Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation

no code implementations • 2 Apr 2022 • Ahmed Aqeel Shaikh, Anand Kumar Mukhopadhyay, Soumyajit Poddar, Suman Samui

The current work has proposed an approach to design an energy-efficient EMG-based controller by considering a kernelized SVM classifier for decoding the information of surface electromyography (sEMG) signals to infer the underlying muscle movements.

Position

Acoustic Scene Analysis using Analog Spiking Neural Network

no code implementations • 23 Dec 2019 • Anand Kumar Mukhopadhyay, Naligala Moses Prabhakar, Divya Lakshmi Duggisetty, Indrajit Chakrabarti, Mrigank Sharad

An appropriate data processing scheme in the sensor node reduces the power dissipation of the transceiver through the compression of information to be communicated.

Classification General Classification +1

Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application

no code implementations • 25 Feb 2018 • Anand Kumar Mukhopadhyay, Indrajit Chakrabarti, Arindam Basu, Mrigank Sharad

The advantage of the former classifier is that it is power efficient while providing comparable accuracy as that of the digital implementation due to the robustness of the SNN training algorithm which has a good tolerance for variation in memristance.

General Classification Spike Sorting