Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System
Hand gesture recognition plays a significant role in human-to-human and human-to-machine interactions. Currently, most hand gesture detection methods rely on fixed hand gesture recognition. However, with the diversity and variability of hand gestures in daily life, this paper proposes a registerable...
Saved in:
| Main Authors: | Yuting Meng, Haibo Jiang, Nengquan Duan, Haijun Wen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/19/6262 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hand Gesture-Based Human-Computer Interaction using MediaPipe and OpenCV
by: Risma Dwi Tjutarjo Putri, et al.
Published: (2025-07-01) -
Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe
by: Nurul Hanis Mohd Dhuzuki, et al.
Published: (2025-01-01) -
Survey on Hand Gesture Recognition From Visual Input
by: Manousos Linardakis, et al.
Published: (2025-01-01) -
A multi-channel bioimpedance-based device for Vietnamese hand gesture recognition
by: Nhat-Minh Than, et al.
Published: (2024-12-01) -
Using Kernel Estimator and K-Mean Clustering Approach to Hand Gesture Recognition
by: Ban Mitras, et al.
Published: (2013-03-01)