Hand gesture classification using convex hull skeleton joints moment k-nn technique for dimensionality reduction and incremental learning in the central nervous system’s hologram
Recent breakthroughs with numerous visual experiences using mobile devices encourage the research of human-computer interaction (HCI) involving hand gesture recognition for Holograms, Virtual Reality, and Augmented Reality. The rise of these technologies allows educators in medical segments to ap...
Main Author: | Abdul Kahar, Zainal |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/104004/1/FSKTM%202022%202%20UPMIR.pdf |
Similar Items
-
Prototype Program Hand Gesture Recognize Using the Convex Hull Method and Convexity Defect on Android
by: Muhammad Adi Khairul Anshary, et al.
Published: (2020-12-01) -
Hand pose/gesture analysis using artificial intelligence
by: Lim, Ze Xuan
Published: (2024) -
Spatio-Temporal Transformer with Kolmogorov–Arnold Network for Skeleton-Based Hand Gesture Recognition
by: Pengcheng Han, et al.
Published: (2025-01-01) -
A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition
by: David Richard Tom Hax, et al.
Published: (2024-01-01) -
Analisis Penerapan Metode Convex Hull Dan Convexity Defects Untuk Pengenalan Isyarat Tangan
by: Artha Gilang Saputra, et al.
Published: (2018-09-01)