The Classification of Badminton Strokes: A Feature Importance Investigation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8498-5_35
Reference8 articles.
1. Steels, T., Van Herbruggen, B., Fontaine, J., De Pessemier, T., Plets, D., De Poorter, E.: Badminton activity recognition using accelerometer data. Sensors (2020). https://doi.org/10.3390/s20174685
2. Anik, A.I., Hassan, M., Mahmud, H., Hasan, K.: Activity recognition of a badminton game through accelerometer and gyroscope. In: 2016 19th International Conference on Computer and Information Technology, pp. 213–217 (2016). https://doi.org/10.1109/ICCITECHN.2016.7860197
3. Wang, Z., Guo, M., Zhao, C.: Badminton stroke recognition based on body sensor networks. IEEE Trans. Human-Machine Syst. 46, 769–775 (2016). https://doi.org/10.1109/THMS.2016.2571265
4. Ooi, J.H., Gouwanda, D.: Badminton stroke identification using wireless inertial sensor and neural network. Proc. Inst. Mech. Eng. Part P J. Sport. Eng. Technol., 17543371211048328 (2021).
5. Ibrahim, M.A.R., Shapiee, M.N.A., Abdullah, M.A., Razman, M.A.M., Musa, R.M., Abdul Majeed, A.P.P.: The classification of skateboarding trick manoeuvres: a frequency-domain evaluation. In: Lecture Notes in Electrical Engineering, pp. 183–194. Springer (2020). https://doi.org/10.1007/978-981-15-6025-5_17
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