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 *

120 related articles for article (PubMed ID: 30696100)

  • 1. A Hierarchical Deep Fusion Framework for Egocentric Activity Recognition Using a Wearable Hybrid Sensor System.
    Yu H; Pan G; Pan M; Li C; Jia W; Zhang L; Sun M
    Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30696100
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A multisource fusion framework driven by user-defined knowledge for egocentric activity recognition.
    Yu H; Jia W; Li Z; Gong F; Yuan D; Zhang H; Sun M
    EURASIP J Adv Signal Process; 2019; 2019(1):14. PubMed ID: 30881444
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning.
    Uddin MZ; Soylu A
    Sci Rep; 2021 Aug; 11(1):16455. PubMed ID: 34385552
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fusion of Appearance and Motion Features for Daily Activity Recognition from Egocentric Perspective.
    Lye MH; AlDahoul N; Abdul Karim H
    Sensors (Basel); 2023 Jul; 23(15):. PubMed ID: 37571588
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Self-Attention-Based Deep Convolution LSTM Framework for Sensor-Based Badminton Activity Recognition.
    Deng J; Zhang S; Ma J
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896468
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modeling and Fault Detection of Brushless Direct Current Motor by Deep Learning Sensor Data Fusion.
    Suawa P; Meisel T; Jongmanns M; Huebner M; Reichenbach M
    Sensors (Basel); 2022 May; 22(9):. PubMed ID: 35591209
    [TBL] [Abstract][Full Text] [Related]  

  • 7. LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes.
    Mekruksavanich S; Jitpattanakul A
    Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33652697
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition.
    Ordóñez FJ; Roggen D
    Sensors (Basel); 2016 Jan; 16(1):. PubMed ID: 26797612
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning.
    Chung S; Lim J; Noh KJ; Kim G; Jeong H
    Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30974845
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Light-Weight Artificial Neural Network for Recognition of Activities of Daily Living.
    Mohamed SA; Martinez-Hernandez U
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447703
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network.
    Steven Eyobu O; Han DS
    Sensors (Basel); 2018 Aug; 18(9):. PubMed ID: 30200377
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Recognition of Activities of Daily Living with Egocentric Vision: A Review.
    Nguyen TH; Nebel JC; Florez-Revuelta F
    Sensors (Basel); 2016 Jan; 16(1):. PubMed ID: 26751452
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care.
    Zhu H; Chen H; Brown R
    J Biomed Inform; 2018 Aug; 84():148-158. PubMed ID: 30004019
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multimodal Sensor Motion Intention Recognition Based on Three-Dimensional Convolutional Neural Network Algorithm.
    Wen M; Wang Y
    Comput Intell Neurosci; 2021; 2021():5690868. PubMed ID: 34188674
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Inertial Data-Based AI Approaches for ADL and Fall Recognition.
    Martins LM; Ribeiro NF; Soares F; Santos CP
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684649
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Taekwondo motion image recognition model based on hybrid neural network algorithm for wearable sensor of Internet of Things.
    Lu X
    Sci Rep; 2023 Aug; 13(1):13097. PubMed ID: 37567933
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data.
    Nef T; Urwyler P; Büchler M; Tarnanas I; Stucki R; Cazzoli D; Müri R; Mosimann U
    Sensors (Basel); 2015 May; 15(5):11725-40. PubMed ID: 26007727
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Device-Free Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Long Short-Term Memory Neural Network.
    Yin C; Chen J; Miao X; Jiang H; Chen D
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34065183
    [TBL] [Abstract][Full Text] [Related]  

  • 19. IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion.
    Dehzangi O; Taherisadr M; ChangalVala R
    Sensors (Basel); 2017 Nov; 17(12):. PubMed ID: 29186887
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors.
    Yurtman A; Barshan B
    Sensors (Basel); 2017 Aug; 17(8):. PubMed ID: 28792481
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.