# Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/recognition-of-hand-gestures-based-on-emg-signals-with-deep-and-double-deep-q/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ángel Leonardo Valdivieso Caraguay,Juan Pablo Vásconez,Lorena Isabel Barona López,Marco E. Benalcázar |
| Citations | 30 |
| DOI | 10.3390/s23083905 |
| Fields | Computer Science,Engineering,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/23/8/3905/pdf?version=1681269152 |
| OpenAlex ID | https://openalex.org/W4365147630 |
| PMID | 37112246 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Juan Pablo Vásconez](https://scholariq.org/researchers/juan-pablo-vasconez/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)

## Paper topics

- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Gaze Tracking and Assistive Technology](https://scholariq.org/topics/gaze-tracking-and-assistive-technology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.