Extreme Learning Machines Classification of Kick Gesture-Reference-Cited by-同舟云学术

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Extreme Learning Machines Classification of Kick Gesture

Published:2020-09-12 Issue: Volume: Page:171-180
ISSN:2363-6084
Container-title:Proceedings of ELM2019
language:
Short-container-title:

Author:

Xu Pengfei,Liu Huaping,Wu Lijuan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-58989-9_18

Reference16 articles.

1. Koenig, B.: Global sales of self-driving cars forecast to exceed 33 million in 2040. Manuf. Eng. 160(2) (2018)

2. Green, Jr., R.E.: Non-contact ultrasonic techniques. Proc. Ultrason. Int. 42, 9–16 (2004)

3. Chawuthai, R., Sakdanuphab, R.: The analysis of a microwave sensor signal for detecting a kick gesture. In: 2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST) (2018)

4. Monreal, J., Eggers, T., Phan, M.-H.: Dielectric analysis of aqueous poly(l-glutamic acid) and poly-l-(glutamic acid4, Tyrosine1) solutions at high frequencies from capacitance measurements. J. Sci. Adv. Mater. Dev. 1(4), 521–526 (2016)

5. Wang, L.-F., Tang, J.Y.: Capacitance characterization of dielectric charging effect in RF MEMS capacitive switches under different humidity environments. In: Micro Electro Mechanical Systems (MEMS) (2012)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. UWB Radar Signal Kick Detection for Tailgate Unlocking Based on Spatio-Temporal Network;2024 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST);2024-05-01

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