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Items: 1 to 20 of 227

1.

Activity recognition with smartphone support.

Guiry JJ, van de Ven P, Nelson J, Warmerdam L, Riper H.

Med Eng Phys. 2014 Jun;36(6):670-5. doi: 10.1016/j.medengphy.2014.02.009. Epub 2014 Mar 15.

PMID:
24641812
2.

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
3.

A lightweight hierarchical activity recognition framework using smartphone sensors.

Han M, Bang JH, Nugent C, McClean S, Lee S.

Sensors (Basel). 2014 Sep 2;14(9):16181-95. doi: 10.3390/s140916181.

4.

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, Büla CJ, Robert P.

IEEE Trans Biomed Eng. 2003 Jun;50(6):711-23.

PMID:
12814238
5.

Detection of physical activity types using triaxial accelerometers.

Skotte J, Korshøj M, Kristiansen J, Hanisch C, Holtermann A.

J Phys Act Health. 2014 Jan;11(1):76-84. doi: 10.1123/jpah.2011-0347. Epub 2012 Dec 17.

PMID:
23249722
6.

Detecting falls with wearable sensors using machine learning techniques.

Özdemir AT, Barshan B.

Sensors (Basel). 2014 Jun 18;14(6):10691-708. doi: 10.3390/s140610691.

7.

A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer.

Vähä-Ypyä H, Vasankari T, Husu P, Suni J, Sievänen H.

Clin Physiol Funct Imaging. 2015 Jan;35(1):64-70. doi: 10.1111/cpf.12127. Epub 2014 Jan 7.

PMID:
24393233
8.

Activity classification using realistic data from wearable sensors.

Pärkkä J, Ermes M, Korpipää P, Mäntyjärvi J, Peltola J, Korhonen I.

IEEE Trans Inf Technol Biomed. 2006 Jan;10(1):119-28.

PMID:
16445257
9.

Fusion of smartphone motion sensors for physical activity recognition.

Shoaib M, Bosch S, Incel OD, Scholten H, Havinga PJ.

Sensors (Basel). 2014 Jun 10;14(6):10146-76. doi: 10.3390/s140610146.

10.

Machine learning for activity recognition: hip versus wrist data.

Trost SG, Zheng Y, Wong WK.

Physiol Meas. 2014 Nov;35(11):2183-9. doi: 10.1088/0967-3334/35/11/2183. Epub 2014 Oct 23.

PMID:
25340887
11.

Multi-sensor fusion for enhanced contextual awareness of everyday activities with ubiquitous devices.

Guiry JJ, van de Ven P, Nelson J.

Sensors (Basel). 2014 Mar 21;14(3):5687-701. doi: 10.3390/s140305687.

12.

Energy expenditure prediction using a miniaturized ear-worn sensor.

Atallah L, Leong JJ, Lo B, Yang GZ.

Med Sci Sports Exerc. 2011 Jul;43(7):1369-77. doi: 10.1249/MSS.0b013e3182093014.

PMID:
21200349
13.

Varying behavior of different window sizes on the classification of static and dynamic physical activities from a single accelerometer.

Fida B, Bernabucci I, Bibbo D, Conforto S, Schmid M.

Med Eng Phys. 2015 Jul;37(7):705-11. doi: 10.1016/j.medengphy.2015.04.005. Epub 2015 May 13.

PMID:
25983067
14.

Estimation of accelerometer orientation for activity recognition.

Friedman A, Hajj Chehade N, Chien C, Pottie G.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:2076-9. doi: 10.1109/EMBC.2012.6346368.

PMID:
23366329
15.

A comparison of activity classification in younger and older cohorts using a smartphone.

Del Rosario MB, Wang K, Wang J, Liu Y, Brodie M, Delbaere K, Lovell NH, Lord SR, Redmond SJ.

Physiol Meas. 2014 Nov;35(11):2269-86. doi: 10.1088/0967-3334/35/11/2269. Epub 2014 Oct 23.

PMID:
25340659
16.

A description of an accelerometer-based mobility monitoring technique.

Lyons GM, Culhane KM, Hilton D, Grace PA, Lyons D.

Med Eng Phys. 2005 Jul;27(6):497-504. Epub 2005 Jan 19.

PMID:
15990066
17.

Objective diagnosis of ADHD using IMUs.

O'Mahony N, Florentino-Liano B, Carballo JJ, Baca-García E, Rodríguez AA.

Med Eng Phys. 2014 Jul;36(7):922-6. doi: 10.1016/j.medengphy.2014.02.023. Epub 2014 Mar 20.

PMID:
24657100
18.

Validity of a Smartphone-Based Fall Detection Application on Different Phones Worn on a Belt or in a Trouser Pocket.

Vermeulen J, Willard S, Aguiar B, De Witte LP.

Assist Technol. 2015 Spring;27(1):18-23. doi: 10.1080/10400435.2014.949015.

PMID:
26132221
19.

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
20.

A single vs. multi-sensor approach to enhanced detection of smartphone placement.

Guiry JJ, Karr CJ, van de Ven P, Nelson J, Begale M.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:3691-4. doi: 10.1109/EMBC.2014.6944424.

PMID:
25570792

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