메뉴 건너뛰기




Volumn 14, Issue 6, 2014, Pages 9995-10023

Dealing with the effects of sensor displacement in wearable activity recognition

Author keywords

Activity recognition; Human behavior inference; Inertial sensing; Real world; Sensor displacement; Sensor fusion; Wearable sensors

Indexed keywords

PATTERN RECOGNITION;

EID: 84902161665     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s140609995     Document Type: Article
Times cited : (133)

References (59)
  • 1
    • 39449090035 scopus 로고    scopus 로고
    • Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions
    • Ermes, M.; Parkka, J.; Mantyjarvi, J.; Korhonen, I. Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions. IEEE Trans. Inf. Technol. Biomed. 2008, 12, 20-26.
    • (2008) IEEE Trans. Inf. Technol. Biomed. , vol.12 , pp. 20-26
    • Ermes, M.1    Parkka, J.2    Mantyjarvi, J.3    Korhonen, I.4
  • 3
    • 84255177530 scopus 로고    scopus 로고
    • Activity classification using a single wrist-worn accelerometer
    • In Knowledge Information, Industrial Management and Applications, Benevento, Italy, 8-11 Spetember
    • Chernbumroong, S.; Atkins, A.; Yu, H. Activity classification using a single wrist-worn accelerometer. In Proceedings of the 5th International Conference on Software, Knowledge Information, Industrial Management and Applications, Benevento, Italy, 8-11 Spetember 2011; pp. 1-6.
    • (2011) Proceedings of the 5th International Conference on Software , pp. 1-6
    • Chernbumroong, S.1    Atkins, A.2    Yu, H.3
  • 5
    • 79960984111 scopus 로고    scopus 로고
    • Sensorpositioning for activity recognition using wearable accelerometers
    • Atallah, L.; Lo, B.; King, R.; Yang, G.Z. Sensorpositioning for activity recognition using wearable accelerometers. IEEE Trans. Biomed. Circuits Syst. 2011, 5, 320-329.
    • (2011) IEEE Trans. Biomed. Circuits Syst. , vol.5 , pp. 320-329
    • Atallah, L.1    Lo, B.2    King, R.3    Yang, G.Z.4
  • 7
    • 63649105268 scopus 로고    scopus 로고
    • Influence of a loose-fitting sensing garment on posture recognition in rehabilitation
    • In Baltimore, MD, USA, 20-22 November
    • Harms, H.; Amft, O.; Tröster, G. Influence of a loose-fitting sensing garment on posture recognition in rehabilitation. In Proceedings of the IEEE Biomedical Circuits and Systems Conference, Baltimore, MD, USA, 20-22 November 2008; pp. 353-356.
    • (2008) Proceedings of the IEEE Biomedical Circuits and Systems Conference , pp. 353-356
    • Harms, H.1    Amft, O.2    Tröster, G.3
  • 8
  • 9
    • 77950938194 scopus 로고    scopus 로고
    • Evolving discriminative features robust to sensor displacement for activity recognition in body area sensor networks
    • In Sensor Networks and Information Processing, Melbourne, Australia, 7-10 December
    • Förster, K.; Brem, P.; Roggen, D.; Troster, G. Evolving discriminative features robust to sensor displacement for activity recognition in body area sensor networks. In Proceedings of the 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, Australia, 7-10 December 2009; pp. 43-48.
    • (2009) Proceedings of the 5th International Conference on Intelligent Sensors , pp. 43-48
    • Förster, K.1    Brem, P.2    Roggen, D.3    Troster, G.4
  • 11
    • 79952177826 scopus 로고    scopus 로고
    • A method to deal with installation errors of wearable accelerometers for human activity recognition
    • Jiang, M.; Shang, H.; Wang, Z.; Li, H.; Wang, Y. A method to deal with installation errors of wearable accelerometers for human activity recognition. Physiol. Meas. 2011, 32, 347-358.
