Arshia Arif¹, M. Jawad Khan^1,2,*, Kashif Javed¹, Hasan Sajid^1,2, Saddaf Rubab¹, Noman Naseer³, Talha Irfan Khan⁴

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 535-555, 2022, DOI:10.32604/cmc.2022.018318 - 07 September 2021

Abstract For BCI systems, it is important to have an accurate and less complex architecture to control a device with enhanced accuracy. In this paper, a novel methodology for more accurate detection of the hemodynamic response has been developed using a multimodal brain-computer interface (BCI). An integrated classifier has been developed for achieving better classification accuracy using two modalities. An integrated EEG-fNIRS-based vector-phase analysis (VPA) has been conducted. An open-source dataset collected at the Technische Universität Berlin, including simultaneous electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals of 26 healthy participants during n-back tests, has been… More >

Wei Jiang^1,*, Takuya Hara¹, Motoharu Fujigaki¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 22-23, 2021, DOI:10.32604/icces.2021.08551

Abstract In this study, a sampling moire method in which parallel laser lines were generated in a camera using a diffraction grating was proposed. A green laser of line projection function, a diffraction grating and an industrial camera were used as an experimental device. Object images with laser line projection before and after displacement were taken by the camera. Displacements that calculated by a sampling moire method and a method of averaging center-ofgravity were be compared. Results show that the proposed method is more precision than method of averaging center-of-gravity. More >