Leveraging Self-Attention Mechanism for Deep Learning in Hand-Gesture Recognition System
This research addresses the complex challenge of recognizing hand gestures irrespective of the user's body posture, a crucial issue in medical treatment for people with speech impairments and human-machine interfaces where precise gesture interpretation is vital. The aim is to engineer an advan...
Main Authors: | Haq Muhamad Amirul, Huy Le Nam Quoc, Ridlwan Muhammad, Naila Ishmatun |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/30/e3sconf_interconnects2024_01009.pdf |
Similar Items
-
Multi-Angle Facial Recognition: Enhancing Biometric Security with a Broadly Positioned Stereo-Camera System
by: Haq Muhamad Amirul, et al.
Published: (2024-01-01) -
Online Hand Gesture Recognition Using Semantically Interpretable Attention Mechanism
by: Moon Ju Chae, et al.
Published: (2025-01-01) -
Content-Adaptive and Attention-Based Network for Hand Gesture Recognition
by: Zongjing Cao, et al.
Published: (2022-02-01) -
HandFormer: A Dynamic Hand Gesture Recognition Method Based on Attention Mechanism
by: Yun Zhang, et al.
Published: (2023-04-01) -
DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition
by: Qingqing Li, et al.
Published: (2023-01-01)