Shawn Polson's repositories
Satellite-Telemetry-Anomaly-Detection
Unsupervised machine learning techniques for detecting anomalies in LASP spacecraft telemetry
iPhone-X-Face-Gestures
A prototype app that controls an iPhone X with face gestures, using Apple's ARKit
James-s-EVE-Dimming-Index-JEDI
Detect and characterize coronal dimming in the Solar Dynamics Observatory Extreme Ultraviolet Variability Experiment data
ellipsis-education-wp-theme
WordPress child theme of a website designed by the Universal Design Buffs in the 2018 OpenAIR rally
Final-Magic-Elevator-Funck-Polson
Call an elevator by casting magic spells: Harry Potter in real life
JPL-CUSeniorProjects
M.A.R.S.: A command-line utility that produces physically possible routes for a rover to take from point A to point B, navigating a provided elevation map with various algorithms
OpenAI-Meeting-Minutes
An automated meeting minutes generator with Whisper and GPT-4
pyhc-environment-files
Files for a unified Python virtual environment containing all published PyHC packages
Classification-PIFFS
The Pilot Fatigue Finding System (PIFFS) aims to prevent sleepiness, fatigue, and degenerating vigilance of airline pilots using a wake up alarm.
ClsReg-AdaptiveKaraoke
A singing game that changes the scoring parameters based on the range of the singer.
DTWSpells-ShawnPolson
Minimal code pieces to call an elevator with a "magic wand."
FaceTrigger
Easily use ARKit to detect facial gestures. FaceTrigger is a simple to use class that hides the details of using ARKit's ARSCNView to recognize facial gestures via ARFaceAnchor.BlendShapeLocations
input-interactions-and-accessibility
Course work from CSCI 4830 -- Input, Interactions, and Accessibility
my-pyhc-package
Demo PyHC package example.
node-ws-test
A WebRTC signaling server for Heroku
pyhc-docker
Source files for PyHC Docker images
pyhc-jbook-experiment
Experimental demo of PyHC gallery using jupyterbook
Stealth-CME-Detection
Working with data from the SDO EVE instrument, which comes in the form of FITS files, we helped with the detection and characterization of stealth CMEs. We worked under James Mason, a NASA Postdoctoral Program Fellow from Goddard.
telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.