Development of EEG-Based System to Identify Student Learning Attention Ability
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2406-3_48
Reference13 articles.
1. Liu NH, Chiang CY, Chu HC (2013) Recognizing the degree of human attention using EEG signal from mobile sensors. Sensors (Switzerland) 13(8):10273–10286
2. Sałabun W (2014) Przetwarzanie i analiza widmowa sygnałów EEG przy zastosowaniu urza{ogonek}dzenia MindWave MW001. Prz. Elektrotechniczny 90(2):169–173
3. Sezer A, İnel Y, Seçkin AÇ, Uluçınar U (2015) An investigation of university students’ attention levels in real classroom settings with Neurosky’s MindWave mobile (EEG) device 2. Turkish Online J Educ Technol 2015:61–69
4. Koelstra S, Yazdani A, Soleymani M, Christian M (2013) Single trial classification of EEG and peripheral physiological signals for recognition of emotions induced by music videos, pp 89–100
5. Rashid M et al (2020) Analysis of EEG features for brain computer interface application. Lect Notes Electr Eng 632:529–540
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