ADVANCED SMART TEXTILES AND INNOVATIVE FASHION TECHNOLOGIES FOR WEARABLE ELECTRONICS, REAL-TIME HEALTH MONITORING, HUMAN–MACHINE INTERACTION, AND INTELLIGENT CONSUMER APPLICATIONS

Abstract

The convergence of advanced materials science, flexible electronics, and artificial intelligence has enabled the development of next-generation smart textiles capable of seamless integration into wearable electronics, continuous health monitoring, human–machine interaction, and intelligent consumer applications. Conventional wearable systems remain limited by issues of comfort, durability, washability, and long-term operational stability. To address these challenges, this study presents an integrated smart textile framework based on a four-phase architecture comprising fabrication, multi-modal sensing integration, edge AI-enabled processing, and application deployment with comprehensive system evaluation.

The proposed platform integrates conductive yarn-based electrodes, flexible piezoelectric and triboelectric energy harvesting systems, and thermoplastic polyurethane encapsulation to ensure robust performance under real-world conditions including repeated mechanical deformation and machine washing at 60°C. Experimental validation involving 120 participants over an eight-week study demonstrates high system performance, achieving ECG accuracy of 97.4%, PPG accuracy of 96.8%, EMG accuracy of 94.2%, and gesture recognition accuracy of 96.4% across eight gesture classes. The system maintains 93.6% signal quality retention after 100 wash cycles, supports mechanical elongation up to 150%, and delivers 168 hours of operational battery life at only 8.4 mW power consumption, representing a significant improvement in energy efficiency over prior state-of-the-art systems. User evaluation further confirms strong real-world applicability, with comfort scores of 7.8/10, usability of 8.5/10, and adoption intent of 81.1%, demonstrating its viability for healthcare, industrial safety, human–machine interfaces, and smart fashion applications.