SDViT: Stacking of Distilled Vision Transformers for Hand Gesture Recognition
Hand gesture recognition (HGR) is a rapidly evolving field with the potential to revolutionize human–computer interactions by enabling machines to interpret and understand human gestures for intuitive communication and control. However, HGR faces challenges such as the high similarity of hand gestur...
Main Authors: | Chun Keat Tan, Kian Ming Lim, Chin Poo Lee, Roy Kwang Yang Chang, Ali Alqahtani |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/22/12204 |
Similar Items
-
HGR-ViT: Hand Gesture Recognition with Vision Transformer
by: Chun Keat Tan, et al.
Published: (2023-06-01) -
A Review of the Hand Gesture Recognition System: Current Progress and Future Directions
by: Noraini Mohamed, et al.
Published: (2021-01-01) -
HGM-4: A new multi-cameras dataset for hand gesture recognition
by: Vinh Truong Hoang
Published: (2020-06-01) -
Combined Hand Gesture — Speech Model for Human Action Recognition
by: Sheng-Tzong Cheng, et al.
Published: (2013-12-01) -
Deep Learning-Based Approach for Sign Language Gesture Recognition With Efficient Hand Gesture Representation
by: Muneer Al-Hammadi, et al.
Published: (2020-01-01)