78 citations · 118 across the 7 of their papers we have counts for
7 papers
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect
Sidharth Pancholi, Amita Giri
Brain-computer interface (BCI) technology enables direct communication between the brain and external devices, allowing individuals to control their environment using brain signals…
Novel Time Domain Based Upper-Limb Prosthesis Control using Incremental Learning Approach
Sidharth Pancholi, Amit M. Joshi Deepak Joshi, Bradly S. Duerstock
The upper limb of the body is a vital for various kind of activities for human. The complete or partial loss of the upper limb would lead to a significant impact on daily activitie…
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis
Pranali Kokate, Sidharth Pancholi, Amit M. Joshi
The Brain-Computer Interface system is a profoundly developing area of experimentation for Motor activities which plays vital role in decoding cognitive activities. Classification…
A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
Uddipan Mukherjee, Sidharth Pancholi
Heart disease is the most common reason for human mortality that causes almost one-third of deaths throughout the world. Detecting the disease early increases the chances of surviv…
A Robust and Accurate Deep Learning based Pattern Recognition Framework for Upper Limb Prosthesis using sEMG
Sidharth Pancholi, Amit M. Joshi, Deepak Joshi
In EMG based pattern recognition (EMG-PR), deep learning-based techniques have become more prominent for their self-regulating capability to extract discriminant features from larg…
T-BERT -- Model for Sentiment Analysis of Micro-blogs Integrating Topic Model and BERT
Sarojadevi Palani, Prabhu Rajagopal, Sidharth Pancholi
Sentiment analysis (SA) has become an extensive research area in recent years impacting diverse fields including ecommerce, consumer business, and politics, driven by increasing ad…
Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal
Sidharth Pancholi, Amita Giri, Anant Jain +2
The ability to reconstruct the kinematic parameters of hand movement using non-invasive electroencephalography (EEG) is essential for strength and endurance augmentation using exos…