Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

ABSTRACT Recent advancements in bioinspired vision systems have expanded the capabilities of wearable sensors and electronics, enabling a closer integration between human perception and digital health interfaces. This review explores how visual augmentation technologies, inspired by compound eyes, curved retinas, and light‐adaptive mechanisms, are being translated into flexible, skin‐conformal, and mechanically adaptive healthcare platforms. These bioinspired systems not only enhance the field of view (FoV), depth perception, and dynamic adaptation, but also enable interactive and intelligent functionality when embedded in wearable form factors, such as soft sensors, optical skins, and exoskeletal frameworks. We further analyze the underlying materials, structural architectures, and sensory modalities that enable such integration and highlight their applications in artificial intelligence (AI) assisted rehabilitation, remote health monitoring, and human‐machine collaborative systems. Despite remarkable progress, challenges remain in ensuring long‐term biocompatibility, real‐time data processing, and system‐level stability. This review concludes by identifying emerging opportunities to advance the convergence of bioinspired optics, neuromorphic sensing, and AI‐based digital healthcare toward next‐generation human‐machine augmentation.