EMOTION-AWARE CLOTHING DESIGN: INTEGRATING SENTIMENT ANALYSIS WITH GENERATIVE FASHION SKETCHING
DOI:
https://doi.org/10.29121/shodhkosh.v6.i4s.2025.6944Keywords:
Emotion-Aware Clothing, Sentiment Analysis, Generative Fashion Sketching, Personalized Fashion, Deep LearningAbstract [English]
The fashion business is increasingly considering how technology and design may cooperate to create customised, sensitive garments that fit with people's emotions. Combining mood research with generative fashion sketching, this article offers a fresh approach to create clothing responsive to people's emotions. The system determines how the user is feeling by use of mood analysis models examining text, voice, or facial replies in real time. This allows fashion designs to be altered to reflect or enhance these emotions. The generative fashion drawing part uses deep learning methods, especially Generative Adversarial Networks (GANs), to make clothes models that match the emotional information given. When these technologies are put together, they make it possible to make one-of-a-kind, flexible clothing items that can react to a person's mood and also predict their need for personalised style. This innovation gives the design process a new degree of emotional intelligence, which enables designers to create garments that enable wearers to feel more linked to the ones who wear them. Furthermore, it offers fashion firms fresh avenues to interact with consumers more personally, bridging the gap between their behaviour and their use of technology. Focussing on what this implies for the future of personalised fashion, the article discusses the fundamental concepts, challenges, and prospective applications of developing garments that are conscious of how individuals feel.
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Copyright (c) 2025 Jasmeet Kaur, Khushboo, Garishma Jain, Mukesh Govindrao Jadhav, Dr. Priti Shende, Dr. Jambi Ratna Raja Kumar
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