322 related articles for article (PubMed ID: 24641812)
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. PubMed ID: 24641812
[TBL] [Abstract][Full Text] [Related]
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. PubMed ID: 24636448
[TBL] [Abstract][Full Text] [Related]
3. 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. PubMed ID: 12814238
[TBL] [Abstract][Full Text] [Related]
4. Human Physical Activity Recognition Using Smartphone Sensors.
Voicu RA; Dobre C; Bajenaru L; Ciobanu RI
Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30678039
[TBL] [Abstract][Full Text] [Related]
5. 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. PubMed ID: 21200349
[TBL] [Abstract][Full Text] [Related]
6. 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. PubMed ID: 25983067
[TBL] [Abstract][Full Text] [Related]
7. 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. PubMed ID: 25340659
[TBL] [Abstract][Full Text] [Related]
8. 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. PubMed ID: 15990066
[TBL] [Abstract][Full Text] [Related]
9. 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. PubMed ID: 24657100
[TBL] [Abstract][Full Text] [Related]
10. 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; 27(1):18-23. PubMed ID: 26132221
[TBL] [Abstract][Full Text] [Related]
11. 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. PubMed ID: 23249722
[TBL] [Abstract][Full Text] [Related]
12. 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
[TBL] [Abstract][Full Text] [Related]
13. Suitability of commercial barometric pressure sensors to distinguish sitting and standing activities for wearable monitoring.
Massé F; Bourke AK; Chardonnens J; Paraschiv-Ionescu A; Aminian K
Med Eng Phys; 2014 Jun; 36(6):739-44. PubMed ID: 24485500
[TBL] [Abstract][Full Text] [Related]
14. 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
[TBL] [Abstract][Full Text] [Related]
15. A feasibility study on smartphone accelerometer-based recognition of household activities and influence of smartphone position.
Della Mea V; Quattrin O; Parpinel M
Inform Health Soc Care; 2017 Dec; 42(4):321-334. PubMed ID: 28005434
[TBL] [Abstract][Full Text] [Related]
16. Machine learning for activity recognition: hip versus wrist data.
Trost SG; Zheng Y; Wong WK
Physiol Meas; 2014 Nov; 35(11):2183-9. PubMed ID: 25340887
[TBL] [Abstract][Full Text] [Related]
17. Monitoring kinematic changes with fatigue in running using body-worn sensors.
Strohrmann C; Harms H; Kappeler-Setz C; Tröster G
IEEE Trans Inf Technol Biomed; 2012 Sep; 16(5):983-90. PubMed ID: 22677321
[TBL] [Abstract][Full Text] [Related]
18. 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. PubMed ID: 24393233
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment.
Lemaire ED; Tundo MD; Baddour N
J Vis Exp; 2015 Dec; (106):e53004. PubMed ID: 26710275
[TBL] [Abstract][Full Text] [Related]
20. A lightweight hierarchical activity recognition framework using smartphone sensors.
Han M; Bang JH; Nugent C; McClean S; Lee S
Sensors (Basel); 2014 Sep; 14(9):16181-95. PubMed ID: 25184486
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
