Work

ARIELLE: AR-based Independent and Experiential Language Learner on the Edge

Year: 2024

Type: conference-paper

Source: IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)

DOI: 10.1109/apccas62602.2024.10808687

Authors: Juncheng Man, Lin Shang Hong, Ellia Tio Shu Yi, Rajesh C. Panicker

Institution: National University of Singapore

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W4405846509

FWCI:

Cites: 8

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Related to: 10