AI-ENHANCED HUMAN-MACHINE INTERFACES USING INTEGRATED MULTI-MODAL SENSING AND HAPTIC-AUGMENTED FUNCTIONS FOR DIGITAL TWIN AND METAVERSE
Ph.D
Saved in:
Main Author: | SUN ZHONGDA |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/245661 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
DEVELOPMENT OF WEARABLE HUMAN MACHINE INTERFACES WITH FUSION OF MULTI-MODAL SENSING AND HAPTIC FEEDBACK TECHNIQUES
by: ZHU MINGLU
Published: (2022) -
Designing an educational metaverse: a case study of NTUniverse
by: Sim, Jing Kai, et al.
Published: (2024) -
Magnetic field based near surface haptic and pointing interface
by: Karunanayaka, K., et al.
Published: (2014) -
Haptic voice recognition: Augmenting speech modality with touch events for efficient speech recognition
by: Sim, K.C.
Published: (2013) -
A 6-DOF haptic interface and its applications in CAD
by: Gao, Z., et al.
Published: (2014)