Abstract
In recent years, there has been a growing prevalence of single-person households, leading to an increased demand for pets as a source of emotional stability and stress relief. However, the social culture characterized by long working hours has resulted in a significant rise in the number of pets being left unattended at home. To address this issue, pet technology devices have emerged, however, research on more effective methods for pet management remains limited. In this paper, we propose an AI-based pet care robot system that leverages voice recognition technology for real-time pet management. The proposed pet care robot system incorporates natural language processing (NLP) through speech recognition to efficiently perform its functions. By integrating existing embedded-based systems such as pet tech devices into an AI robot environment and evaluating their performance, we demonstrate a mitigation of the pet management problem associated with neglected pets.
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Following are results of a study on the “University innovation” project, supported by the Ministry of Education and National Research Foundation of Korea.
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Kim, GU., Lee, DH., Choi, BJ. (2024). Voice-Activated Pet Monitoring: An Integrated System Using Wit.ai and Jetbot for Effective Pet Management. In: Choi, B.J., Singh, D., Tiwary, U.S., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2023. Lecture Notes in Computer Science, vol 14531. Springer, Cham. https://doi.org/10.1007/978-3-031-53827-8_33
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DOI: https://doi.org/10.1007/978-3-031-53827-8_33
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