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Add dataset README

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+ ---
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+ language: en
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+ tags:
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+ - emg
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+ - gesture-recognition
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+ - myo-armband
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+ - biosignals
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+ - time-series
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+ license: mit
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+ task_categories:
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+ - time-series-classification
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+ ---
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+
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+ # EMG Gesture Dataset — Myo Armband
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+
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+ Real EMG recordings from Myo Armband for hand gesture recognition.
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+ Collected to train the [EMG-Gesture-Recognition](https://huggingface.co/malansi/EMG-Gesture-Recognition) model.
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+
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+ ## Dataset Summary
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+
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+ | Property | Value |
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+ |----------|-------|
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+ | Sensor | Myo Armband |
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+ | Channels | 8 EMG channels |
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+ | Sampling Rate | 200 Hz |
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+ | Sessions | 4 |
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+ | Gestures | 6 |
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+ | Rounds per gesture | 6 |
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+ | Total samples | ~250,000 |
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+
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+ ## Gestures
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+
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+ | Label | Gesture | Description |
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+ |-------|---------|-------------|
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+ | 0 | rest | Hand relaxed, flat on table |
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+ | 1 | fist | Hand closed into tight fist |
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+ | 2 | open_hand | Hand fully open, fingers spread |
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+ | 3 | wave_in | Wrist bent inward toward body |
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+ | 4 | wave_out | Wrist bent outward, fingers closed |
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+ | 5 | pinch | Index finger and thumb pinched |
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+
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+ ## Recording Protocol
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+ For each gesture:
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+
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+ Countdown (4s) ← not recorded
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+ Hold gesture (5s) ← recorded
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+ Relax countdown (8s) ← not recorded
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+ Rest (5s) ← recorded
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+ Repeat × 6 rounds
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+
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+
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+ ## File Structure
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+ data/
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+ session_20260629_135035/
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+ emg_data.csv ← EMG + labels
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+ meta.json ← session metadata
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+ session_20260629_141407/
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+ ...
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+ session_20260629_161304/
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+ ...
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+ session_20260629_174158/
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+ ...
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+
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+ ## CSV Columns
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+
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+ | Column | Description |
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+ |--------|-------------|
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+ | emg_0 … emg_7 | Raw EMG signal (8 channels) |
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+ | timestamp | Unix timestamp |
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+ | label | Gesture label (0–5) |
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+ | gesture | Gesture name |
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+
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+ ## Notes
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+
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+ - Session 1 contains a minor labeling error in the last repetition of pinch
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+ - All sessions used for training the final model
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+ - Normalization stats: see model repo
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+
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+ ## Related
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+
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+ - Model: [malansi/EMG-Gesture-Recognition](https://huggingface.co/malansi/EMG-Gesture-Recognition)
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+
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+ ## Author
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+
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+ Mohammed Alansi
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+ AI & Robotics Research — EMG-Based Prosthetic Control