# Classification of grasping tasks based on EEG-EMG coherence

arXiv: https://arxiv.org/abs/1809.03300 · HTML: https://mlsanity.com/paper/1809.03300/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Sep 2018.

## Built on by (most cited first, 1 of 1)

- [ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens](https://mlsanity.com/paper/2102.08692/) (2021)

## Abstract (arXiv)

This work presents an innovative application of the well-known concept of cortico-muscular coherence for the classification of various motor tasks, i.e., grasps of different kinds of objects. Our approach can classify objects with different weights (motor-related features) and different surface frictions (haptics-related features) with high accuracy (over 0:8). The outcomes presented here provide information about the synchronization existing between the brain and the muscles during specific activities; thus, this may represent a new effective way to perform activity recognition.