no code implementations • 16 Aug 2023 • Sidharth Pancholi, Amita Giri
Our model demonstrates strong correlations between predicted and actual hand movements, with mean Pearson correlation coefficients of 0. 92 ($\pm$0. 015), 0. 93 ($\pm$0. 019), and 0. 83 ($\pm$0. 018) for the X, Y, and Z dimensions.
1 code implementation • 9 Jun 2023 • Amita Giri, John C. Mosher, Amir Adler, Dimitrios Pantazis
Overall, when tuned for optimal selection of thresholds, our method offers researchers a precise tool to estimate the true number of active brain sources and accurately model brain function.
no code implementations • 8 Nov 2021 • Gary P. T. Choi, Amita Giri, Lalan Kumar
In this work, we propose adaptive area-preserving parameterization methods for simply-connected open and closed surfaces with the target of the parameterization being a spherical cap.
no code implementations • 25 Mar 2021 • Sidharth Pancholi, Amita Giri, Anant Jain, Lalan Kumar, Sitikantha Roy
The ability to reconstruct the kinematic parameters of hand movement using non-invasive electroencephalography (EEG) is essential for strength and endurance augmentation using exosuit/exoskeleton.