An Innovative Research on the Integration of Literary Aesthetic Artistic Embodiment and Embedded AI System-on-Chip Based on Virtual Reality Technology

The artistry of literary aesthetics carries the core of the artist’s thought expression and is an important connotation to attract visitors. With the pursuit of personalized and diversified artistry by visitors, the traditional way of presenting artwork can no longer meet the needs of visitors. Therefore, this paper integrates virtual reality technology and embedded AI on-chip system to construct the artistic embodiment model of literary aesthetics, and realizes the purpose of enhancing visitors’ sensory feelings through virtual reality technology. At the same time, the embedded AI on-chip system also analyzes visitors’ preferences and behavioral data to provide artists with richer artwork expression elements. The experimental results show that the model system in this paper can optimize the artwork under the condition of maintaining the original characteristics of the artwork, and strengthen the artistic performance ability of the artwork, especially in terms of artwork innovation, emotional expression of newness and diversity of performance, which has been significantly improved. In addition, the model system in this paper can better integrate virtual reality technology and embedded AI system-on-a-chip data, shorten the system’s processing of artwork interaction data and response time, improve the interaction recognition rate, and enhance the completeness and timeliness of artistic expression.

Authors

Institutions

Publication Details

Journal
International Journal of High Speed Electronics and Systems
Published
2024-11-28
DOI
https://doi.org/10.1142/s0129156425400750
Primary Topic
Innovative Educational Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Innovative Research on the Integration of Literary Aesthetic Artistic Embodiment and Embedded AI System-on-Chip Based on Virtual Reality Technology

Yuzhi Li
International Journal of High Speed Electronics and Systems
Innovative Educational Techniques
article

An Innovative Research on the Integration of Literary Aesthetic Artistic Embodiment and Embedded AI System-on-Chip Based on Virtual Reality Technology

Yuzhi Li
article en

Abstract

The artistry of literary aesthetics carries the core of the artist’s thought expression and is an important connotation to attract visitors. With the pursuit of personalized and diversified artistry by visitors, the traditional way of presenting artwork can no longer meet the needs of visitors. Therefore, this paper integrates virtual reality technology and embedded AI on-chip system to construct the artistic embodiment model of literary aesthetics, and realizes the purpose of enhancing visitors’ sensory feelings through virtual reality technology. At the same time, the embedded AI on-chip system also analyzes visitors’ preferences and behavioral data to provide artists with richer artwork expression elements. The experimental results show that the model system in this paper can optimize the artwork under the condition of maintaining the original characteristics of the artwork, and strengthen the artistic performance ability of the artwork, especially in terms of artwork innovation, emotional expression of newness and diversity of performance, which has been significantly improved. In addition, the model system in this paper can better integrate virtual reality technology and embedded AI system-on-a-chip data, shorten the system’s processing of artwork interaction data and response time, improve the interaction recognition rate, and enhance the completeness and timeliness of artistic expression.

International Journal of High Speed Electronics and Systems
Sichuan University of Science and Engineering (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Innovative Educational Techniques
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.