EMG features dataset for arm activity recognitionGoogle Drive
This study presents a dataset on hand gesture recognition using electromyography (EMG) signals. The data was collected from eight healthy subjects aged between 19 and 35 years, with each subject performing three distinct hand gestures (lifting, grabbing, and flexing). Surface EMG signals were record...
Saved in:
| Main Authors: | Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Anish C. Turlapaty, Balakrishna Gokaraju |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925002513 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gas sensors and real-time video for accurate classroom occupancy detection
by: Koundinya Challa, et al.
Published: (2025-06-01) -
A Novel Bilateral Data Fusion Approach for EMG-Driven Deep Learning in Post-Stroke Paretic Gesture Recognition
by: Alexey Anastasiev, et al.
Published: (2025-06-01) -
In-Situ Measuring sEMG and Muscle Shape Change With a Flexible and Stretchable Hybrid Sensor for Hand Gesture Recognition
by: Pingao Huang, et al.
Published: (2023-01-01) -
An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention
by: Bin Jiang, et al.
Published: (2024-12-01) -
On the Benefit of FMG and EMG Sensor Fusion for Gesture Recognition Using Cross-Subject Validation
by: Maurice Rohr, et al.
Published: (2025-01-01)