Krishan Bhakta — accepted AI-conference papers

2021

Evaluation of Continuous Walking Speed Determination Algorithms and Embedded Sensors for a Powered Knee & Ankle Prosthesis

Krishan Bhakta, Jonathan Camargo, William D. Compton, Kinsey Herrin, Aaron J. Young

RA-L 2021

Dynamically altering the parameters for assistance in a lower limb prosthesis is a challenge that depends directly on the ability to estimate gait parameters. Machine learning algorithms present an opportunity to develop methods for continuously determining walking speed in different conditions. Cur

Cited by 14 Source ↗Scholar ↗

2020

Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses

Krishan Bhakta, Jonathan Camargo, Luke Donovan, Kinsey Herrin, Aaron J. Young

RA-L 2020

Developing intelligent prosthetic controllers to recognize user intent across users is a challenge. Machine learning algorithms present an opportunity to develop methods for predicting user's locomotion mode. Currently, linear discriminant analysis (LDA) offers the standard solution in the state-of-

Cited by 43 Source ↗Scholar ↗