GitHub topics: galvanic-skin-response
galihru/pulsemind
PulseMind is an integrated Galvanic Skin Response (GSR) monitoring system that combines ESP32 sensor GitHub-based data storage Web-based visualization dashboard The system measures EDA as an indicator of sympathetic nervous system arousal, which correlates with psychological stress levels.
Language: JavaScript - Size: 10 MB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
obss/BIOBSS
A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
Language: Python - Size: 11.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 127 - Forks: 24
SeyedMuhammadHosseinMousavi/Synthetic-Data-Generation-by-Supervised-Neural-Gas-Network
Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data
Language: Python - Size: 2.23 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
YoungsunUConn/SparsEDA-Python
Python code for SparsEDA EDA/GSR decomposition method
Language: Python - Size: 74.2 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 1
ronibandini/TheSoundMachine
Arduino code for The Sound Machine based on Roald Dahl short story
Language: C++ - Size: 129 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0
Nikeshbajaj/phyaat
PhyAAt: Physiology of Auditory Attention - Processing Library
Language: Python - Size: 44.9 KB - Last synced at: 28 days ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 6
EddieTGH/D-Stress-WearableSensorProject
D-Stress: Coded by Edmond Niu, Kelvin Bian, Amanda Lau. Code for wearable, dehydration, galvanic skin response (GSR) sensor measuring electrodermal activity. Utilized Arduino, Firebase, and Python flask script to form a connection between sensor, database, and custom-built website.
Language: CSS - Size: 17.9 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
KryeKuzhinieri/predicting-driver-stress-using-deep-learning
Predicting driver stress levels using Physionet's SRAD (drivedb) dataset with methods such as LSTMs, RNNs, CNNs
Language: Python - Size: 21.5 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0
algal16/a-looking-glass-into-the-unconscious
The long way from K.G.Jung to contemporary polygraphists. The progress is evident, but maybe something important and essential is lost? Let's try to be clear and sort things out with Arduino. "Aha, a looking glass into the unconscious!" - Carl Jung If you have interest, Arduino board, some cheap components, patience to understand several simple but fundamental regularities, then you have the opportunity to have at your disposal no less impressive equipment and method, as Jung had. THE STORY IS ABOUT SERIOUS LOOK TO ELECTRODERMAL ACTIVITY OF HUMAN SKIN – THE MOST POPULAR PSYCHOPHYSIOLOGICAL REACTION DURING MORE THAN 100 YEARS.
Language: C++ - Size: 7.03 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
Heartbound201/InformedConsentMonitor
An android application aimed at monitoring the user body reaction an stress level during the reading of a document.
Language: Java - Size: 72.2 MB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
