27 citations · 76 across the 16 of their papers we have counts for
5 papers · 1 filter
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…