Flexible artificial Si-In-Zn-O/ion gel synapse and its application to sensory-neuromorphic system for sign language translation
Seyong Oh, Jeong‐Ick Cho, Byeong Hyeon Lee, Seunghwan Seo, Ju-Hee Lee, Hyongsuk Choo, Keun Heo, Sang Yeol Lee, Jin-Hong Park
Abstract
times) without any degradation. Last, a sensory-neuromorphic system for sign language translation, which consists of stretchable resistive sensors and flexible artificial synapses, is designed and successfully evaluated via training and recognition simulation using hand sign patterns obtained by stretchable sensors (maximum recognition rate, 99.4%).
Topics & Concepts
Materials scienceNeuromorphic engineeringOptoelectronicsComputer scienceArtificial neural networkArtificial intelligenceAdvanced Memory and Neural ComputingConducting polymers and applicationsNeuroscience and Neural Engineering