activity
20182024
most citedIIDS: Design of Intelligent Intrusion Detection System for Internet-of-Things Applications

2 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2024

EMGTTL: Transformers-Based Transfer Learning for Classification of ADL using Raw Surface EMG Signals

Ashraf Ali Kareemulla, Rakesh Kumar Sanodiya, Anish Chand Turlapaty +1

Surface Electromyography (sEMG) is widely studied for its applications in rehabilitation, prosthetics, robotic arm control, and human-machine interaction. However, classifying Acti…

cs.CR2023★ 2 cited

IIDS: Design of Intelligent Intrusion Detection System for Internet-of-Things Applications

KG Raghavendra Narayan, Srijanee Mookherji, Vanga Odelu +3

With rapid technological growth, security attacks are drastically increasing. In many crucial Internet-of-Things (IoT) applications such as healthcare and defense, the early detect…

eess.SP2023

An Improved Compound Gaussian Model for Bivariate Surface EMG Signals Related to Strength Training

Durgesh Kusuru, Anish C. Turlapaty, Mainak Thakur

Recent literature suggests that the surface electromyography (sEMG) signals have non-stationary statistical characteristics specifically due to random nature of the covariance. Thu…

eess.SP2023★ 1 cited

Analysis of LGM Model for sEMG Signals related to Weight Training

Durgesh Kusuru, Anish C. Turlapaty, Mainak Thakur

Statistical models of Surface electromyography (sEMG) signals have several applications such as better understanding of sEMG signal generation, improved pattern recognition based c…

eess.SP2023

EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living

Naveen Kumar Karnam, Anish Chand Turlapaty, Shiv Ram Dubey +1

In this paper, we present electromyography analysis of human activity - database 1 (EMAHA-DB1), a novel dataset of multi-channel surface electromyography (sEMG) signals to evaluate…

eess.SP2023

A Laplacian Gaussian Mixture Model for Surface EMG Signals of Human Arm Activity

Durgesh Kusuru, Anish C. Turlapaty, Mainak Thakur

The probability density function (pdf) of surface Electromyography (sEMG) signals follows any one of the standalone standard distributions: the Gaussian or the Laplacian. Further,…

eess.SP2018★ 2 cited

Feature Analysis for Classification of Physical Actions using surface EMG Data

Anish C. Turlapaty, Balakrishna Gokaraju

Based on recent health statistics, there are several thousands of people with limb disability and gait disorders that require a medical assistance. A robot assisted rehabilitation…