EMG dataset for gesture recognition with arm translation

Myoelectric control has emerged as a promising approach for a wide range of applications, including controlling limb prosthetics, teleoperating robots, and enabling immersive interactions in the metaverse. However, the accuracy and robustness of myoelectric control systems are often affected by various factors, including muscle fatigue, perspiration, drifts in electrode positions, and changes in arm position. The latter has received less attention despite its significant impact on signal quality and decoding accuracy. To address this gap, we present GREAT, a novel dataset of surface electromyographic (EMG) signals captured from multiple arm positions. This dataset, comprising EMG and hand kinematics data from 8 participants performing 6 different hand gestures, provides a comprehensive resource for investigating position-invariant myoelectric control decoding algorithms. We envision this dataset to serve as a valuable resource for both training and benchmarking arm position-invariant my..., , , # EMG dataset for gesture recognition with arm translation

[https://doi.org/10.5061/dryad.8sf7m0czv](https://doi.org/10.5061/dryad.8sf7m0czv)

Corresponding author: Iris Kyranou, email: [[e-mail]](mailto:[e-mail])

## Description of the data and file structure

### Subjects

8 intact subjects.

### Acquisition Setup

The sEMG data are acquired using four Trigno Quattro Sensors ([https://delsys.com/trigno-quattro/](https://delsys.com/trigno-quattro/)), while kinematic data are acquired using a Cyberglove II data glove ([http://www.cyberglovesystems.com/cyberglove-ii](http://www.cyberglovesystems.com/cyberglove-ii)).

The **EMG data collection process** involves the following steps:

* Surface EMG (sEMG) signals sampled at 2kHz
* Skin cleaned with 70% isopropyl alcohol before electrode placement
* 16 electrodes arranged in two rows of 8 around the forearm:
* First row: Starting at extensor carpi ulnaris muscle
* Second row: Positioned between the electrodes of the f...