ArticleScientific data2022
Multi-day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A Co-Located sEMG-pFMG Dataset for Hand Gesture Recognition Under Varying Arm-Position Conditions.Sensors (Basel, Switzerland) · 2026Article
- Design and Evaluation of a Compact CNN for EMG-Based Wearable Systems Under Embedded Constraints.Sensors (Basel, Switzerland) · 2026Article
- Surface EMG-Based Hand Gesture Recognition Using a Hybrid Multistream Deep Learning Architecture.Sensors (Basel, Switzerland) · 2026Article
- User Authentication Using Inner-Wrist Skin Prints: Feasibility and Performance Assessment with Off-the-Shelf Fingerprint Sensor.Sensors (Basel, Switzerland) · 2026Article
- PhysioMio: bilateral and longitudinal HD-sEMG dataset of 16 hand gestures from 48 stroke patients.Scientific data · 2026Article
- Stage-specific EMG feature optimization for enhanced post-stroke hand gesture recognition.Journal of neuroengineering and rehabilitation · 2025Article
- A Consecutive Multi-Day High-Density Surface Electromyography Dataset Comprising 7 Grasps and 11 Gestures.Scientific data · 2025Article
- Hand kinematics, high-density sEMG comprising forearm and far-field potentials for motion intent recognition.Scientific data · 2025Article
- Machine learning for hand pose classification from phasic and tonic EMG signals during bimanual activities in virtual reality.Frontiers in neuroscience · 2024Article
- Big data in myoelectric control: large multi-user models enable robust zero-shot EMG-based discrete gesture recognition.Frontiers in bioengineering and biotechnology · 2024Article
- On the Distribution of Muscle Signals: A Method for Distance-Based Classification of Human Gestures.Sensors (Basel, Switzerland) · 2023Article
- Surface electromyographic characteristics of forearm muscles after ulnar and radius fracture inchildren.Frontiers in pediatrics · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surface electromyography (sEMG) signals have been used for advanced prosthetics control, hand-gesture recognition (HGR), and more recently as a novel biometric trait. For these sEMG-based applications, the translation from laboratory research setting to real-life scenarios suffers from two major limitations: (1) a small subject pool, and (2) single-session data recordings, both of which prevents acceptable generalization ability. In this longitudinal database, forearm and wrist sEMG data were collected from 43 participants over three different days with long separation (Days 1, 8, and 29) while they performed static hand/wrist gestures. The objective of this dataset is to provide a comprehensive dataset for the development of robust machine learning algorithms of sEMG, for both HGR and biometric applications. We demonstrated the high quality of the current dataset by comparing with the Ninapro dataset. And we presented its usability for both HGR and biometric applications. Among other applications, the dataset can also be used for developing electrode-shift invariant generalized models, which can further bolster the development of wristband and forearm-bracelet sensors.
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