Evaluation of the Feasibility of Classifying Various Upper Limb Movements Using Multichannel Upper-Arm sEMG Signals
Daehui Kim¹, Junghun Kim²*, Sang-Il Choi²*
¹ Department of Computer Software, Daegu Catholic University, Gyeongsangbuk-do, 38430, Republic of Korea
² School of Computer Software, Daegu Catholic University, Gyeongsangbuk-do, 38430, Republic of Korea
* Corresponding authors: fainal2@cu.ac.kr; sangilchoi@cu.ac.kr
This repository provides surface electromyography (sEMG) data recorded from upper-arm muscles during various upper limb movements.
The dataset was constructed to evaluate the feasibility of classifying elbow, forearm, wrist, and hand movements using only multichannel upper-arm sEMG signals.
sEMG signals were recorded from five upper-arm muscle sites.
| Channel | Muscle |
|---|---|
| CH1 | Biceps brachii long head |
| CH2 | Biceps brachii short head |
| CH3 | Triceps brachii long head |
| CH4 | Triceps brachii lateral head |
| CH5 | Brachialis |
The signals were collected at a sampling frequency of 1000 Hz.
The experiment was conducted under two posture conditions.
- Static condition: elbow fixed on a desk
- Free condition: elbow not fixed
The following eight upper limb movements were performed.
| Label | Movement |
|---|---|
| CH | Hand Close |
| OH | Hand Open |
| WF | Wrist Flexion |
| WE | Wrist Extension |
| PRO | Forearm Pronation |
| SUP | Forearm Supination |
| EF | Elbow Flexion |
| EE | Elbow Extension |
Hand_Gesture_Classification/
├── data/
│ ├── CH1_a.csv
│ ├── CH1_b.csv
│ ├── CH1_c.csv
│ ├── ...
│ └── ...
├── LICENSE
└── README.md
The data files are named according to the following format.
[movement label][trial number]_[participant label].csv
[movement label][trial number]_s_[participant label].csv
Examples:
CH1_a.csv
CH1_s_a.csv
CH2_a.csv
CH2_s_a.csv
The file name consists of the movement label, trial number, posture condition, and participant label.
CH,OH,WF,WE,PRO,SUP,EF, andEEindicate the movement labels.- The number after the movement label indicates the trial session number.
- Files without
_s_indicate data collected under the static condition. - Files containing
_s_indicate data collected under the free condition. - The final alphabetic label indicates the participant.
For example:
CH1_a.csvindicates data from participanta, collected during the 1st trial session of the hand close movement under the static condition.CH1_s_a.csvindicates data from participanta, collected during the 1st trial session of the hand close movement under the free condition.
Each movement was recorded for three trial sessions.
This dataset can be used for research on:
- sEMG-based upper limb movement classification
- hand and wrist gesture recognition
- upper-arm sEMG signal analysis
- machine learning-based biosignal classification
- comparison of sEMG classification performance under different posture conditions
This dataset was collected after Institutional Review Board (IRB) approval and written informed consent from all participants.
If you use this dataset or repository in your research, please cite the related paper.
This dataset is provided for research and educational purposes only.
Please see the LICENSE file for details.
For questions regarding this repository, please contact the email below.