Katon: real-time hand-gesture recognition on tiny embedded systems
As gesture recognition technology transforms human-computer interactions across various applications such as Virtual Reality (VR) and other smart wearables, the demand for real-time gesture recognition on limited-capacity hardware increases. Most of these applications need efficiency and responsi...
Main Author: | Mohamed Ali Mohamed Umar |
---|---|
Other Authors: | Mohamed M. Sabry Aly |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181208 |
Similar Items
-
Multimodal interaction technique using occlusion-free hand gesture and speech in mixed reality environment /
by: Mohamad Yahya Fekri Aladin, 1992-, author 633130, et al.
Published: (2020) -
Radar gesture recognition using deep learning: a multi-feature fusion approach
by: Wu, Huan
Published: (2025) -
Human activities recognition in smart living environment
by: Yao, Hengji
Published: (2024) -
Towards efficient video-based action recognition: context-aware memory attention network
by: Koh, Thean Chun, et al.
Published: (2024) -
Dynamically growing neural network architecture for lifelong deep learning on the edge
by: Piyasena, Duvindu, et al.
Published: (2021)