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Pubmed for Handhelds
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Journal Abstract Search
193 related items for PubMed ID: 21712150
1. 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. 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]
7. 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; 105(11):1681-91. PubMed ID: 21262061 [Abstract] [Full Text] [Related]
8. Performance of Activity Classification Algorithms in Free-Living Older Adults. Sasaki JE, Hickey AM, Staudenmayer JW, John D, Kent JA, Freedson PS. Med Sci Sports Exerc; 2016 May; 48(5):941-50. PubMed ID: 26673129 [Abstract] [Full Text] [Related]
9. Single-accelerometer-based daily physical activity classification. Long X, Yin B, Aarts RM. Annu Int Conf IEEE Eng Med Biol Soc; 2009 May; 2009():6107-10. PubMed ID: 19965261 [Abstract] [Full Text] [Related]
10. Accurate prediction of energy expenditure using a shoe-based activity monitor. Sazonova N, Browning RC, Sazonov E. Med Sci Sports Exerc; 2011 Jul; 43(7):1312-21. PubMed ID: 21131868 [Abstract] [Full Text] [Related]
14. Identification of children's activity type with accelerometer-based neural networks. de Vries SI, Engels M, Garre FG. Med Sci Sports Exerc; 2011 Oct; 43(10):1994-9. PubMed ID: 21448085 [Abstract] [Full Text] [Related]
15. Classifying household and locomotive activities using a triaxial accelerometer. Oshima Y, Kawaguchi K, Tanaka S, Ohkawara K, Hikihara Y, Ishikawa-Takata K, Tabata I. Gait Posture; 2010 Mar; 31(3):370-4. PubMed ID: 20138524 [Abstract] [Full Text] [Related]
16. Multisensor data fusion for physical activity assessment. Liu S, Gao RX, John D, Staudenmayer JW, Freedson PS. IEEE Trans Biomed Eng; 2012 Mar; 59(3):687-96. PubMed ID: 22156943 [Abstract] [Full Text] [Related]
17. 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]
18. A wearable sensor module with a neural-network-based activity classification algorithm for daily energy expenditure estimation. Lin CW, Yang YT, Wang JS, Yang YC. IEEE Trans Inf Technol Biomed; 2012 Sep; 16(5):991-8. PubMed ID: 22875251 [Abstract] [Full Text] [Related]
19. Comparison of the performance of the activPAL Professional physical activity logger to a discrete accelerometer-based activity monitor. Godfrey A, Culhane KM, Lyons GM. Med Eng Phys; 2007 Oct; 29(8):930-4. PubMed ID: 17134934 [Abstract] [Full Text] [Related]
20. 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] Page: [Next] [New Search]