Jordan Clark

Background

About Jordan Clark

Experience with:Unity3D / C#(VR & AR, industrial robotics simulation), Matlab / Simulink (EMG EEG fNIRS signal processing, feature extraction, neural network classification, simscape inverse kinematics), Python (Jupyter notebooks, numpy, pandas, matplotlib, scikit learn and tensorflow for machine learning), Arduino, UDP/TCP networking, OpenSim, OpenViBE, Lab Streaming Layer, Autodesk Inventor, Solidworks, 3D printing (FDM, SLA), LabView, Excel/VBA, Word, Power PointProjects:Hybrid BCI Soft-Robotic Assistive Glove for Post-Stroke Motor Impairment Rehabilitation Simulink signal acquisition from EEG & fNIRS, windowing time-frequency domain feature extraction, Matlab nntool for classification of individual finger motor imagery using bayesian regularization, UDP networking to send control signal to glove’s arduino code and Magic Leap One AR headset for biofeedback. Calculated corticomuscular coherence to focus recovery on the movements the user is struggling to rehabilitateMotor Imagery & SSVEP based BCI Control Systems in VR for Space Applications Used unloading harness and inversion table to simulate reduced gravity environments; developed simulated earth, mars, ISS VR environments for Oculus Rift S using Unity3D XR interaction toolkit, created 7dof industrial robotic arm and quadcopter in Unity; Matlab / Simulink for signal acquisition, offline analysis, real-time classification, and control systems using UDP networking 1st place Local, 2nd place Area 2020 Undergraduate Research CompetitionEMG Individual Finger Movement Classification Used python modules for preprocessing, feature extraction, multi-class classification using MLP, SVM, sequential NN, BiGRU, BiLSTM (99% validation accuracy)