LUNA - A Bilingual Virtual Assistant for Windows with Voice Recognition Intelligence Using AI

The study focuses on the LUNA paradigm, a smart personal assistant program specifically designed for Windows computers. LUNA provides an intuitive interface where users can communicate with their computers via both keyboard input and voice commands. This dual input method enhances accessibility and user convenience for performing a wide range of tasks. The assistant streamlines daily activities such as casual conversation, web searches using search engines like Bing, Google, or Yahoo, watching movies, checking the weather and setting reminders for events or tasks. A significant feature of LUNA is its potential to assist individuals with speech or visual impairments, as it employs Natural Language Processing (NLP) to comprehend and respond to natural voice commands. This makes it particularly useful for mute or visually impaired users, offering them greater independence in interacting with their computers. The assistant's ability to understand and process natural speech enhances the user experience, allowing for seamless task execution through voice searches, which are notable for their speed and efficiency. Additionally, LUNA supports multilingual input, making it adaptable to a variety of languages, thereby broadening its usability across different linguistic contexts.

Authors

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910914
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LUNA - A Bilingual Virtual Assistant for Windows with Voice Recognition Intelligence Using AI

A. Uma, M Varun, Rashmi Rekha Borah, J. Mothiga Shivani
Robotics and Automated Systems
article

LUNA - A Bilingual Virtual Assistant for Windows with Voice Recognition Intelligence Using AI

A. Uma, M Varun, Rashmi Rekha Borah, J. Mothiga Shivani
article en

Abstract

The study focuses on the LUNA paradigm, a smart personal assistant program specifically designed for Windows computers. LUNA provides an intuitive interface where users can communicate with their computers via both keyboard input and voice commands. This dual input method enhances accessibility and user convenience for performing a wide range of tasks. The assistant streamlines daily activities such as casual conversation, web searches using search engines like Bing, Google, or Yahoo, watching movies, checking the weather and setting reminders for events or tasks. A significant feature of LUNA is its potential to assist individuals with speech or visual impairments, as it employs Natural Language Processing (NLP) to comprehend and respond to natural voice commands. This makes it particularly useful for mute or visually impaired users, offering them greater independence in interacting with their computers. The assistant's ability to understand and process natural speech enhances the user experience, allowing for seamless task execution through voice searches, which are notable for their speed and efficiency. Additionally, LUNA supports multilingual input, making it adaptable to a variety of languages, thereby broadening its usability across different linguistic contexts.

Vellore Institute of Technology University (IN)
Quality Education
Openalex Percentile: Top 65%
Robotics and Automated Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

LUNA - A Bilingual Virtual Assistant for Windows with Voice Recognition Intelligence Using AI — A. Uma, M Varun, et al. · (2024) | TGRS Research Map | TGRS