    • (2011) Physiol. Meas. , vol.32 , pp. 347-358
    • Jiang, M.1    Shang, H.2    Wang, Z.3    Li, H.4    Wang, Y.5
  • 13
    • 84876257028 scopus 로고    scopus 로고
    • Impact of sensor misplacement on dynamic time warping based human activity recognition using wearable computers
    • In La Jolla, CA, USA, 22-25 October
    • Kale, N.; Lee, J.; Lotfian, R.; Jafari, R. Impact of sensor misplacement on dynamic time warping based human activity recognition using wearable computers. In Proceedings of the Conference on Wireless Health, La Jolla, CA, USA, 22-25 October 2012; pp. 1-8.
    • (2012) Proceedings of the Conference on Wireless Health , pp. 1-8
    • Kale, N.1    Lee, J.2    Lotfian, R.3    Jafari, R.4
  • 16
    • 84879689349 scopus 로고    scopus 로고
    • Unsupervised adaptation for acceleration-based activity recognition: Robustness to sensor displacement and rotation
    • Chavarriaga, R.; Bayati, H.; del R Millan, J. Unsupervised adaptation for acceleration-based activity recognition: Robustness to sensor displacement and rotation. Pers. Ubiquit. Comput. 2012, 17, 479-490.
    • (2012) Pers. Ubiquit. Comput. , vol.17 , pp. 479-490
    • Chavarriaga, R.1    Bayati, H.2    del Millan, J.R.3
  • 17
    • 34249047899 scopus 로고    scopus 로고
    • Covariate shift adaptation by importance weighted cross validation
    • Sugiyama, M.; Krauledat, M.; Müller, K.R. Covariate shift adaptation by importance weighted cross validation. J. Mach. Learn. Res. 2007, 8, 985-1005.
    • (2007) J. Mach. Learn. Res. , vol.8 , pp. 985-1005
    • Sugiyama, M.1    Krauledat, M.2    Müller, K.R.3
  • 18
    • 70450179606 scopus 로고    scopus 로고
    • Unsupervised classifier self-calibration through repeated context occurences: Is there robustness against sensor displacement to gain?
    • In Linz, Austria, 4-7 September
    • Förster, K.; Roggen, D.; Tröster, G. Unsupervised classifier self-calibration through repeated context occurences: Is there robustness against sensor displacement to gain? In Proceedings of the 13th IEEE International Symposium onWearable Computers, Linz, Austria, 4-7 September 2009; pp. 77-84.
    • (2009) Proceedings of the 13th IEEE International Symposium onWearable Computers , pp. 77-84
    • Förster, K.1    Roggen, D.2    Tröster, G.3
  • 19
    • 51449106906 scopus 로고    scopus 로고
    • Activity recognition from on-body sensors by classifier fusion: Sensor scalability and robustness
    • In Sensor Networks and Information, Melbourne, Qld., Austria, 3-6 December
    • Zappi, P.; Stiefmeier, T.; Farella, E.; Roggen, D.; Benini, L.; Troster, G. Activity recognition from on-body sensors by classifier fusion: Sensor scalability and robustness. In Proceedings of the 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, Melbourne, Qld., Austria, 3-6 December 2007; pp. 281-286.
    • (2007) Proceedings of the 3rd International Conference on Intelligent Sensors , pp. 281-286
    • Zappi, P.1    Stiefmeier, T.2    Farella, E.3    Roggen, D.4    Benini, L.5    Troster, G.6
  • 22
    • 84863197751 scopus 로고    scopus 로고
    • On the use of sensor fusion to reduce the impact of use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition
    • Banos, O.; Damas, M.; Pomares, H.; Rojas, I. On the use of sensor fusion to reduce the impact of use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition. Sensors 2012, 12, 8039-8054.
    • (2012) Sensors , vol.12 , pp. 8039-8054
