. O'Brien, and G. Lyons, "Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm," Gait Posture, vol. 26, no. 2, pp. 194-199, 2007. (Pubitemid 46880343)
    • (2007) Gait and Posture , vol.26 , Issue.2 , pp. 194-199
    • Bourke, A.K.1    O'Brien, J.V.2    Lyons, G.M.3
  • 12
    • 70349780430 scopus 로고    scopus 로고
    • The use of pervasive sensing for behaviour profiling -A survey
    • L. Atallah and G.-Z. Yang, "The use of pervasive sensing for behaviour profiling-a survey," Perv. Mobile Comput., vol. 5, no. 5, pp. 447-464, 2009.
    • (2009) Perv. Mobile Comput. , vol.5 , Issue.5 , pp. 447-464
    • Atallah, L.1    Yang, G.-Z.2
  • 13
    • 53949117607 scopus 로고    scopus 로고
    • Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers
    • J.-Y. Yang, J.-S. Wang, and Y.-P. Chen, "Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers," Pattern Recogn. Lett., vol. 29, no. 16, pp. 2213-2220, 2008.
    • (2008) Pattern Recogn. Lett. , vol.29 , Issue.16 , pp. 2213-2220
    • Yang, J.-Y.1    Wang, J.-S.2    Chen, Y.-P.3
  • 14
    • 77954591953 scopus 로고    scopus 로고
    • A real-time and self-calibrating algorithm based on triaxial accelerometer signals for the detection of human posture and activity
    • Jul.
    • D. Curone, G. Bertolotti, A. Cristiani, E. Secco, and G. Magenes, "A real-time and self-calibrating algorithm based on triaxial accelerometer signals for the detection of human posture and activity," IEEE Trans. Inf. Technol. Biomed., vol. 14, no. 4, pp. 1098-1105, Jul. 2010.
    • (2010) IEEE Trans. Inf. Technol. Biomed. , vol.14 , Issue.4 , pp. 1098-1105
    • Curone, D.1    Bertolotti, G.2    Cristiani, A.3    Secco, E.4    Magenes, G.5
  • 16
    • 0036911363 scopus 로고    scopus 로고
    • Shoe-integrated sensor system for wireless gait analysis and real-time feedback
    • S. Morris and J. Paradiso, "Shoe-integrated sensor system for wireless gait analysis and real-time feedback," in Proc. IEEE 2nd Joint EMBS and BMES Conf., 2002, pp. 2468-2469.
    • (2002) Proc. IEEE 2nd Joint EMBS and BMES Conf. , pp. 2468-2469
    • Morris, S.1    Paradiso, J.2
  • 18
    • 0037599299 scopus 로고    scopus 로고
    • Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderly
    • DOI 10.1109/TBME.2003.812189
    • B. Najafi, K. Aminian, A. Paraschiv-Ionescu, F. Loew, C. Bula, and P. Robert, "Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderly," IEEE Trans. Biomed. Eng., , vol. 50, no. 6, pp. 711-723, Jun. 2003. (Pubitemid 36723605)
    • (2003) IEEE Transactions on Biomedical Engineering , vol.50 , Issue.6 , pp. 711-723
    • Najafi, B.1    Aminian, K.2    Paraschiv-Ionescu, A.3    Loew, F.4    Bula, C.J.5    Robert, P.6
  • 19
    • 33750801862 scopus 로고    scopus 로고
    • Healthgear: A real-time wearable system for monitoring and analyzing physiological signals
    • Apr.
    • N. Oliver and F. Flores-Mangas, "Healthgear: A real-time wearable system for monitoring and analyzing physiological signals," in Proc. Int. Workshop Wear. Implant. Body Sens. Netw., Apr. 2006, p. 64.
    • (2006) Proc. Int. Workshop Wear. Implant. Body Sens. Netw. , pp. 64
    • Oliver, N.1    Flores-Mangas, F.2
  • 20
    • 22144494653 scopus 로고    scopus 로고
    • Coordination of head and trunk accelerations during walking
    • DOI 10.1007/s00421-005-1328-1
    • J. Kavanagh, S. Morrison, and R. Barrett, "Coordination of head and trunk accelerations during walking," Eur. J. Appl. Physiol., vol. 94, no. 4, pp. 468-475, 2005. (Pubitemid 40974065)
    • (2005) European Journal of Applied Physiology , vol.94 , Issue.4 , pp. 468-475
    • Kavanagh, J.J.1    Morrison, S.2    Barrett, R.S.3
  • 21
    • 70350776650 scopus 로고    scopus 로고
    • Detecting walking gait impairment with an ear-worn sensor
    • L. Atallah, O. Aziz, B. Lo, and G.-Z. Yang, "Detecting walking gait impairment with an ear-worn sensor," in Proc. Body Sensor Netw., 2009, pp. 177-182.
    • (2009) Proc. Body Sensor Netw. , pp. 177-182
    • Atallah, L.1    Aziz, O.2    Lo, B.3    Yang, G.-Z.4
  • 22
    • 0031106807 scopus 로고    scopus 로고
    • A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity
    • DOI 10.1109/10.554760
    • C. Bouten, K. Koekkoek, M. Verduin, R. Kodde, and J. Janssen, "A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity," IEEE Trans. Biomed. Eng., vol. 44, no. 3, pp. 136-147, Mar. 1997. (Pubitemid 27084199)
    • (1997) IEEE Transactions on Biomedical Engineering , vol.44 , Issue.3 , pp. 136-147
    • Bouten, C.V.C.1    Koekkoek, K.T.M.2    Verduin, M.3    Kodde, R.4    Janssen, J.D.5
  • 23
    • 35048842427 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • L. Bao and S. S. Intille, "Activity recognition from user-annotated acceleration data," in Proc. 2nd Int. Conf. Pervasive Comput., 2004, pp. 1-17.
