These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

256 related items for PubMed ID: 24691526

  • 1. Feature selection and activity recognition system using a single triaxial accelerometer.
    Gupta P, Dallas T.
    IEEE Trans Biomed Eng; 2014 Jun; 61(6):1780-6. PubMed ID: 24691526
    [Abstract] [Full Text] [Related]

  • 2. Identifying types of physical activity with a single accelerometer: evaluating laboratory-trained algorithms in daily life.
    Gyllensten IC, Bonomi AG.
    IEEE Trans Biomed Eng; 2011 Sep; 58(9):2656-63. PubMed ID: 21712150
    [Abstract] [Full Text] [Related]

  • 3. Child activity recognition based on cooperative fusion model of a triaxial accelerometer and a barometric pressure sensor.
    Nam Y, Park JW.
    IEEE J Biomed Health Inform; 2013 Mar; 17(2):420-6. PubMed ID: 24235114
    [Abstract] [Full Text] [Related]

  • 4. Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems.
    Gao L, Bourke AK, Nelson J.
    Med Eng Phys; 2014 Jun; 36(6):779-85. PubMed ID: 24636448
    [Abstract] [Full Text] [Related]

  • 5. Estimating energy expenditure using body-worn accelerometers: a comparison of methods, sensors number and positioning.
    Altini M, Penders J, Vullers R, Amft O.
    IEEE J Biomed Health Inform; 2015 Jan; 19(1):219-26. PubMed ID: 24691168
    [Abstract] [Full Text] [Related]

  • 6. Validation of a body-worn accelerometer to measure activity patterns in octogenarians.
    Taylor LM, Klenk J, Maney AJ, Kerse N, Macdonald BM, Maddison R.
    Arch Phys Med Rehabil; 2014 May; 95(5):930-4. PubMed ID: 24486241
    [Abstract] [Full Text] [Related]

  • 7. Triaxial accelerometer-based fall detection method using a self-constructing cascade-AdaBoost-SVM classifier.
    Cheng WC, Jhan DM.
    IEEE J Biomed Health Inform; 2013 Mar; 17(2):411-9. PubMed ID: 24235113
    [Abstract] [Full Text] [Related]

  • 8. Physical activity classification using the GENEA wrist-worn accelerometer.
    Zhang S, Rowlands AV, Murray P, Hurst TL.
    Med Sci Sports Exerc; 2012 Apr; 44(4):742-8. PubMed ID: 21988935
    [Abstract] [Full Text] [Related]

  • 9. SoM: a smart sensor for human activity monitoring and assisted healthy ageing.
    Naranjo-Hernández D, Roa LM, Reina-Tosina J, Estudillo-Valderrama MÁ.
    IEEE Trans Biomed Eng; 2012 Nov; 59(11):3177-84. PubMed ID: 23086195
    [Abstract] [Full Text] [Related]

  • 10. The application of EMD in activity recognition based on a single triaxial accelerometer.
    Liao M, Guo Y, Qin Y, Wang Y.
    Biomed Mater Eng; 2015 Nov; 26 Suppl 1():S1533-9. PubMed ID: 26405917
    [Abstract] [Full Text] [Related]

  • 11. Physical Human Activity Recognition Using Wearable Sensors.
    Attal F, Mohammed S, Dedabrishvili M, Chamroukhi F, Oukhellou L, Amirat Y.
    Sensors (Basel); 2015 Dec 11; 15(12):31314-38. PubMed ID: 26690450
    [Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14. Recognizing upper limb movements with wrist worn inertial sensors using k-means clustering classification.
    Biswas D, Cranny A, Gupta N, Maharatna K, Achner J, Klemke J, Jöbges M, Ortmann S.
    Hum Mov Sci; 2015 Apr 11; 40():59-76. PubMed ID: 25528632
    [Abstract] [Full Text] [Related]

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. Activity recognition in planetary navigation field tests using classification algorithms applied to accelerometer data.
    Song W, Ade C, Broxterman R, Barstow T, Nelson T, Warren S.
    Annu Int Conf IEEE Eng Med Biol Soc; 2012 Apr 11; 2012():1586-9. PubMed ID: 23366208
    [Abstract] [Full Text] [Related]

  • 18. 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.
    Physiol Meas; 2006 Oct 11; 27(10):935-51. PubMed ID: 16951454
    [Abstract] [Full Text] [Related]

  • 19. Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm.
    Ohkawara K, Oshima Y, Hikihara Y, Ishikawa-Takata K, Tabata I, Tanaka S.
    Br J Nutr; 2011 Jun 11; 105(11):1681-91. PubMed ID: 21262061
    [Abstract] [Full Text] [Related]

  • 20.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 13.