Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tushar Chouhan"'
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2023)
IntroductionFacial emotion recognition (FER) requires the integration of multi-dimensional information across various brain regions. Autistic individuals commonly experience difficulties in FER, a phenomenon often attributed to differences in brain c
Externí odkaz:
https://doaj.org/article/f4bac08e5d83448e91071fe525dcf4e9
Autor:
Neethu Robinson, Tushar Chouhan, Ernest Mihelj, Paulina Kratka, Frédéric Debraine, Nicole Wenderoth, Cuntai Guan, Rea Lehner
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Several studies in the recent past have demonstrated how Brain Computer Interface (BCI) technology can uncover the neural mechanisms underlying various tasks and translate them into control commands. While a multitude of studies have demonstrated the
Externí odkaz:
https://doaj.org/article/0d61e71e67a843e7a559b79260ec1cf4
Autor:
Neethu, Robinson, Tushar, Chouhan, Ernest, Mihelj, Paulina, Kratka, Frédéric, Debraine, Nicole, Wenderoth, Cuntai, Guan, Rea, Lehner
Publikováno v:
Frontiers in Human Neuroscience
Several studies in the recent past have demonstrated how Brain Computer Interface (BCI) technology can uncover the neural mechanisms underlying various tasks and translate them into control commands. While a multitude of studies have demonstrated the
Autor:
Quan Xu, Han Wang, Cuntai Guan, Yuhao Lu, Tushar Chouhan, Prafful Golani, Bijun Tang, Zheng Liu, Jiadong Zhou, Manzhang Xu
Synthesis of materials with minimum number of trials is of paramount importance towards the acceleration of advanced materials development. The enormous complexity involved in existing multi-variable synthesis methods leads to high uncertainty, numer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bc8e4c564a97ad364fbb4ef04244d51
https://hdl.handle.net/10356/146742
https://hdl.handle.net/10356/146742
Publikováno v:
Current Opinion in Biomedical Engineering. 20:100354
Neuroengineering research over the last two decades has demonstrated promising evidence on the use of brain-computer interface (BCI) to enhance functional recovery and independence in individuals with motor impairments. By translating brain activity,
Publikováno v:
Journal of neural engineering. 15(6)
Objective. Brain signals can be used to extract relevant features to decode various limb movement parameters such as the direction of upper limb movements. Amplitude based feature extraction techniques have been used to study such motor activity of u
Publikováno v:
SMC
Phase synchronies are often used to study relationships between different parts of the brain and to identify regions that interact in a coordinated manner for a certain task. In this paper, we propose a wavelet reconstruction and phase-locking-based
Publikováno v:
SMC
Brain-Computer Interface (BCI) is an alternative communication and control channel between brain and computer which finds applications in neuroprosthetics, brain wave controlled computer games, etc. This paper presents a comparative study on the effe
Publikováno v:
2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS).