메뉴 건너뛰기




Volumn , Issue , 2013, Pages 80-87

Towards physical activity recognition using smartphone sensors

Author keywords

Accelermeter; Activity recognition; Assisted living; Gyroscope; Health monitoring; Magnetometer; Sensor fusion; Smartphone sensors; Well being applications

Indexed keywords


EID: 84894201395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UIC-ATC.2013.43     Document Type: Conference Paper
Times cited : (213)

References (15)
  • 1
    • 84856405292 scopus 로고    scopus 로고
    • Healthcare in the pocket: Mapping the space of mobile-phone health interventions
    • Klasnja, Predrag, and Wanda Pratt. "Healthcare in the pocket: Mapping the space of mobile-phone health interventions." Journal of biomedical informatics 45, no. 1 (2012): 184-198.
    • (2012) Journal of Biomedical Informatics , vol.45 , Issue.1 , pp. 184-198
    • Klasnja1    Predrag2    Pratt, W.3
  • 3
    • 84894190782 scopus 로고    scopus 로고
    • Deliverables, Budget User Centric Reasoning for Well-working (P07). TNO, Project planning
    • Kraaij, W. COMMIT Projectplan, Workpackages, Deliverables, Budget User Centric Reasoning for Well-working (P07). TNO, Project planning, 2011.
    • (2011) COMMIT Projectplan, Workpackages
    • Kraaij, W.1
  • 6
    • 84878102799 scopus 로고    scopus 로고
    • A review and taxonomy of activity recognition on mobile phones
    • Incel, Ozlem Durmaz, Mustafa Kose, and Cem Ersoy. "A review and taxonomy of activity recognition on mobile phones." BioNanoScience (2013): 1-27.
    • (2013) BioNanoScience , pp. 1-27
    • Incel, O.D.1    Kose, M.2    Ersoy, C.3
  • 7
    • 84879689080 scopus 로고    scopus 로고
    • Activity logging using lightweight classification techniques in mobile devices
    • Martín, Henar, Ana M. Bernardos, Josué Iglesias, and José R. Casar. "Activity logging using lightweight classification techniques in mobile devices." Personal and Ubiquitous Computing 17, no. 4 (2013): 675-695.
    • (2013) Personal and Ubiquitous Computing , vol.17 , Issue.4 , pp. 675-695
    • Henar, M.1    Bernardos, A.M.2    Iglesias, J.3    Casar, J.R.4
  • 8
    • 84894127729 scopus 로고    scopus 로고
    • Samsung Galaxy S2 specifications [Last accessed on 24th July 2013 ].
    • Samsung Galaxy S2 specifications available at http://www.samsung.com/ global/microsite/galaxys2/html/ [Last accessed on 24th July 2013 ].
  • 9
    • 65349117069 scopus 로고    scopus 로고
    • A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data
    • Preece, Stephen J., John Yannis Goulermas, Laurence PJ Kenney, and David Howard. "A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data." Biomedical Engineering, IEEE Transactions on 56, no. 3 (2009): 871-879.
    • (2009) Biomedical Engineering, IEEE Transactions on , vol.56 , Issue.3 , pp. 871-879
    • Preece, S.J.1    Goulermas, J.Y.2    Kenney, L.P.J.3    Howard, D.4
  • 11
    • 85037748867 scopus 로고    scopus 로고
    • Activity recognition on an accelerometer embedded mobile phone with varying positions and orientations
    • Springer Berlin Heidelberg
    • Sun, Lin, Daqing Zhang, Bin Li, Bin Guo, and Shijian Li. "Activity recognition on an accelerometer embedded mobile phone with varying positions and orientations." InUbiquitous intelligence and computing, pp. 548-562. Springer Berlin Heidelberg, 2010.
    • (2010) InUbiquitous Intelligence and Computing , pp. 548-562
    • Lin, S.1    Zhang, D.2    Li, B.3    Guo, B.4    Li, S.5
  • 13
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: A systematic study
    • Japkowicz, Nathalie, and Shaju Stephen. "The class imbalance problem: A systematic study." Intelligent data analysis 6, no. 5 (2002): 429-449.
    • (2002) Intelligent Data Analysis , vol.6 , Issue.5 , pp. 429-449
    • Nathalie, J.1    Stephen, S.2
  • 15
    • 84894215711 scopus 로고    scopus 로고
    • Our activity recognition dataset and data collection app is
    • Our activity recognition dataset and data collection app is available at http://ps.ewi.utwente.nl/Datasets.php.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.