AI-integrated wearable strain sensors: advances in e-skin, robotics, and personalized health monitoring

Abstract

Due to their growing adaptability, there has been an increased awareness and interest in artificial intelligence and wearable strain sensors across various fields of study and industry. Researchers are developing new instruments to investigate novel gadgets, electronic skins, wearable wellness care, and robotics for precise detection needs. Machine learning and AI techniques are gaining attention for their ability to enhance analytical procedures. This review examines the benefits of using AI techniques and wearable sensors to modernize and optimize data analysis tasks. Developing wearable strain sensor technology is crucial in overcoming the current challenges and achieving breakthroughs in nanotechnology. Wearables with AI have the potential to enhance early detection, intelligent diagnosis, and lifelong monitoring for improved well-being. There's great potential in wearable strain sensors, particularly those with flexible features such as stretchability and high detection power. The growing interest in skin-attachable wearable devices is fueled by their diverse applications in human–machine systems, healthcare, and AI. This review provides a brief overview of flexible wearable strain sensing systems, existing challenges, and prospects.