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Results: 1 to 20 of 116

Similar articles for PubMed (Select 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. doi: 10.1109/TBME.2014.2307069. Epub 2014 Mar 28.

PMID:
24691526
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. doi: 10.1109/TBME.2011.2160723. Epub 2011 Jun 27.

PMID:
21712150
3.

Assessment of wear/nonwear time classification algorithms for triaxial accelerometer.

Choi L, Ward SC, Schnelle JF, Buchowski MS.

Med Sci Sports Exerc. 2012 Oct;44(10):2009-16. doi: 10.1249/MSS.0b013e318258cb36.

4.

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. doi: 10.1109/JBHI.2012.2235075.

PMID:
24235114
5.

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. doi: 10.1016/j.medengphy.2014.02.012. Epub 2014 Mar 11.

PMID:
24636448
6.

Separating bedtime rest from activity using waist or wrist-worn accelerometers in youth.

Tracy DJ, Xu Z, Choi L, Acra S, Chen KY, Buchowski MS.

PLoS One. 2014 Apr 11;9(4):e92512. doi: 10.1371/journal.pone.0092512. eCollection 2014.

7.

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.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1586-9. doi: 10.1109/EMBC.2012.6346247.

PMID:
23366208
8.

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. doi: 10.1016/j.apmr.2014.01.013. Epub 2014 Jan 30.

PMID:
24486241
9.

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. doi: 10.1109/JBHI.2012.2237034.

PMID:
24235113
10.

Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring.

Karantonis DM, Narayanan MR, Mathie M, Lovell NH, Celler BG.

IEEE Trans Inf Technol Biomed. 2006 Jan;10(1):156-67.

PMID:
16445260
11.

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. doi: 10.1249/MSS.0b013e31823bf95c.

PMID:
21988935
12.

Single-accelerometer-based daily physical activity classification.

Long X, Yin B, Aarts RM.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:6107-10. doi: 10.1109/IEMBS.2009.5334925.

PMID:
19965261
13.

Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.

Welch WA, Bassett DR, Thompson DL, Freedson PS, Staudenmayer JW, John D, Steeves JA, Conger SA, Ceaser T, Howe CA, Sasaki JE, Fitzhugh EC.

Med Sci Sports Exerc. 2013 Oct;45(10):2012-9. doi: 10.1249/MSS.0b013e3182965249.

14.

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. doi: 10.1109/TBME.2012.2206384.

PMID:
23086195
15.
16.

Accelerometer's position independent physical activity recognition system for long-term activity monitoring in the elderly.

Khan AM, Lee YK, Lee S, Kim TS.

Med Biol Eng Comput. 2010 Dec;48(12):1271-9. doi: 10.1007/s11517-010-0701-3. Epub 2010 Nov 4.

PMID:
21052854
17.

Validity of using tri-axial accelerometers to measure human movement - Part II: Step counts at a wide range of gait velocities.

Fortune E, Lugade V, Morrow M, Kaufman K.

Med Eng Phys. 2014 Jun;36(6):659-69. doi: 10.1016/j.medengphy.2014.02.006. Epub 2014 Mar 20.

PMID:
24656871
18.
19.

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;27(10):935-51. Epub 2006 Jul 25.

PMID:
16951454
20.

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. doi: 10.1017/S0007114510005441. Epub 2011 Jan 25.

PMID:
21262061
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