Bioinspired Artificial Motion Sensory System for Rotation Recognition and Rapid Self-Protection,ACS Nano

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Bioinspired Artificial Motion Sensory System for Rotation Recognition and Rapid Self-Protection
ACS Nano ( IF 15.8 ) Pub Date : 2022-10-21 , DOI: 10.1021/acsnano.2c08328
Zhenjia Chen ₁ , Rengjian Yu ₁ , Xipeng Yu ₁ , Enlong Li ₁ , Congyong Wang _{2,

3} , Yaqian Liu ₁ , Tailiang Guo _{1,

4} , Huipeng Chen _{1,

4}

Affiliation

As one of the most common synergies between the exteroceptors and proprioceptors, the synergy between visual and vestibule enables the human brain to judge the state of human motion, which is essential for motion recognition and human self-protection. Hence, in this work, an artificial motion sensory system (AMSS) based on artificial vestibule and visual is developed, which consists of a tribo-nanogenerator (TENG) as a vestibule that can sense rotation and synaptic transistor array as retina. The principle of temporal congruency has been successfully realized by multisensory input. In addition, pattern recognition results show that the accuracy of multisensory integration is more than 15% higher than that of single sensory. Moreover, due to the rotation recognition and visual recognition functions of AMSS, we realized multimodal information recognition including angles and numbers in the spiking correlated neural network (SCNN), and the accuracy rate reached 89.82%. Besides, the rapid self-protection of a human was successfully realized by AMSS in the case of simulated amusement rides, and the reaction time of multiple motion sensory integration is only one-third of that of a single vestibule. The development of AMSS based on the synergy of simulated vision and vestibule will show great potential in neural robot, artificial limbs, and soft electronics.

中文翻译：

用于旋转识别和快速自我保护的仿生人工运动传感系统

作为外感受器和本体感受器之间最常见的协同作用之一，视觉和前庭的协同作用使人脑能够判断人体运动状态，这对于运动识别和人类自我保护至关重要。因此，在这项工作中，开发了一种基于人工前庭和视觉的人工运动感觉系统 (AMSS)，该系统由作为可以感知旋转的前庭的摩擦纳米发电机 (TENG) 和作为视网膜的突触晶体管阵列组成。时间一致性原则已通过多感官输入成功实现。此外，模式识别结果表明，多感官整合的准确率比单感官提高了15%以上。而且由于AMSS的旋转识别和视觉识别功能，我们在尖峰相关神经网络（SCNN）中实现了包括角度和数字在内的多模态信息识别，准确率达到了89.82%。此外，AMSS在模拟游乐设施中成功实现了人的快速自我保护，多运动感觉统合的反应时间仅为单一前庭的三分之一。开发基于模拟视觉和前庭协同作用的AMSS，将在神经机器人、假肢、软电子等领域展现出巨大潜力。而多重运动感觉统合的反应时间仅为单一前庭的三分之一。开发基于模拟视觉和前庭协同作用的AMSS，将在神经机器人、假肢、软电子等领域展现出巨大潜力。而多重运动感觉统合的反应时间仅为单一前庭的三分之一。开发基于模拟视觉和前庭协同作用的AMSS，将在神经机器人、假肢、软电子等领域展现出巨大潜力。

更新日期：2022-10-21

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