A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
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Updated
Apr 26, 2024 - Python
A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).
Predicting driver stress levels using Physionet's SRAD (drivedb) dataset with methods such as LSTMs, RNNs, CNNs
PhyAAt: Physiology of Auditory Attention - Processing Library
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 …
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.
Python code for SparsEDA EDA/GSR decomposition method
An android application aimed at monitoring the user body reaction an stress level during the reading of a document.
Integration of the Mionix Naos QG mouse with iMotions. Sends data based on availabe metrics from the Mionix beta API - Making it available for standard PPG + GSR analysis in iMotions.
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