awesome-gsr
github.com/mintisan/awesome-gsr ↗A comprehensive collection of GSR-related resources, including libraries, datasets, tutorials, papers, and more, for researchers and developers in the Galvanic Skin Response field.
30
GitHub Stars
50
Curated Resources
5
Categories
21 hours ago
Last Refreshed
LibraryPapersBooksTutorialDatasets
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me papers resources from awesome-gsr"
Installation instructions →What's inside
Papers
- A continuous measure of phasic electrodermal activity
- A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors
- A Guide for Analysing Electrodermal Activity (EDA) & Skin Conductance Responses (SCRs) for Psychological Experiments
- A Method for Stress Detection Using Empatica E4 Bracelet and Machine-Learning Techniques
- Analysis of the quality of electrodermal activity and heart rate data recorded in daily life over a period of one week with an E4 wristband
- A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning
Tutorial
Library
Datasets
- Continuously Annotated Signals of Emotion (CASE)
A dataset of continuous affect annotations and physiological signals for emotion analysis-paper
- DEAPdataset
DEAP: A Database for Emotion Analysis using Physiological Signals-paper-3904
- ECG and GSR Data for Emotion Recognition during Covid-19 Epidemic
- Electrodermal Activity artifact correction BEnchmark (EDABE)
- MAHNOB-HCI : A Multimodal Database for Affect Recognition and Implicit Tagging
- Physiology of Auditory Attention (PhyAAt)
Showing a sample of 50 resources. View the full list on GitHub →