Krishan Bhakta
@krishanbhakta
Mech.E. PhD @GeorgiaTech in the EPIC Lab, researching intent recognition for lower limb prostheses
ID: 1179821542563139585
03-10-2019 18:13:41
18 Tweet
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Gap-filling for marker-based motion capture data is time-consuming. Our new work, led by Jonathan Camargo, presents an automated method to reduce this time by 80% - and it's all open-source! Check out the paper below. Paper: tandfonline.com/doi/abs/10.108… Code: github.com/JonathanCamarg…
Locomotion mode is difficult to predict across users. In our new work, led by Krishan Bhakta, we found that XGBoost outperformed LDA and NN in predicting locomotion mode across varying slopes and stair heights for individuals with transfemoral amputation. ieeexplore.ieee.org/document/91348…
Huge congratulations to Jenny Leestma (Jenny Leestma, GaTech PoWeR Lab) and Keaton Scherpereel on receiving the #NSFGRFP Fellowship!! We're very proud of you two! Robotics@GT Georgia Tech ME
We have a Dr. in the house! Congratulations to Dr. Jonathan Camargo (Jonathan Camargo) who successfully defended his dissertation, becoming the first doctoral student to graduate from the EPIC Lab! Robotics@GT Georgia Tech ME
Walking with available leg prostheses is highly inefficient. In our latest #research study, we show that a powered hip #exoskeleton improves #amputee #walking economy by ~15%. Funded by CDMRP University of Utah John and Marcia Price College of Engineering Published with Springer Nature in Nature Medicine
Congratulations to Dr. Krishan Bhakta for successfully defending his dissertation!! Krishan Bhakta's work focused on improving intelligence of robotic transfemoral prostheses. Georgia Tech ME