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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

121 related items for PubMed ID: 25889811

  • 1. Identifying typical physical activity on smartphone with varying positions and orientations.
    Miao F, He Y, Liu J, Li Y, Ayoola I.
    Biomed Eng Online; 2015 Apr 13; 14():32. PubMed ID: 25889811
    [Abstract] [Full Text] [Related]

  • 2. Better physical activity classification using smartphone acceleration sensor.
    Arif M, Bilal M, Kattan A, Ahamed SI.
    J Med Syst; 2014 Sep 13; 38(9):95. PubMed ID: 25000988
    [Abstract] [Full Text] [Related]

  • 3. Validity of smartphone pedometer applications.
    Orr K, Howe HS, Omran J, Smith KA, Palmateer TM, Ma AE, Faulkner G.
    BMC Res Notes; 2015 Nov 30; 8():733. PubMed ID: 26621351
    [Abstract] [Full Text] [Related]

  • 4. Hand, belt, pocket or bag: Practical activity tracking with mobile phones.
    Antos SA, Albert MV, Kording KP.
    J Neurosci Methods; 2014 Jul 15; 231():22-30. PubMed ID: 24091138
    [Abstract] [Full Text] [Related]

  • 5. Classification of Human Daily Activities Using Ensemble Methods Based on Smartphone Inertial Sensors.
    Ku Abd Rahim KN, Elamvazuthi I, Izhar LI, Capi G.
    Sensors (Basel); 2018 Nov 26; 18(12):. PubMed ID: 30486242
    [Abstract] [Full Text] [Related]

  • 6. Classification accuracies of physical activities using smartphone motion sensors.
    Wu W, Dasgupta S, Ramirez EE, Peterson C, Norman GJ.
    J Med Internet Res; 2012 Oct 05; 14(5):e130. PubMed ID: 23041431
    [Abstract] [Full Text] [Related]

  • 7. Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors.
    Shoaib M, Bosch S, Incel OD, Scholten H, Havinga PJ.
    Sensors (Basel); 2016 Mar 24; 16(4):426. PubMed ID: 27023543
    [Abstract] [Full Text] [Related]

  • 8. Human Physical Activity Recognition Using Smartphone Sensors.
    Voicu RA, Dobre C, Bajenaru L, Ciobanu RI.
    Sensors (Basel); 2019 Jan 23; 19(3):. PubMed ID: 30678039
    [Abstract] [Full Text] [Related]

  • 9. Human Activity Recognition from Smart-Phone Sensor Data using a Multi-Class Ensemble Learning in Home Monitoring.
    Ghose S, Mitra J, Karunanithi M, Dowling J.
    Stud Health Technol Inform; 2015 Jan 23; 214():62-7. PubMed ID: 26210419
    [Abstract] [Full Text] [Related]

  • 10. Registration and Analysis of Acceleration Data to Recognize Physical Activity.
    Kołodziej M, Majkowski A, Tarnowski P, Rak RJ, Gebert D, Sawicki D.
    J Healthc Eng; 2019 Jan 23; 2019():9497151. PubMed ID: 30944719
    [Abstract] [Full Text] [Related]

  • 11. Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors.
    Moreira D, Barandas M, Rocha T, Alves P, Santos R, Leonardo R, Vieira P, Gamboa H.
    Sensors (Basel); 2021 Sep 21; 21(18):. PubMed ID: 34577526
    [Abstract] [Full Text] [Related]

  • 12. Development of an automated physical activity classification application for mobile phones.
    Xia Y, Cheung V, Garcia E, Ding H, Karunaithi M.
    Stud Health Technol Inform; 2011 Sep 21; 168():188-94. PubMed ID: 21893928
    [Abstract] [Full Text] [Related]

  • 13. Validity and Reliability of Smartphone Applications for the Assessment of Walking and Running in Normal-weight and Overweight/Obese Young Adults.
    Konharn K, Eungpinichpong W, Promdee K, Sangpara P, Nongharnpitak S, Malila W, Karawa J.
    J Phys Act Health; 2016 Dec 21; 13(12):1333-1340. PubMed ID: 27633618
    [Abstract] [Full Text] [Related]

  • 14. A comparative study of pattern recognition classifiers to predict physical activities using smartphones and wearable body sensors.
    Kouris I, Koutsouris D.
    Technol Health Care; 2012 Dec 21; 20(4):263-75. PubMed ID: 23000559
    [Abstract] [Full Text] [Related]

  • 15. Activity recognition with smartphone support.
    Guiry JJ, van de Ven P, Nelson J, Warmerdam L, Riper H.
    Med Eng Phys; 2014 Jun 21; 36(6):670-5. PubMed ID: 24641812
    [Abstract] [Full Text] [Related]

  • 16. REAL-Time Smartphone Activity Classification Using Inertial Sensors-Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking.
    Zhuo S, Sherlock L, Dobbie G, Koh YS, Russello G, Lottridge D.
    Sensors (Basel); 2020 Jan 24; 20(3):. PubMed ID: 31991636
    [Abstract] [Full Text] [Related]

  • 17. 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 24; 35(11):2269-86. PubMed ID: 25340659
    [Abstract] [Full Text] [Related]

  • 18. Beyond where to how: a machine learning approach for sensing mobility contexts using smartphone sensors.
    Guinness RE.
    Sensors (Basel); 2015 Apr 28; 15(5):9962-85. PubMed ID: 25928060
    [Abstract] [Full Text] [Related]

  • 19. Analyzing the Effectiveness and Contribution of Each Axis of Tri-Axial Accelerometer Sensor for Accurate Activity Recognition.
    Javed AR, Sarwar MU, Khan S, Iwendi C, Mittal M, Kumar N.
    Sensors (Basel); 2020 Apr 14; 20(8):. PubMed ID: 32295298
    [Abstract] [Full Text] [Related]

  • 20. Physical activity recognition based on rotated acceleration data using quaternion in sedentary behavior: a preliminary study.
    Shin YE, Choi WH, Shin TM.
    Annu Int Conf IEEE Eng Med Biol Soc; 2014 Apr 14; 2014():4976-8. PubMed ID: 25571109
    [Abstract] [Full Text] [Related]

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