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Pubmed for Handhelds
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Journal Abstract Search
683 related items for PubMed ID: 32164287
1. Pedestrian Navigation Method Based on Machine Learning and Gait Feature Assistance. Zhou Z, Yang S, Ni Z, Qian W, Gu C, Cao Z. Sensors (Basel); 2020 Mar 10; 20(5):. PubMed ID: 32164287 [Abstract] [Full Text] [Related]
4. A Method for Autonomous Multi-Motion Modes Recognition and Navigation Optimization for Indoor Pedestrian. Wang Z, Xiong Z, Xing L, Ding Y, Sun Y. Sensors (Basel); 2022 Jul 03; 22(13):. PubMed ID: 35808517 [Abstract] [Full Text] [Related]
5. Research on an Improved Method for Foot-Mounted Inertial/Magnetometer Pedestrian-Positioning Based on the Adaptive Gradient Descent Algorithm. Wang Q, Yin J, Noureldin A, Iqbal U. Sensors (Basel); 2018 Nov 23; 18(12):. PubMed ID: 30477156 [Abstract] [Full Text] [Related]
7. Pedestrian Navigation Using Foot-Mounted Inertial Sensor and LIDAR. Pham DD, Suh YS. Sensors (Basel); 2016 Jan 19; 16(1):. PubMed ID: 26797619 [Abstract] [Full Text] [Related]
8. Kinematic Model-Based Pedestrian Dead Reckoning for Heading Correction and Lower Body Motion Tracking. Lee MS, Ju H, Song JW, Park CG. Sensors (Basel); 2015 Nov 06; 15(11):28129-53. PubMed ID: 26561814 [Abstract] [Full Text] [Related]
9. Deep Learning-Based Human Activity Real-Time Recognition for Pedestrian Navigation. Ye J, Li X, Zhang X, Zhang Q, Chen W. Sensors (Basel); 2020 Apr 30; 20(9):. PubMed ID: 32366055 [Abstract] [Full Text] [Related]
12. Pedestrian navigation based on a waist-worn inertial sensor. Alvarez JC, Alvarez D, López A, González RC. Sensors (Basel); 2012 Apr 30; 12(8):10536-49. PubMed ID: 23112614 [Abstract] [Full Text] [Related]
13. A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors. Liu K, Liu Y, Ji S, Gao C, Zhang S, Fu J. Sensors (Basel); 2023 Jun 26; 23(13):. PubMed ID: 37447755 [Abstract] [Full Text] [Related]
14. A Novel Step Length Estimator Based on Foot-Mounted MEMS Sensors. Zhu Z, Wang S. Sensors (Basel); 2018 Dec 15; 18(12):. PubMed ID: 30558332 [Abstract] [Full Text] [Related]