Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ngoc-Dau Mai"'
Publikováno v:
IEEE Access, Vol 11, Pp 47258-47271 (2023)
In this study, we propose an end-to-end emotion recognition system using an ear-electroencephalogram (EEG)-based on-chip device that is enabled using the machine-learning model. The system has an integrated device that gathers EEG signals from electr
Externí odkaz:
https://doaj.org/article/d7bbfe54a0c448d79257eea3883abfb9
Publikováno v:
Sensors, Vol 21, Iss 15, p 5135 (2021)
In this research, we develop an affective computing method based on machine learning for emotion recognition using a wireless protocol and a wearable electroencephalography (EEG) custom-designed device. The system collects EEG signals using an eight-
Externí odkaz:
https://doaj.org/article/0121861f1b8f47b4838eca664534945e
Publikováno v:
Intelligent Human Computer Interaction ISBN: 9783031271984
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f601c3316eba0f3b70da6a5b9ce02a95
https://doi.org/10.1007/978-3-031-27199-1_50
https://doi.org/10.1007/978-3-031-27199-1_50
Publikováno v:
2022 IEEE Sensors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59aae166a4c22a01aeac53dd6fdc8d3a
https://doi.org/10.1109/sensors52175.2022.9967142
https://doi.org/10.1109/sensors52175.2022.9967142
Publikováno v:
Intelligent Human Computer Interaction ISBN: 9783030984038
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c3eb8137072daa48e31a24ad9d9e5ba
https://doi.org/10.1007/978-3-030-98404-5_52
https://doi.org/10.1007/978-3-030-98404-5_52
Publikováno v:
2021 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS).
This paper aims to develop an EEG-based BCI system for emotion recognition utilizing a proposed 1D-CNN model. EEG signals are recorded in a non-invasive method, with eight dry electrodes placed on the scalp using a wireless and wearable custom-design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01835bea417bbb1bfeb6beb407456e1d
https://doi.org/10.1109/fleps51544.2021.9469818
https://doi.org/10.1109/fleps51544.2021.9469818
Publikováno v:
Intelligent Human Computer Interaction ISBN: 9783030684488
IHCI (1)
IHCI (1)
This study aims to develop a BCI system using Electroencephalogram (EEG) for lie detection. EEG signal is obtained in a non-invasive manner with eight electrodes mounted at designated positions on the scalp employing a hand-made design EEG headset. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d582f3b1b49988fc169247f2ed3d929
https://doi.org/10.1007/978-3-030-68449-5_11
https://doi.org/10.1007/978-3-030-68449-5_11