APA (7th ed.) Citation

Zhu, B., Zhang, D., Chu, Y., Gu, Y., & Zhao, X. (2022, January). SeNic: An Open Source Dataset for sEMG-Based Gesture Recognition in Non-Ideal Conditions. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Chicago Style (17th ed.) Citation

Zhu, Bo, Daohui Zhang, Yaqi Chu, Yalun Gu, and Xingang Zhao. "SeNic: An Open Source Dataset for SEMG-Based Gesture Recognition in Non-Ideal Conditions." IEEE Transactions on Neural Systems and Rehabilitation Engineering Jan. 2022.

MLA (9th ed.) Citation

Zhu, Bo, et al. "SeNic: An Open Source Dataset for SEMG-Based Gesture Recognition in Non-Ideal Conditions." IEEE Transactions on Neural Systems and Rehabilitation Engineering, Jan. 2022.