    • Banos, O.1    Damas, M.2    Pomares, H.3    Rojas, I.4
  • 23
    • 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 Comput. 2004, 23, 1-17.
    • (2004) Pervasive Comput. , vol.23 , pp. 1-17
    • Bao, L.1    Intille, S.S.2
  • 26
    • 78751538781 scopus 로고    scopus 로고
    • A naturalistic 3D acceleration-based activity dataset and benchmark evaluations
    • In Istanbul, Turkey, 10-13 Octember
    • Yang, X.; Jin, L. A naturalistic 3D acceleration-based activity dataset and benchmark evaluations. In Proceedings of the IEEE International Conference on Systems Man and Cybernetics, Istanbul, Turkey, 10-13 Octember 2010; pp. 4081-4085.
    • (2010) Proceedings of the IEEE International Conference on Systems Man and Cybernetics , pp. 4081-4085
    • Yang, X.1    Jin, L.2
  • 29
    • 84902165347 scopus 로고    scopus 로고
    • Available online: (accessed on 12 May 2014)
    • REALDISP dataset. Available online: http://www.ugr.es/oresti/datasets (accessed on 12 May 2014).
    • REALDISP dataset.
  • 30
    • 84866564492 scopus 로고    scopus 로고
    • Xsens Technologies B.V. Available online: (accessed on 12 May 2014)
    • Xsens Technologies B.V. XM-B Technical Documentation, 2009. Available online: http://www.xsens.com (accessed on 12 May 2014).
    • (2009) XM-B Technical Documentation
  • 31
    • 42549150349 scopus 로고    scopus 로고
    • Rapid prototyping of activity recognition applications
    • Bannach, D.; Amft, O.; Lukowicz, P. Rapid prototyping of activity recognition applications. IEEE Pervas. Comput. 2008, 7, 22-31.
    • (2008) IEEE Pervas. Comput. , vol.7 , pp. 22-31
    • Bannach, D.1    Amft, O.2    Lukowicz, P.3
  • 32
    • 79959490963 scopus 로고    scopus 로고
    • Wearable computing: Designing and sharing activity-recognition systems across platforms
    • Roggen, D.; Magnenat, S.; Waibel, M.; Tröster, G. Wearable computing: Designing and sharing activity-recognition systems across platforms. IEEE Robot. Autom. Mag. 2011, 18, 83-95.
    • (2011) IEEE Robot. Autom. Mag. , vol.18 , pp. 83-95
    • Roggen, D.1    Magnenat, S.2    Waibel, M.3    Tröster, G.4
  • 33
    • 0037599299 scopus 로고    scopus 로고
    • Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderly
    • Najafi, B.; Aminian, K.; Paraschiv-Ionescu, A.; Loew, F.; Bula, C.J.; Robert, P. Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderly. IEEE Trans. Biomed. Eng. 2003, 50, 711-723.
    • (2003) IEEE Trans. Biomed. Eng. , vol.50 , pp. 711-723
    • Najafi, B.1    Aminian, K.2    Paraschiv-Ionescu, A.3    Loew, F.4    Bula, C.J.5    Robert, P.6
  • 34
    • 16344386255 scopus 로고    scopus 로고
    • Automated estimation of initial and terminal contact timing using accelerometers; development and validation in transtibial amputees and controls
    • Selles, R.; Formanoy, M.; Bussmann, J.; Janssens, P.; Stam, H. Automated estimation of initial and terminal contact timing using accelerometers; development and validation in transtibial amputees and controls. IEEE Trans. Neural Syst. Rehabil. Eng. 2005, 13, 81-88.
    • (2005) IEEE Trans. Neural Syst. Rehabil. Eng. , vol.13 , pp. 81-88
    • Selles, R.1    Formanoy, M.2    Bussmann, J.3    Janssens, P.4    Stam, H.5
  • 35
    • 84898670848 scopus 로고    scopus 로고
    • Window size impact in human activity recognition
    • Banos, O.; Galvez, J.M.; Damas, M.; Pomares, H.; Rojas, I. Window size impact in human activity recognition. Sensors 2014, 14, 6474-6499.
    • (2014) Sensors , vol.14 , pp. 6474-6499