    • (2004) Proc. 2nd Int. Conf. Pervasive Comput. , pp. 1-17
    • Bao, L.1    Intille, S.S.2
  • 24
    • 2342539792 scopus 로고    scopus 로고
    • Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement
    • DOI 10.1088/0967-3334/25/2/R01, PII S0967333404704426
    • M. Mathie, A. Coster, N. Lovell, and B. Celler, "Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement," Physiol. Meas., vol. 25, no. 2, pp. R1-R20, 2004. (Pubitemid 38568927)
    • (2004) Physiological Measurement , vol.25 , Issue.2
    • Mathie, M.J.1    Coster, A.C.F.2    Lovell, N.H.3    Celler, B.G.4
  • 28
    • 61849180890 scopus 로고    scopus 로고
    • Ambulatory monitoring of human posture and walking speed using wearable accelerometer sensors
    • W. Yeoh, I. Pek, Y. H. Yong, X. Chen, and A. Waluyo, "Ambulatory monitoring of human posture and walking speed using wearable accelerometer sensors," Proc. IEEE Eng. Med. Biol. Soc., pp. 5184-7, 2008.
    • (2008) Proc. IEEE Eng. Med. Biol. Soc. , pp. 5184-5187
    • Yeoh, W.1    Pek, I.2    Yong, Y.H.3    Chen, X.4    Waluyo, A.5
  • 29
    • 21244473525 scopus 로고    scopus 로고
    • A description of an accelerometer-based mobility monitoring technique
    • DOI 10.1016/j.medengphy.2004.11.006, PII S135045330400219X
    • G. M. Lyons, K. M. Culhane, D. Hilton, P. A. Grace, and D. Lyons, "A description of an accelerometer-based mobility monitoring technique," Med. Eng. Phys., vol. 27, no. 6, pp. 497-504, 2005. (Pubitemid 40884672)
    • (2005) Medical Engineering and Physics , vol.27 , Issue.6 , pp. 497-504
    • Lyons, G.M.1    Culhane, K.M.2    Hilton, D.3    Grace, P.A.4    Lyons, D.5
  • 30
    • 29344474528 scopus 로고    scopus 로고
    • Activity recognition from accelerometer data
    • Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05
    • N. Ravi, N. Dandekar, P. Mysore, and M. L. Littman, "Activity recognition from accelerometer data," in Proc. 17th Conf. Innovative Appl. Artif. Intell., 2005, pp. 1541-1546. (Pubitemid 43006650)
    • (2005) Proceedings of the National Conference on Artificial Intelligence , vol.3 , pp. 1541-1546
    • Ravi, N.1    Dandekar, N.2    Mysore, P.3    Littman, M.L.4
  • 31
    • 77950968433 scopus 로고    scopus 로고
    • Dynamic activity classification based on automatic adaptation of postural orientation
    • S. Song, J. Jang, and S. Park, "Dynamic activity classification based on automatic adaptation of postural orientation," in Proc. IEEE Int. Annu. Conf. Eng. Med. Biol. Soc., 2009, pp. 6175-6178.
    • (2009) Proc. IEEE Int. Annu. Conf. Eng. Med. Biol. Soc. , pp. 6175-6178
    • Song, S.1    Jang, J.2    Park, S.3
  • 33
    • 69349091456 scopus 로고    scopus 로고
    • Detection of type, duration, and intensity of physical activity using an accelerometer
    • A. Bonomi, "Detection of type, duration, and intensity of physical activity using an accelerometer," Med.Sci. Sports Exercise, vol. 41, no. 9, pp. 1770-1777, 2009.
    • (2009) Med.Sci. Sports Exercise , vol.41 , Issue.9 , pp. 1770-1777
    • Bonomi, A.1
  • 35
  • 36
    • 77955198913 scopus 로고    scopus 로고
    • A device-orientation independent method for activity recognition
    • S. Thiemjarus, "A device-orientation independent method for activity recognition," in Proc. Int. Workshop Wear. Implant. Body Sens. Netw., 2010, vol. 0, pp. 19-23.
    • (2010) Proc. Int. Workshop Wear. Implant. Body Sens. Netw. , vol.0 , pp. 19-23
    • Thiemjarus, S.1
  • 38
    • 85146422424 scopus 로고
    • A practical approach to feature selection
    • San Francisco, CA
    • K. Kira and L. A. Rendell, "A practical approach to feature selection," in Proc. 9th Int. Workshop Mach. Learn., San Francisco, CA, 1992, pp. 249-256.
    • (1992) Proc. 9th Int. Workshop Mach. Learn. , pp. 249-256
    • Kira, K.1    Rendell, L.A.2
  • 39
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy
    • DOI 10.1109/TPAMI.2005.159
    • H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 8, pp. 1226-1238, Aug. 2005. (Pubitemid 41245053)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 41
    • 28044434144 scopus 로고    scopus 로고
    • Conducting accelerometer-based activity assessments in field-based research
    • DOI 10.1249/01.mss.0000185657.86065.98
    • S. Trost, K. McIver, and R. Pate, "Conducting accelerometer-based activity assessments in field-based research," Med. Sci. Sports Exercise, vol. 37, no. 11, pp. S531-S543, 2005. (Pubitemid 41691816)
    • (2005) Medicine and Science in Sports and Exercise , vol.37 , Issue.11 SUPPL.
    • Trost, S.G.1    Mciver, K.L.2    Pate, R.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.