Datasets:

malansi
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EMG-Gesture-Dataset

session string	date string	total_samples int64	duration_sec float64	fs_emg int64	repetitions int64	gestures dict	per_label dict
sessions/session_20260629_135035	2026-06-29T13:56:26.597347	68,158	340.8	200	5	{ "0": "rest", "1": "fist", "2": "open_hand", "3": "wave_in", "4": "wave_out", "5": "pinch" }	{ "0": 46552, "1": 3994, "2": 4004, "3": 4004, "4": 4002, "5": 5602 }
sessions/session_20260629_141407	2026-06-29T14:25:52.230468	61,042	305.2	200	6	null	{ "0": 31008, "1": 6006, "2": 6008, "3": 6004, "4": 6008, "5": 6008 }
sessions/session_20260629_161304	2026-06-29T16:24:49.470696	60,438	302.2	200	6	null	{ "0": 30718, "1": 5950, "2": 5922, "3": 5936, "4": 5962, "5": 5950 }
sessions/session_20260629_174158	2026-06-29T17:53:50.814240	60,436	302.2	200	6	null	{ "0": 30696, "1": 5950, "2": 5964, "3": 5966, "4": 5918, "5": 5942 }

YAML Metadata Warning:The task_categories "time-series-classification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

EMG Gesture Dataset — Myo Armband

Real EMG recordings from Myo Armband for hand gesture recognition. Collected to train the EMG-Gesture-Recognition model.

Dataset Summary

Property	Value
Sensor	Myo Armband
Channels	8 EMG channels
Sampling Rate	200 Hz
Sessions	4
Gestures	6
Rounds per gesture	6
Total samples	~250,000

Gestures

Label	Gesture	Description
0	rest	Hand relaxed, flat on table
1	fist	Hand closed into tight fist
2	open_hand	Hand fully open, fingers spread
3	wave_in	Wrist bent inward toward body
4	wave_out	Wrist bent outward, fingers closed
5	pinch	Index finger and thumb pinched

Recording Protocol

For each gesture:

Countdown (4s) ← not recorded Hold gesture (5s) ← recorded Relax countdown (8s) ← not recorded Rest (5s) ← recorded Repeat × 6 rounds

File Structure

data/ session_20260629_135035/ emg_data.csv ← EMG + labels meta.json ← session metadata session_20260629_141407/ ... session_20260629_161304/ ... session_20260629_174158/ ...