# A novel AVOA optimized DNN-BiLSTM-attention model for improved gesture classification using electromyography signal

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-avoa-optimized-dnn-bilstm-attention-model-for-improved-gesture/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gautam Shah,Abhinav Sharma,Deepak Joshi,Ajit Singh Rathor |
| Citations | 9 |
| DOI | 10.1016/j.rineng.2025.105648 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.rineng.2025.105648 |
| OpenAlex ID | https://openalex.org/W4411148271 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Gautam Shah](https://scholariq.org/researchers/gautam-shah/)
- [Ajit Singh Rathor](https://scholariq.org/researchers/ajit-singh-rathor/)

## Paper journal

- [Results in Engineering](https://scholariq.org/journals/results-in-engineering/)

## Paper primary topic

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

## Paper topics

- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)
- [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.