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Motion Recognition for Smart Sports Based on Wearable Inertial Sensors., , , , , и . BODYNETS, том 297 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 114-124. Springer, (2019)Motion Analysis of Deadlift for Trainers With Different Levels Based on Body Sensor Network., , , , , , и . IEEE Trans. Instrum. Meas., (2021)A selection framework of sensor combination feature subset for human motion phase segmentation., , , , , , и . Inf. Fusion, (2021)Swimming Stroke Phase Segmentation Based on Wearable Motion Capture Technique., , , , , и . IEEE Trans. Instrum. Meas., 69 (10): 8526-8538 (2020)Preclinical Assessment of Upper Limb Tremor in Parkinson's Disease with Deep Learning and Wearable Technology., , , and . SMC, page 4500-4505. IEEE, (2023)Modulation recognition method of satellite communication based on CLDNN model., , , , and . ISIE, page 1-6. IEEE, (2021)Foot Motion Measurement for Home based Rehabilitation Using Distributed Wearable Sensor., and . BODYNETS, ICST, (2015)Performance Characterization of Foot-Mounted Gait Analysis Systems and Related Systems., , , , , and . SMC, page 3883-3888. IEEE, (2019)IMU-based gait analysis for rehabilitation assessment of patients with gait disorders., , , , and . ICSAI, page 622-626. IEEE, (2017)Towards Body Sensor Network Based Gait Abnormality Evaluation for Stroke Survivors., , , , , and . BODYNETS, volume 297 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 103-113. Springer, (2019)