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Deep learning algorithm-based wearable device in basketball motion dynamic analysis

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Plötz, T., & Guan, Y. (2018). Deep learning for human activity recognition in mobile computing. Computer, 51(5), 50-59.Search in Google Scholar

Randazzo, V., Ferretti, J., & Pasero, E. (2020). A Wearable Smart Device to Monitor Multiple Vital Parameters—VITAL ECG. Electronics, 9(2), 300.Search in Google Scholar

Lezhnina, I. A., Uvarov, A. A., Overchuk, K. V., et al. (2020). A Portable Wireless Cardiac Analyzer for Individual Use. Biomedical Engineering, 53(6), 392-396.Search in Google Scholar

Rakshit, M., & Das, S. (2018). An Efficient ECG Denoising Methodology Using Empirical Mode Decomposition and Adaptive Switching Mean Filter. Biomedical Signal Processing and Control, 40, 140-148.Search in Google Scholar

Berwal, D., C.R. V, Dewan, S., et al. (2019). Motion Artifact Removal in Ambulatory ECG Signal for Heart Rate Variability Analysis. IEEE Sensors Journal, 19(24), 12432-12442.Search in Google Scholar

Elumalai, G., & Ramakrishnan, R. (2021). Development of novel and efficient approach for analyzing and monitoring the movement parameters for javelin athletes based on internet of things. Journal of Ambient Intelligence and Humanized Computing, 12(5), 4663-4676.Search in Google Scholar

Pustišek, M., Kos, A., Kos, A., & Umek, A. (2020). Equilibrium: A Prototype of a Sensor-Based Balance Training and Monitoring System. Procedia Computer Science, 174, 340-346.Search in Google Scholar

Hunt, K. J., & Hunt, A. J. R. (2016). Feedback control of heart rate during outdoor running: A smartphone implementation. Biomedical Signal Processing and Control, 26, 90-97.Search in Google Scholar

Faulkner, M. S., & Michaliszyn, S. F. (2021). Exercise adherence in Hispanic adolescents with obesity or type 2 diabetes. Journal of Pediatric Nursing, 56, 7-12.Search in Google Scholar

Guo, X., Liu, J., & Chen, Y. (2020). When your wearables become your fitness mate. Smart Health, 16. DOI: https://doi.org/10.1016/j.smhl.2020.100114.Search in Google Scholar

Bramble, Dennis M., & Carrier, David R. (1983). Running and breathing in mammals. Science, 219(4582), 251-256.Search in Google Scholar

. Jung P. G., Oh S., Lim G., Kong K. (2014). A Mobile Motion Capture System Based on Inertial Sensors and Smart Shoes[J].Journal of Dynamic Systems, Measurement, and Control, 136(1).Search in Google Scholar

Casilari, E., Santoyo-Ramón, J. A., & Cano-García, J. M. (2017). Uma fall: A multisensor dataset for the research on automatic fall detection. Procedia Computer Science, 110, 32-39.Search in Google Scholar

Chen, Y., & Shen, C. (2017). Performance analysis of smartphone-sensor behavior for human activity recognition. IEEE Access, 5, 3095-3110.Search in Google Scholar

Bisio, I., Lavagetto, F., Marchese, M., et al. (2015). Smartphone-centric ambient assisted living platform for patients suffering from co-morbidities monitoring. IEEE Communications Magazine, 53(1), 34-41.Search in Google Scholar

Wang, A., Chen, G., Yang, J., et al. (2016). A comparative study on human activity recognition using inertial sensors in a smartphone. IEEE Sensors Journal, 16(11), 4566-4578.Search in Google Scholar

Su, X., Caceres, H., Tong, H., et al. (2016). Online travel mode identification using smartphones with battery saving considerations. IEEE Transactions on Intelligent Transportation Systems, 17(10), 2921-2934.Search in Google Scholar

Da Silva, F. G., & Galeazzo, E. (2013). Accelerometer based intelligent system for human movement recognition. 5th IEEE International Workshop on Advances in Sensors and Interfaces IWASI, 20-24.Search in Google Scholar

Zhou, Y., & Wang, M. (2020). Remote Sensing Image Classification Based on AlexNet Network Model. In International Conference on Frontier Computing: Theory, Technologies and Applications.Search in Google Scholar

Zhao, H., Wu, D., Su, H., Zheng, S., & Chen, J. (2020). Gradient-based conditional generative adversarial network for non-uniform blind deblurring via DenseResNet. Journal of Visual Communication and Image Representation, 74, 102921.Search in Google Scholar

eISSN:
2444-8656
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics