A Human‐Computer Interaction Strategy for An FPGA Platform Boosted Integrated “Perception‐Memory” System Based on Electronic Tattoos and Memristors (Adv. Sci. 39/2024)
Yang Li, Zhicheng Qiu, Hao Kan, Yang Yang, Jianwen Liu, Zhaorui Liu, Wenjing Yue, Guiqiang Du, Cong Wang, Nam‐Young Kim
Abstract
Human-Computer Interaction In the article number 2402582, Yang Li, Cong Wang, Nam-Young Kim, and co-workers propose a field programmable gate array (FPGA) platform-boosted system that enables the sensing, recognition, and memory for human-computer interaction by the combination of ultra-thin Ag/Al/Paster-based electronic tattoos and tantalum oxide/indium gallium zinc oxide-based memristors, which not only serves the disabled, enhancing human-computer interaction but also provides an alternative avenue to enhance the quality of life and autonomy of individuals with disabilities.
Topics & Concepts
Field-programmable gate arrayMemristorPerceptionComputer architectureComputer scienceEmbedded systemResistive random-access memoryEngineeringNeurosciencePsychologyElectrical engineeringVoltageAdvanced Memory and Neural ComputingCCD and CMOS Imaging Sensors