Design of a Linked Outfit Recommendation System Based on Personal Gallery Data

March 31, 2026Design Works

View at Publisher

Ask AI

Bookmark

Share

Key Points

This research aims to propose a system structure and user experience design for a personalized outfit recommendation service based on smartphone gallery data.
Designed a system architecture utilizing gallery image recognition via ViT model.
Implemented clothing attributes tagging using OpenCV.
Integrated weather and schedule data for personalized recommendations.
Defined a feedback-based learning mechanism for user experiences.
Positive feedback on automatic registration of gallery images.
Users found value in recommendations integrating temperature, perceived temperature, precipitation, and TPO.
High usability and overall satisfaction were reported from the pilot evaluation conducted with 100 participants.

Pilot evaluation shows personalized outfit suggestions in fashion-tech using smartphone gallery data, indicating potential use.

No abstract yet. The journal hasn't published one we can show.

No takes yet. Share an insight, caveat, or question.

Kang et al. (2026) studied this question.

View at Publisher

Ask AI

Bookmark

Share