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Abstract
Human skin-inspired neuromorphic sensors have shown great potential in revolutionizing machines to perceive and interact with environments. Human skin is a remarkable organ, capable of detecting a wide variety of stimuli with high sensitivity and adaptability. To emulate these complex functions, skin-inspired neuromorphic sensors have been engineered with flexible or stretchable materials to sense pressure, temperature, texture, and other physical or chemical factors. When integrated with neuromorphic computing systems, which emulate the brain’s ability to process sensory information efficiently, these sensors can further enable real-time, context-aware responses. This study summarizes the state-of-the-art research on skin-inspired sensors and the principles of neuromorphic computing, exploring their synergetic potential to create intelligent and adaptive systems for robotics, healthcare, and wearable technology. Additionally, we discuss challenges in material/device development, system integration, and computational frameworks of human skin-inspired neuromorphic sensors, and highlight promising directions for future research.
Keywords
Skin-inspired sensors
/
neuromorphic computing
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system integration
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Jianfeng Sun, Chenyu Zhang, Chenxi Yang, Yunhao Ren, Binghe Ma, Weizheng Yuan, Tao Ye.
Human skin-inspired neuromorphic sensors.
Soft Science, 2025, 5(2): 18 DOI:10.20517/ss.2024.77
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