27 citations · 76 across the 16 of their papers we have counts for
16 papers
Load-Aware Calibration of EMG-Driven Musculoskeletal Models for Accurate and Generalizable Joint Torque Estimation
Rajnish Kumar, Suriya Prakash Muthukrishnan, Lalan Kumar +1
Accurate EMG-driven musculoskeletal (MSK) modeling is critical for biomechanics, rehabilitation, and assistive technology. However, most models calibrate parameters under a single…
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…
sEMG-Driven Physics-Informed Gated Recurrent Networks for Modeling Upper Limb Multi-Joint Movement Dynamics
Rajnish Kumar, Anand Gupta, Suriya Prakash Muthukrishnan +2
Exoskeletons and rehabilitation systems have the potential to improve human strength and recovery by using adaptive human-machine interfaces. Achieving precise and responsive contr…
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…
NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-recorded Neural Signals
Ayush Tripathi, Aryan Gupta, A. P. Prathosh +2
Airwriting recognition is a task that involves identifying letters written in free space using finger movement. It is a special case of gesture recognition, where gestures correspo…
Modeling and parametric optimization of 3D tendon-sheath actuator system for upper limb soft exosuit
Amit Yadav, Nitesh Kumar, Shaurya Surana +7
This paper presents an analysis of parametric characterization of a motor driven tendon-sheath actuator system for use in upper limb augmentation for applications such as rehabilit…
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…
TripCEAiR: A Multi-Loss minimization approach for surface EMG based Airwriting Recognition
Ayush Tripathi, Prathosh AP, Suriya Prakash Muthukrishnan +1
Airwriting Recognition refers to the problem of identification of letters written in space with movement of the finger. It can be seen as a special case of dynamic gesture recognit…
SurfMyoAiR: A surface Electromyography based framework for Airwriting Recognition
Ayush Tripathi, Lalan Kumar, Prathosh A. P. +1
Airwriting Recognition is the task of identifying letters written in free space with finger movement. Electromyography (EMG) is a technique used to record electrical activity durin…
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…
ImAiR: Airwriting Recognition framework using Image Representation of IMU Signals
Ayush Tripathi, Arnab Kumar Mondal, Lalan Kumar +1
The problem of Airwriting Recognition is focused on identifying letters written by movement of finger in free space. It is a type of gesture recognition where the dictionary corres…