Chandrasekhar Potluri

发表

Frequency domain surface EMG sensor fusion for estimating finger forces

Madhavi Anugolu, Parmod Kumar, Marco P. Schoen, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

A Motor Point Identification Technique Based on Dempster Shafer Theory

Madhavi Anugolu, Marco P. Schoen, Alex Urfer, 2014, HRI 2014.

sEMG based real-time embedded force control strategy for a prosthetic hand prototype

S. Hossein Mousavinezhad, Parmod Kumar, D. Subbaram Naidu, 2011, 2011 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY.

Towards smart prosthetic hand: Adaptive probability based skeletan muscle fatigue model

Anish Sebastian, Parmod Kumar, Marco P. Schoen, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Implementation of sEMG-based real-time embedded adaptive finger force control for a prosthetic hand

Madhavi Anugolu, Parmod Kumar, Marco P. Schoen, 2011, IEEE Conference on Decision and Control and European Control Conference.

Multi-Level Embedded Motor Control for Prosthesis

Madhavi Anugolu, Parmod Kumar, Steve C. Chiu, 2010, ESA.

Real-time embedded frame work for sEMG skeletal muscle force estimation and LQG control algorithms for smart upper extremity prostheses

Madhavi Anugolu, Marco P. Schoen, D. Subbaram Naidu, 2015, Eng. Appl. Artif. Intell..

Genetic Algorithm Running Time Optimization Using OpenMP Parallel Computing

Parmod Kumar, Marco P. Schoen, Steve C. Chiu, 2010, PDPTA.

sEMG based fuzzy control strategy with ANFIS path planning for prosthetic hand

Madhavi Anugolu, Parmod Kumar, Marco P. Schoen, 2010, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

Spectral analysis of sEMG signals to investigate skeletal muscle fatigue

Madhavi Anugolu, Anish Sebastian, Parmod Kumar, 2011, IEEE Conference on Decision and Control and European Control Conference.

An adaptive hybrid data fusion based identification of skeletal muscle force with ANFIS and smoothing spline curve fitting

Madhavi Anugolu, Anish Sebastian, Parmod Kumar, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Real-time embedded framework for force and position, estimation and control strategies for the smart prostheses

Steve C. Chiu, Chandrasekhar Potluri, 2013 .

Adaptive finger angle estimation from sEMG data with multiple linear and nonlinear model data fusion

Madhavi Anugolu, Anish Sebastian, Parmod Kumar, 2011 .

Computational intelligence based data fusion algorithm for dynamic sEMG and skeletal muscle force modelling

Madhavi Anugolu, Marco P. Schoen, Alex Urfer, 2013, 2013 6th International Symposium on Resilient Control Systems (ISRCS).

A hybrid adaptive multi sensor data fusion for estimation of skeletal muscle force for prosthetic hand control

Madhavi Anugolu, Anish Sebastian, Parmod Kumar, 2011 .

Hybrid fusion of linear, non-linear and spectral models for the dynamic modeling of sEMG and skeletal muscle force: An application to upper extremity amputation

Madhavi Anugolu, Marco P. Schoen, Alex Urfer, 2013, Comput. Biol. Medicine.

Adaptive multi sensor based nonlinear identification of skeletal muscle force

Anish Sebastian, Parmod Kumar, Marco P. Schoen, 2010 .

An adaptive multi sensor data fusion with hybrid nonlinear ARX and Wiener-Hammerstein models for skeletal muscle force estimation

Anish Sebastian, Parmod Kumar, Marco P. Schoen, 2010 .

Optimal tracking of a sEMG based force model for a prosthetic hand

Madhavi Anugolu, Marco P. Schoen, D. Subbaram Naidu, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A hybrid adaptive data fusion with linear and nonlinear models for skeletal muscle force estimation

Madhavi Anugolu, Anish Sebastian, Parmod Kumar, 2010, 2010 5th Cairo International Biomedical Engineering Conference.

Fusion of spectral models for dynamic modeling of sEMG and skeletal muscle force

Madhavi Anugolu, Marco P. Schoen, Alex Urfer, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.