emotion-recognition-smartwatch
importedsoftware/emotion-recognition-smartwatch
Data set and source code used in "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study."
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- mental.jmir.org/2018/3/e10153/
- Documentation
- unknown
- Tags
- emotion-recognition · jmir · mental-health · sensor-data · smartwatch · supervised-learning
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Predictive-Modeling-for-Diabetes-Analysissupervised-learning
🩺 Diabetes Prediction & Patient Stratification: A Machine Learning Approach.
- OpenMuscle-Softwaresensor-data
PC application for OpenMuscle: sensor capture, ML training and inference, FastAPI web UI, plus the embedded firmware workshop (MicroPython, ESP32-S3)
- AI-NLP-Paper-Readingsemotion-recognition
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
- EEG-Emotion-Recognitionemotion-recognition
EEG-Based Emotion Recognition
- AT-DGNNemotion-recognition
[BIBM2024] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
- emotion-recognition-conversationsemotion-recognition
Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-based LSTM network
- api.github.com/repos/juancq/emotion-recognition-smartwatchretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-07-06, 30 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/11.json→ .entries["emotion-recognition-smartwatch"]
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