These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 21904542)

  • 1. Accelerometry-based classification of human activities using Markov modeling.
    Mannini A; Sabatini AM
    Comput Intell Neurosci; 2011; 2011():647858. PubMed ID: 21904542
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning methods for classifying human physical activity from on-body accelerometers.
    Mannini A; Sabatini AM
    Sensors (Basel); 2010; 10(2):1154-75. PubMed ID: 22205862
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Physical Human Activity Recognition Using Wearable Sensors.
    Attal F; Mohammed S; Dedabrishvili M; Chamroukhi F; Oukhellou L; Amirat Y
    Sensors (Basel); 2015 Dec; 15(12):31314-38. PubMed ID: 26690450
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Real-time daily activity classification with wireless sensor networks using Hidden Markov Model.
    He J; Li H; Tan J
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3192-5. PubMed ID: 18002674
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Object trajectory-based activity classification and recognition using hidden Markov models.
    Bashir FI; Khokhar AA; Schonfeld D
    IEEE Trans Image Process; 2007 Jul; 16(7):1912-9. PubMed ID: 17605388
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identifying Free-Living Physical Activities Using Lab-Based Models with Wearable Accelerometers.
    Dutta A; Ma O; Toledo M; Pregonero AF; Ainsworth BE; Buman MP; Bliss DW
    Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30424512
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A semi-supervised Hidden Markov model-based activity monitoring system.
    Xu M; Zuo L; Iyengar S; Goldfain A; DelloStritto J
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():1794-7. PubMed ID: 22254676
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Image segmentation using hidden Markov Gauss mixture models.
    Pyun K; Lim J; Won CS; Gray RM
    IEEE Trans Image Process; 2007 Jul; 16(7):1902-11. PubMed ID: 17605387
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hidden Markov and Gaussian mixture models for automatic call classification.
    Brown JC; Smaragdis P
    J Acoust Soc Am; 2009 Jun; 125(6):EL221-4. PubMed ID: 19507925
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Human Activity Recognition Using Gaussian Mixture Hidden Conditional Random Fields.
    Siddiqi MH; Alruwaili M; Ali A; Alanazi S; Zeshan F
    Comput Intell Neurosci; 2019; 2019():8590560. PubMed ID: 31915429
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring.
    Yu S; Chen H; Brown RA
    IEEE J Biomed Health Inform; 2018 Nov; 22(6):1847-1853. PubMed ID: 29990227
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Long-term activity recognition from wristwatch accelerometer data.
    Garcia-Ceja E; Brena RF; Carrasco-Jimenez JC; Garrido L
    Sensors (Basel); 2014 Nov; 14(12):22500-24. PubMed ID: 25436652
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Multimodal physical activity recognition by fusing temporal and cepstral information.
    Li M; Rozgica V; Thatte G; Lee S; Emken A; Annavaram M; Mitra U; Spruijt-Metz D; Narayanan S
    IEEE Trans Neural Syst Rehabil Eng; 2010 Aug; 18(4):369-80. PubMed ID: 20699202
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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. PubMed ID: 16951454
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [A Gaussian mixture-hidden Markov model of human visual behavior].
    Liu H; Zheng X; Wang Y; Zhang Y; Liu K
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Jun; 38(3):512-519. PubMed ID: 34180197
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Maximum confidence hidden markov modeling for face recognition.
    Chien JT; Liao CP
    IEEE Trans Pattern Anal Mach Intell; 2008 Apr; 30(4):606-16. PubMed ID: 18276967
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses.
    Huang Y; Englehart KB; Hudgins B; Chan AD
    IEEE Trans Biomed Eng; 2005 Nov; 52(11):1801-11. PubMed ID: 16285383
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using respiratory signals for the recognition of human activities.
    Ramos-Garcia RI; Tiffany S; Sazonov E
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():173-176. PubMed ID: 28268307
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications.
    Karg M; Kulić D
    Methods Mol Biol; 2017; 1552():199-213. PubMed ID: 28224501
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.