    • Banos, O.1    Galvez, J.M.2    Damas, M.3    Pomares, H.4    Rojas, I.5
  • 36
    • 2342539792 scopus 로고    scopus 로고
    • Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement
    • Mathie, M.J.; Coster, A.C.F.; Lovell, N.H.; Celler, B.G. Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol. Meas. 2004, 25, 1-20.
    • (2004) Physiol. Meas. , vol.25 , pp. 1-20
    • Mathie, M.J.1    Coster, A.C.F.2    Lovell, N.H.3    Celler, B.G.4
  • 39
    • 84858334995 scopus 로고    scopus 로고
    • Daily living activity recognition based on statistical feature quality group selection
    • Banos, O.; Damas, M.; Pomares, H.; Prieto, A.; Rojas, I. Daily living activity recognition based on statistical feature quality group selection. Exp. Syst. Appl. 2012, 39, 8013-8021.
    • (2012) Exp. Syst. Appl. , vol.39 , pp. 8013-8021
    • Banos, O.1    Damas, M.2    Pomares, H.3    Prieto, A.4    Rojas, I.5
  • 43
    • 84881311778 scopus 로고    scopus 로고
    • A survey on human activity recognition using wearable sensors
    • Lara, O.D.; Labrador, M.A. A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutor. 2013, 15, 1192-1209.
    • (2013) IEEE Commun. Surv. Tutor. , vol.15 , pp. 1192-1209
    • Lara, O.D.1    Labrador, M.A.2
  • 44
    • 84902190007 scopus 로고    scopus 로고
    • Available online: (accessed on 12 May 2014)
    • Adidas®. Available online: http://micoach.adidas.com/ (accessed on 12 May 2014).
    • Adidas®.
  • 45
    • 84902181238 scopus 로고    scopus 로고
    • Available online: (accessed on 12 May 2014)
    • Nike®. Available online: http://nikeplus.nike.com/plus/products/sport watch/ (accessed on 12 May 2014).
    • Nike®.
  • 46
    • 84902214511 scopus 로고    scopus 로고
    • Available online: (accessed on 12 May 2014)
    • Jawbone®. Available online: https://jawbone.com/up/international (accessed on 12 May 2014).
    • Jawbone®.
  • 47
    • 84902199271 scopus 로고    scopus 로고
    • Available online: (accessed on 12 May 2014)
    • Hidalgo®. Available online: http://www.equivital.co.uk/products/tnr/sense-and-transmit (accessed on 12 May 2014).
    • Hidalgo®.
  • 48
    • 84902198796 scopus 로고    scopus 로고
    • Available online: (accessed on 12 May 2014)
    • UnderArmour®. Available online: http://www.underarmour.com/shop/us/en/armour39 (accessed on 12 May 2014).
    • UnderArmour®.
  • 49
    • 84902165422 scopus 로고    scopus 로고
    • Available online: (accessed on 12 May 2014)
    • Fitbit®. Available online: http://www.fitbit.com/es/store (accessed on 12 May 2014).
    • Fitbit®.
  • 52
  • 53
    • 77957017939 scopus 로고    scopus 로고
    • Preprocessing techniques for context recognition from accelerometer data
    • Figo, D.; Diniz, P.C.; Ferreira, D.R.; Cardoso, J.M.P. Preprocessing techniques for context recognition from accelerometer data. Pers. Ubiquitous Comput. 2010, 14, 645-662.
    • (2010) Pers. Ubiquitous Comput. , vol.14 , pp. 645-662
    • Figo, D.1    Diniz, P.C.2    Ferreira, D.R.3    Cardoso, J.M.P.4
  • 56
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Cover, T.M.; Hart, P.E. Nearest neighbor pattern classification. IEEE Trans. Inf. Theory 1967, 13, 21-27.
    • (1967) IEEE Trans. Inf. Theory , vol.13 , pp. 21-27
    • Cover, T.M.1    Hart, P.E.2
  • 59
    • 0017336301 scopus 로고
    • Asymptotics for and against cross-validation
    • Stone, M. Asymptotics for and against cross-validation. Biometrika 1977, 64, 29-35.
    • (1977) Biometrika , vol.64 , pp. 29-35
    • Stone, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.