Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Longxin Yao"'
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6175 (2024)
The high-accuracy detection of multiple distinct human emotions is crucial for advancing affective computing, mental health diagnostics, and human–computer interaction. The integration of deep learning networks with entropy measures holds significa
Externí odkaz:
https://doaj.org/article/d4cf04e36c484eb3b6a6e2b28afb508b
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e22455- (2023)
Revealing system behavior from observed time series is a fundamental problem worthy of in-depth study and exploration, and has attracted extensive attention in a wide range of fields due to its wide application values. In this paper, we propose a nov
Externí odkaz:
https://doaj.org/article/b15ac6520b8a495ba3a479ba7cbf6657
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2636 (2024)
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this pap
Externí odkaz:
https://doaj.org/article/cea5a15a158c425b97400ce68bca85e4
Publikováno v:
Entropy, Vol 23, Iss 8, p 984 (2021)
It is well known that there may be significant individual differences in physiological signal patterns for emotional responses. Emotion recognition based on electroencephalogram (EEG) signals is still a challenging task in the context of developing a
Externí odkaz:
https://doaj.org/article/8bf1fa75e86445d9a545543f895fe3f1
Publikováno v:
Electronics; Volume 12; Issue 12; Pages: 2628
Artificial intelligence has revolutionized image and speech recognition, but the neural network fitting method has limitations. Neuromorphic chips that mimic biological neurons can better simulate the brain’s information processing mechanism. As th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::8b3e089291b3af9daa088e0c1e6daa8c
Publikováno v:
Electronics; Volume 11; Issue 12; Pages: 1913
In the field of integrated circuits, the computational cost has always been a crucial design metric. In recent years, with the continuous development in the field of computing, the requirements for computation have been growing rapidly. Reducing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f78a8c6dba4c4c4f1e07015dcff5c47
Autor:
Shixiong Chen, Moran Chen, Lu Zhang, Wanqing Wu, Qiquan Zhang, Lu Yun, Longxin Yao, Hao Liu, Hongcai Shen, Rong-Chao Peng, Mingjiang Wang, Ming Liu
Publikováno v:
Biomedical Signal Processing and Control. 70:102966
Available researches have confirmed that the target speech stream of human listener's selective attention in a multi-speaker scenario can be decoded from ongoing electroencephalography (EEG) signals. Due to its great potential application for the neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c42d0244d7278810c16e240b3299ba5
https://doi.org/10.1016/j.bspc.2021.102966
https://doi.org/10.1016/j.bspc.2021.102966