SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3997-9
Contactless human-machine interaction (HMI) is rapidly evolving, yet it remains constrained by the latency, redundancy, and power consumption inherent in conventional frame-based vision sensors. While bio-inspired event-driven sensors offer a low-power alternative, existing architectures are often complex or fail to accurately encode the magnitude of light intensity changes. Herein, we report a solution-processed, two-terminal event-driven sensory device based on CuIn(Se,S)2 colloidal quantum dots (QDs) integrated with an Sb-doped TiO2 layer. Unlike traditional dynamic vision sensors (DVS), this device exhibits a transient photoresponse that encodes both the polarity and the magnitude of light intensity variations into the output current amplitude. This preservation of magnitude information significantly enhances the feature extraction capability, leading to faster convergence and superior clustering performance in gesture recognition. Based on these unique optoelectronic properties, we constructed a hierarchical HMI system that synergizes the strengths of event-based and frame-based sensing. The system utilizes the event-driven sensor for low-latency gesture control of an unmanned aerial vehicle (UAV) and a frame-based sensor for high-precision gaze control of an unmanned ground vehicle (UGV). The proposed system achieves a gesture recognition accuracy of more than 92.5% while substantially reducing data redundancy, offering a promising strategy for efficient, robust, and low-cost intelligent interaction systems.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3796-8
The Artificial Intelligence of Things (AIoT) demands electronic systems that seamlessly integrate machine learning with ubiquitous sensing, yet conventional rigid and brittle silicon components cannot satisfy the mechanical compliance required for embodied intelligence and healthcare applications. Flexible electronics, representing a 'More than Moore' pathway, introduce a new mechanical dimension to overcome these limitations. Since Crabb and Treble's 1967 thinned crystalline silicon photovoltaic modules for satellites and Brody's thin-film field-effect transistor with a bending radius of approximately 1.6 mm, the field has evolved through conductive polymers, organic semiconductors, amorphous silicon, and compound semiconductor thin films. This special issue presents recent breakthroughs spanning novel material synthesis to intelligent system design. Xu et al. developed an amino-modified graphdiyne platform for ultra-fast respiratory sensing, enabling sleep apnea detection. Zhou et al. created an all-textile pressure sensor from polypyrrole, free of metallic components, offering superior biocompatibility, biodegradability, and breathability, and integrated with deep-learning for health monitoring and human-machine interaction. Wang et al. demonstrated a deep-learning approach to predict and tailor electrical properties of organic transistors. Li et al. developed a waterproof resin for a robust deep-sea pressure sensor, addressing extreme hydrostatic pressure and corrosive environments. Three review articles complement the issue, covering flexible wearable bioelectronics for electrocardiography (ECG) monitoring, olfactory displays, and intelligent, flexible, wearable systems. Collectively, these contributions highlight the distinct mechanical compliance and biocompatibility of flexible electronics, positioning them as critical enablers for next-generation biomedical engineering and sustainable electronics.