# Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hand-gesture-recognition-using-emg-imu-signals-and-deep-q-networks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Juan Pablo Vásconez,Lorena Isabel Barona López,Ángel Leonardo Valdivieso Caraguay,Marco E. Benalcázar |
| Citations | 48 |
| DOI | 10.3390/s22249613 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/22/24/9613/pdf?version=1670486753 |
| OpenAlex ID | https://openalex.org/W4311855658 |
| PMID | 36559983 |
| Type | article |
| Year | 2022 |

## 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/)
- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [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.