juancq / emotion-recognition-smartwatchLinks
Data set and source code used in "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study."
☆30Updated 2 years ago
Alternatives and similar repositories for emotion-recognition-smartwatch
Users that are interested in emotion-recognition-smartwatch are comparing it to the libraries listed below
Sorting:
- Pre-processing methods for mHealth and wearables data.☆21Updated 2 years ago
- Are you ready to FLIRT with your wearable data?☆77Updated last year
- Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).☆23Updated 5 years ago
- A Python package for the analysis of biopsychological data.☆46Updated 2 months ago
- Use health and fitness data collected from Samsung Galaxy Watch and blood pressure data from Omron to realize blood pressure prediction.☆36Updated 6 years ago
- wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables a…☆19Updated 4 years ago
- The official repository for the HYPERAKTIV dataset. This repo contains the code used to perform the baseline experiments presented in the…☆14Updated last year
- Using the SWELL dataset from Kaggle, we've built 2 machine learning models to predict whether or not a person is under stress using Heart…☆69Updated 6 years ago
- Welcome to Neurotech@Berkeley's Software Division! This repository serves as an introduction to using the Muse headset to analyze EEG dat…☆12Updated 2 years ago
- ☆19Updated 4 years ago
- ☆67Updated 2 years ago
- Methods for continuous emotion recognition based on heart rate variability signal. Affect recognition, emotion, HRV, ELM, sSOM, dimensio…☆24Updated 8 years ago
- Reproducible Analysis Pipeline for Data Streams☆39Updated last week
- HRnV-Calc software for heart rate n-variability and heart rate variability analysis☆14Updated 4 months ago
- This project aims to detect stress state based on Electrocardiogram signals (WESAD Dataset) analysis with a deep learning model.☆61Updated 3 years ago
- Classify sleep from heart rate and acceleration via Apple Watch☆206Updated 11 months ago
- ADHD subtypes classification project with 3 different datatypes☆34Updated 2 years ago
- PyTEAP: A Python implementation of Toolbox for Emotion Analysis using Physiological signals (TEAP).☆16Updated 4 years ago
- Multimodal Dataset of Freezing of Gait in Parkinson's Disease☆54Updated 3 years ago
- Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to desc…☆15Updated 4 years ago
- An Open Source Data Science toolkit for Parkinson's Disease☆40Updated 2 weeks ago
- A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use o…☆66Updated 7 years ago
- A Python package for the validation of heart rate and heart rate variability in wearables☆14Updated last year
- Preprocessing, analysis and classification of EEG signals into 4 classes.☆17Updated 2 years ago
- Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.☆67Updated 2 years ago
- Code for Swift project to extract acceleration from Apple Watch during sleep - currently under construction☆68Updated last year
- 😴 Classifying patient sleep stage (i.e. REM sleep, shallow, etc.) based on Heart Rate Variability data; model is based on time-domain Co…☆20Updated 6 years ago
- A toolbox for Heart-Rate Variability analysis on ECG signals.☆13Updated 6 years ago
- Multi-voxel pattern analyses methods based on ML & DL to decode the category of visual stimuli viewed by a human subject based on their …☆22Updated 4 years ago
- Classification of sleep stages using accelerometer data☆54Updated 3 years ago