Title: Immersive human-computer interaction system combining AI and augmented reality technologies

Authors: Hui Wang; Ling Qin; Xinming Gu

Addresses: Department of Art Design, Jiangsu Vocational College of Information Technology, Wuxi, Jiangsu, China ' Department of Digital Arts, Wuxi Vocational College of Science and Technology, Wuxi, Jiangsu, China ' Department of Art Design, Jiangsu Vocational College of Information Technology, Wuxi, Jiangsu, China

Abstract: Integrating Artificial Intelligence (AI) and Augmented Reality (AR) technologies can enhance user experience. Firstly, the Simultaneous Localisation and Mapping (SLAM) model is used to complete scene modelling. Then, the Generative Adversarial Network (GAN) model is utilised to generate virtual objects or scenes. The long short-term memory (LSTM) model is used to analyse user action data and predict user behaviour. Finally, the k-means clustering algorithm is adopted to analyse user preferences. The LSTM model predicts the acceleration data [1.5, 1.2, 1.1] at time t=10. The k-means clustering method divides the six users into two groups - the users in category 1 like high-intensity exercises, and the users in category 2 like low-intensity exercises.

Keywords: immersive human-computer interaction system; simultaneous localisation and mapping model; long short-term memory; generative adversarial network; k-means clustering algorithm.

DOI: 10.1504/IJCAT.2025.149870

International Journal of Computer Applications in Technology, 2025 Vol.77 No.1/2, pp.63 - 73

Received: 19 Feb 2025
Accepted: 24 May 2025
Published online: 14 Nov 2025 *

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