Welcome to Francis Academic Press

International Journal of New Developments in Engineering and Society, 2024, 8(5); doi: 10.25236/IJNDES.2024.080515.

Design and application of intelligent companion system based on Unity Sentis technology

Author(s)

Qi Zhang, Ning Mao, Jiayi Shen, Jingxiu Li, Guwei Li

Corresponding Author:
Guwei Li
Affiliation(s)

Artificial Intelligence College, Zhejiang Dongfang Polytechnic, Wenzhou, China

Abstract

With the development of society and the improvement of medical standards, the problem of population aging is becoming increasingly serious. More and more elderly people are facing the difficulties of loneliness, solitude and lack of companionship. Especially for the elderly who live alone, their companionship problem is even more prominent. Paying attention to the companionship problem of the elderly who live alone is not only related to the quality of life and happiness of the elderly, but also related to the harmony and stability of society. In order to solve the companionship problem of the elderly who live alone, an intelligent companionship system based on Unity Sentis technology is proposed. It can make corresponding reactions according to users' behaviors and emotional states, grow together with users, make them feel care and warmth, help relieve stress and anxiety, and at the same time avoid users from having feelings of loneliness and depression, and improve users' quality of life.

Keywords

Unity Sentis, companion, Module

Cite This Paper

Qi Zhang, Ning Mao, Jiayi Shen, Jingxiu Li, Guwei Li. Design and application of intelligent companion system based on Unity Sentis technology. International Journal of New Developments in Engineering and Society (2024) Vol.8, Issue 5: 98-104. https://doi.org/10.25236/IJNDES.2024.080515.

References

[1] A. M. Preston and P. R. Padala, “Virtual reality on the verge of becoming a reality for geriatric research,” International Psychogeriatrics, vol. 34, no. 2, pp. 98-99, 2021.

[2] Y. Wang, “Hybrid efficient convolution operators for visual tracking,” Journal on Artificial Intelligence, vol. 3, no. 2, pp. 68–72, 2021.

[3] M. A. Nauman and M. Shoaib, “Identification of anomalous behavioral patterns in crowd scenes,” Computers, Materials & Continua, vol. 71, no. 1, pp. 929–939, 2022.

[4] Y. Dai and Z. Luo, “Review of unsupervised person re-identification,” Journal of New Media, vol. 3, no. 4, pp. 132–136, 2021.

[5] S. Mahmood, “Review of internet of things in different sectors: recent advance, technologies, and challenges,” Journal of Internet of Things, vol. 3, no. 1, pp. 22–26, 2021.

[6] S. W. Han and D. Y. Suh, “A 360-degree panoramic image inpainting network using a cube map,” Computers, Materials & Continua, vol. 66, no. 1, pp. 215–228, 2021.

[7] R. Wazirali, “Aligning education with vision 2030 using augmented reality,” Computer Systems Science and Engineering, vol. 36, no. 2, pp. 342–351, 2021.

[8] M. Younas, A. Shukri and M. Arshad, “Cloud-based knowledge management framework for decision making in higher education institutions,” Intelligent Automation & Soft Computing, vol. 31, no. 1, pp. 86–99, 2022.

[9] S. Xia, “Application of Maya in film 3D animation design,” in 2011 3rd International Conference on Computer Research and Development, Shanghai, China, pp. 359–360, 2011.

[10] G. Vigueras and J. M. Orduña, “On the use of GPU for accelerating communication-aware mapping techniques,” The Computer Journal, vol. 59, no. 6, pp. 838–847, 2016.