Yoshioka, N.; Takeuchi, H.; Shu, Y.; Okamatsu, T.; Araki, N.; Kamakura, Y.; Ohsuga, M.
Combined Method Comprising Low Burden Physiological Measurements with Dry Electrodes and Machine Learning for Classification of Visually Induced Motion Sickness in Remote-Controlled Excavator. Sensors 2024, 24, 6465.
https://doi.org/10.3390/s24196465
AMA Style
Yoshioka N, Takeuchi H, Shu Y, Okamatsu T, Araki N, Kamakura Y, Ohsuga M.
Combined Method Comprising Low Burden Physiological Measurements with Dry Electrodes and Machine Learning for Classification of Visually Induced Motion Sickness in Remote-Controlled Excavator. Sensors. 2024; 24(19):6465.
https://doi.org/10.3390/s24196465
Chicago/Turabian Style
Yoshioka, Naohito, Hiroki Takeuchi, Yuzhuo Shu, Taro Okamatsu, Nobuyuki Araki, Yoshiyuki Kamakura, and Mieko Ohsuga.
2024. "Combined Method Comprising Low Burden Physiological Measurements with Dry Electrodes and Machine Learning for Classification of Visually Induced Motion Sickness in Remote-Controlled Excavator" Sensors 24, no. 19: 6465.
https://doi.org/10.3390/s24196465
APA Style
Yoshioka, N., Takeuchi, H., Shu, Y., Okamatsu, T., Araki, N., Kamakura, Y., & Ohsuga, M.
(2024). Combined Method Comprising Low Burden Physiological Measurements with Dry Electrodes and Machine Learning for Classification of Visually Induced Motion Sickness in Remote-Controlled Excavator. Sensors, 24(19), 6465.
https://doi.org/10.3390/s24196465
