Min-goo Kang, Journal of Internet Computing and Services, Vol. 25, No. 6, pp. 1-7, Dec. 2024
10.7472/jksii.2024.25.6.1, Full Text:  HTML
Keywords: Polar Coordinate-based Emotional Classification Codes, K_Tour Location Healing Contents, Geofence Beacon Location Recognition, MFA User Multi_factor ID Authentication

Abstract

In this paper, a platform design was presented for polar coordinate-based emotion classification, specifically aimed at enhancing OTT healing contents. The platform utilizes the BERT model to analyze emotional words in user-provided text, and maps these emotions onto a polar coordinate system (distance r, angle θ) to accurately classify emotional intensity and types. It recommends personalized healing contents tailored to individual user needs. Additionally, Wi-Fi beacons and geofencing technologies are employed to detect user locations, enabling the provision of location-based contents. The platform incorporates multi-factor authentication (MFA) methods, integrating biometric recognition, passwords, and FIDO (Fast ID Online) authentication to ensure precise user identification. This system combined emotion analysis algorithms, location detection, and user identification mechanisms to deliver personalized healing experiences while ensuring reliable user identification within OTT services.

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