BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 related articles for article (PubMed ID: 33066452)

  • 1. Development of Sign Language Motion Recognition System for Hearing-Impaired People Using Electromyography Signal.
    Tateno S; Liu H; Ou J
    Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33066452
    [TBL] [Abstract][Full Text] [Related]  

  • 2. American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach.
    Chong TW; Lee BG
    Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30347776
    [TBL] [Abstract][Full Text] [Related]  

  • 3. American Sign Language Translation Using Wearable Inertial and Electromyography Sensors for Tracking Hand Movements and Facial Expressions.
    Gu Y; Zheng C; Todoh M; Zha F
    Front Neurosci; 2022; 16():962141. PubMed ID: 35937881
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sensor Fusion of Motion-Based Sign Language Interpretation with Deep Learning.
    Lee BG; Chong TW; Chung WY
    Sensors (Basel); 2020 Nov; 20(21):. PubMed ID: 33147891
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors.
    Cheng J; Chen X; Liu A; Peng H
    Sensors (Basel); 2015 Sep; 15(9):23303-24. PubMed ID: 26389907
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework.
    Wei S; Chen X; Yang X; Cao S; Zhang X
    Sensors (Basel); 2016 Apr; 16(4):. PubMed ID: 27104534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Chinese sign language recognition based on surface electromyography and motion information.
    Li W; Luo Z; Li W; Xi X
    PLoS One; 2023; 18(12):e0295398. PubMed ID: 38060609
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Novel Magnetometer Array-based wearable system for ASL gesture recognition.
    Jonna P; Rao M
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082804
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Robust Identification System for Spanish Sign Language Based on Three-Dimensional Frame Information.
    Galván-Ruiz J; Travieso-González CM; Pinan-Roescher A; Alonso-Hernández JB
    Sensors (Basel); 2023 Jan; 23(1):. PubMed ID: 36617080
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sign Language Recognition Using the Electromyographic Signal: A Systematic Literature Review.
    Ben Haj Amor A; El Ghoul O; Jemni M
    Sensors (Basel); 2023 Oct; 23(19):. PubMed ID: 37837173
    [TBL] [Abstract][Full Text] [Related]  

  • 11. IRDC-Net: An Inception Network with a Residual Module and Dilated Convolution for Sign Language Recognition Based on Surface Electromyography.
    Wang X; Tang L; Zheng Q; Yang X; Lu Z
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447625
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Finger language recognition based on ensemble artificial neural network learning using armband EMG sensors.
    Kim S; Kim J; Ahn S; Kim Y
    Technol Health Care; 2018; 26(S1):249-258. PubMed ID: 29710753
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Kinect-Based Sign Language Hand Gesture Recognition System for Hearing- and Speech-Impaired: A Pilot Study of Pakistani Sign Language.
    Halim Z; Abbas G
    Assist Technol; 2015; 27(1):34-43. PubMed ID: 26132224
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Random Forest-Based Recognition of Isolated Sign Language Subwords Using Data from Accelerometers and Surface Electromyographic Sensors.
    Su R; Chen X; Cao S; Zhang X
    Sensors (Basel); 2016 Jan; 16(1):. PubMed ID: 26784195
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hypertuned Deep Convolutional Neural Network for Sign Language Recognition.
    Mannan A; Abbasi A; Javed AR; Ahsan A; Gadekallu TR; Xin Q
    Comput Intell Neurosci; 2022; 2022():1450822. PubMed ID: 35535197
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Wearable System for Recognizing American Sign Language in Real-Time Using IMU and Surface EMG Sensors.
    Wu J; Sun L; Jafari R
    IEEE J Biomed Health Inform; 2016 Sep; 20(5):1281-1290. PubMed ID: 27576269
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of surface EMG features for the recognition of American Sign Language gestures.
    Kosmidou VE; Hadjileontiadis LJ; Panas SM
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():6197-200. PubMed ID: 17946747
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Attention-Enhanced Multi-Scale and Dual Sign Language Recognition Network Based on a Graph Convolution Network.
    Meng L; Li R
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33562715
    [TBL] [Abstract][Full Text] [Related]  

  • 19. American Sign Language Words Recognition of Skeletal Videos Using Processed Video Driven Multi-Stacked Deep LSTM.
    Abdullahi SB; Chamnongthai K
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214309
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model.
    Noor TH; Noor A; Alharbi AF; Faisal A; Alrashidi R; Alsaedi AS; Alharbi G; Alsanoosy T; Alsaeedi A
    Sensors (Basel); 2024 Jun; 24(11):. PubMed ID: 38894473
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.