Year: 2024
Type: conference-paper
Abstract: This paper mainly discusses how to use multi-wearable sensor as human body behavior recognition to perform data acquisition. The average time consumption of active identification obtained by this method is below 0.2s, which is more efficient. Moreover, the F1-score value of this method is analyzed, which reaches 0.986. After analyzed and preprocessed the collected data, get effective data to provide creative support for artists. AIGC is applied to intelligent generate art content and then manually optimized by artists. Through the application sensor technology, artists can realize the real-time interaction experience between the audience and the art works, thus breaking the inherent boundary between the traditional art works and the audience, and then innovate the creation way of new media art and realize the human-computer interaction(HCI) of new media art.
Authors: Lijun Xu, Caixian Ye, Yiju Wang, Sui Liu, Tao Zhang
Institution: Guangzhou Xinhua University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411020731