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Journal Abstract Search
246 related items for PubMed ID: 34644610
1. American society of biomechanics early career achievement award 2020: Toward portable and modular biomechanics labs: How video and IMU fusion will change gait analysis. Halilaj E, Shin S, Rapp E, Xiang D. J Biomech; 2021 Dec 02; 129():110650. PubMed ID: 34644610 [Abstract] [Full Text] [Related]
2. Real-time conversion of inertial measurement unit data to ankle joint angles using deep neural networks. Senanayake D, Halgamuge S, Ackland DC. J Biomech; 2021 Aug 26; 125():110552. PubMed ID: 34237661 [Abstract] [Full Text] [Related]
3. Towards Wearable and Portable Spine Motion Analysis Through Dynamic Optimization of Smartphone Videos and IMU Data. Wang W, Peng Y, Sun Y, Wang J, Li G. IEEE J Biomed Health Inform; 2024 Oct 26; 28(10):5929-5940. PubMed ID: 38923475 [Abstract] [Full Text] [Related]
4. BioMAT: An Open-Source Biomechanics Multi-Activity Transformer for Joint Kinematic Predictions Using Wearable Sensors. Sharifi-Renani M, Mahoor MH, Clary CW. Sensors (Basel); 2023 Jun 21; 23(13):. PubMed ID: 37447628 [Abstract] [Full Text] [Related]
5. Estimation of kinematics from inertial measurement units using a combined deep learning and optimization framework. Rapp E, Shin S, Thomsen W, Ferber R, Halilaj E. J Biomech; 2021 Feb 12; 116():110229. PubMed ID: 33485143 [Abstract] [Full Text] [Related]
6. Fusion of video and inertial sensing data via dynamic optimization of a biomechanical model. Pearl O, Shin S, Godura A, Bergbreiter S, Halilaj E. J Biomech; 2023 Jun 12; 155():111617. PubMed ID: 37220709 [Abstract] [Full Text] [Related]
7. Fusion Poser: 3D Human Pose Estimation Using Sparse IMUs and Head Trackers in Real Time. Kim M, Lee S. Sensors (Basel); 2022 Jun 27; 22(13):. PubMed ID: 35808342 [Abstract] [Full Text] [Related]
9. Three-Dimensional Human Pose Estimation from Sparse IMUs through Temporal Encoder and Regression Decoder. Liao X, Dong J, Song K, Xiao J. Sensors (Basel); 2023 Mar 28; 23(7):. PubMed ID: 37050604 [Abstract] [Full Text] [Related]
14. Estimation of Ankle Joint Power during Walking Using Two Inertial Sensors. Jiang X, Gholami M, Khoshnam M, Eng JJ, Menon C. Sensors (Basel); 2019 Jun 21; 19(12):. PubMed ID: 31234451 [Abstract] [Full Text] [Related]
15. Accurate Long-Term Multiple People Tracking using Video and Body-Worn IMUs. Henschel R, Von Marcard T, Rosenhahn B. IEEE Trans Image Process; 2020 Aug 13; PP():. PubMed ID: 32790627 [Abstract] [Full Text] [Related]
16. Concurrent assessment of gait kinematics using marker-based and markerless motion capture. Kanko RM, Laende EK, Davis EM, Selbie WS, Deluzio KJ. J Biomech; 2021 Oct 11; 127():110665. PubMed ID: 34380101 [Abstract] [Full Text] [Related]
17. IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning. Zimmermann T, Taetz B, Bleser G. Sensors (Basel); 2018 Jan 19; 18(1):. PubMed ID: 29351262 [Abstract] [Full Text] [Related]
18. Reconstructing 3D human pose and shape from a single image and sparse IMUs. Liao X, Zhuang J, Liu Z, Dong J, Song K, Xiao J. PeerJ Comput Sci; 2023 Jan 19; 9():e1401. PubMed ID: 37346531 [Abstract] [Full Text] [Related]
19. 3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement units. Mohammadi Moghadam S, Ortega Auriol P, Yeung T, Choisne J. Front Bioeng Biotechnol; 2024 Jan 19; 12():1372669. PubMed ID: 38572359 [Abstract] [Full Text] [Related]
20. Comparing the accuracy of open-source pose estimation methods for measuring gait kinematics. Washabaugh EP, Shanmugam TA, Ranganathan R, Krishnan C. Gait Posture; 2022 Sep 19; 97():188-195. PubMed ID: 35988434 [Abstract] [Full Text] [Related] Page: [Next] [New Search]