Yapay Zekâ Destekli Akıllı Tekstiller: Bibliyometrik ve Tematik Bir Analiz

Öz

Yapay zekânın (YZ) akıllı tekstillere entegrasyonu, giyilebilir teknolojilerde gerçek zamanlı izleme, kişiselleştirilmiş geri bildirim ve gelişmiş işlevsellik sunarak sağlık, spor ve çevresel izleme gibi alanlarda yeni fırsatlar yaratmaktadır. Ancak enerji yönetimi, dayanıklılık ve veri gizliliği gibi zorluklar nedeniyle bu teknolojiler çoğunlukla prototip aşamasında kalmaktadır. Bu çalışma, 2015 2025 yılları arasında Web of Science (WoS) veri tabanında yayımlanan YZ destekli akıllı tekstillere ilişkin literatürü bibliyometrik ve tematik açıdan analiz etmektedir. Toplam 970 yayının incelendiği araştırmada, VOSviewer 1.6.20 ile bibliyometrik analiz yapılmış, atıf sayısına göre seçilen 20 makale ise nitel içerik analizine tabi tutulmuştur. Bulgular, 2018 sonrası yayın sayısında hızlı bir artış olduğunu, özellikle Çin (258 yayın) ve ABD’nin (209 yayın) alanda öncü konumda bulunduğunu ve çalışmaların ağırlıklı olarak sağlık takibi, aktivite tanıma, giyilebilir sensör optimizasyonu ve derin öğrenme tabanlı anomali tespiti üzerine yoğunlaştığını göstermektedir. Tematik analiz sonucunda sekiz temel araştırma odağı belirlenmiş olup, elde edilen bulgular YZ destekli akıllı tekstillerin sürdürülebilirlik, sağlık izleme ve kişiselleştirilmiş bakım alanlarında yüksek dönüştürücü potansiyele sahip olduğunu ortaya koymaktadır.

Anahtar Kelimeler

• Akıllı tekstiller
• Yapay zeka
• Giyilebilir sensörler
• Derin öğrenme
• İnsan-makine arayüzü

AI Enabled Smart Textiles: A Bibliometric and Thematic Analysis

Öz

The integration of artificial intelligence (AI) into smart textiles has created new opportunities in wearable technology, enabling real-time monitoring, personalized feedback, and enhanced functionality across domains such as healthcare, sports, and environmental sensing. However, challenges related to power management, durability, and data privacy have kept most of these technologies at the prototype stage. This study conducts a comprehensive bibliometric and thematic analysis of the AI-enabled smart textile literature published between 2015 and 2025 in the Web of Science (WoS) database. A total of 970 publications were examined, with bibliometric mapping performed using VOSviewer 1.6.20 and qualitative content analysis applied to the 20 most-cited articles. The findings reveal a sharp increase in publications after 2018, with China (258 publications) and the United States (209 publications) leading global scientific output. Research trends predominantly focus on health monitoring, activity recognition, wearable sensor optimization, and deep learning-based anomaly detection. Thematic analysis identified eight primary research clusters, and the results highlight the transformative potential of AI-integrated smart textiles in sustainability, health monitoring, and personalized care, paving the way for the transition from laboratory prototypes to real-world applications.

Anahtar Kelimeler

• Smart textiles
• Artificial intelligence
• Wearable sensors
• Deep learning
• Human-machine interface

Kaynakça

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