27 citations · 76 across the 16 of their papers we have counts for
9 papers · 1 filter
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface
Pradyot Anand, Anant Jain, Suriya Prakash Muthukrishnan +3
Electroencephalography (EEG)--based turn intention prediction for lower limb movement is important to build an efficient brain-computer interface (BCI) system. This study investiga…
ESI-GAL: EEG Source Imaging-based Trajectory Estimation for Grasp and Lift Task
Anant Jain, Lalan Kumar
Electroencephalogram (EEG) signals-based motor kinematics prediction (MKP) has been an active area of research to develop brain-computer interface (BCI) systems such as exosuits, p…
Predicting Multi-Joint Kinematics of the Upper Limb from EMG Signals Across Varied Loads with a Physics-Informed Neural Network
Rajnish Kumar, Suriya Prakash Muthukrishnan, Lalan Kumar +1
In this research, we present an innovative method known as a physics-informed neural network (PINN) model to predict multi-joint kinematics using electromyography (EMG) signals rec…
Insights into Age-Related Functional Brain Changes during Audiovisual Integration Tasks: A Comprehensive EEG Source-Based Analysis
Prerna Singh, Ayush Tripathi, Lalan Kumar +1
The seamless integration of visual and auditory information is a fundamental aspect of human cognition. Although age-related functional changes in Audio-Visual Integration (AVI) ha…
Brain Connectivity Features-based Age Group Classification using Temporal Asynchrony Audio-Visual Integration Task
Prerna Singh, Ayush Tripathi, Lalan Kumar +1
The process of integration of inputs from several sensory modalities in the human brain is referred to as multisensory integration. Age-related cognitive decline leads to a loss in…
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network
Anant Jain, Lalan Kumar
Motor kinematics decoding (MKD) using brain signal is essential to develop Brain-computer interface (BCI) system for rehabilitation or prosthesis devices. Surface electroencephalog…
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation
Manali Saini, Anant Jain, Lalan Kumar +3
Kinematic parameter (KP) estimation from early electroencephalogram (EEG) signals is essential for positive augmentation using wearable robot. However, work related to early estima…
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task
Anant Jain, Lalan Kumar
Brain-computer interface (BCI) systems can be utilized for kinematics decoding from scalp brain activation to control rehabilitation or power-augmenting devices. In this study, the…
PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp and Lift task
Anant Jain, Lalan Kumar
Kinematics decoding from brain activity helps in developing rehabilitation or power-augmenting brain-computer interface devices. Low-frequency signals recorded from non-invasive el…