Vidya Sagar Reddy Venna

Paper on classifying fine-grained ADLs using sEMG signals across different measurement conditions, presented in BIOSTEC (and available via ResearchGate).

Conference paper describing EMAHA-DB4, a multi-channel sEMG dataset for Activities of Daily Living (ADL) under varied measurement conditions; evaluates time/frequency/wavelet/eigenvalue features and compares classical ML models with a CNN-BiLSTM and DNN across aggregate and subject-wise scenarios.

Conference paper (EMBC 2024) analyzing how activity pace and arm position influence the classification of Activities of Daily Living using sEMG/IMU data and comparing classifier performance across conditions.

Paper on simulation and analysis of nanomagnetic logic for digital circuit design, presenting modeling and simulation results for nanomagnetic logic elements and their use in digital design.