APA (7th ed.) Citation

Hwang, S., Kwon, N., Lee, D., Kim, J., Yang, S., Youn, I., . . . Han, S. (2025). A Multimodal Fatigue Detection System Using sEMG and IMU Signals with a Hybrid CNN-LSTM-Attention Model. Sensors (Basel, Switzerland), 25(11), 3309. https://doi.org/10.3390/s25113309

Chicago Style (17th ed.) Citation

Hwang, Soree, Nayeon Kwon, Dongwon Lee, Jongman Kim, Sumin Yang, Inchan Youn, Hyuk-June Moon, Joon-Kyung Sung, and Sungmin Han. "A Multimodal Fatigue Detection System Using SEMG and IMU Signals with a Hybrid CNN-LSTM-Attention Model." Sensors (Basel, Switzerland) 25, no. 11 (2025): 3309. https://doi.org/10.3390/s25113309.

MLA (9th ed.) Citation

Hwang, Soree, et al. "A Multimodal Fatigue Detection System Using SEMG and IMU Signals with a Hybrid CNN-LSTM-Attention Model." Sensors (Basel, Switzerland), vol. 25, no. 11, 2025, p. 3309, https://doi.org/10.3390/s25113309.