2024 | Yang Li, Zhicheng Qiu*, Hao Kan*, Yang Yang, Jianwen Liu, Zhaorui Liu, Wenjing Yue, Guiqiang Du, Cong Wang* and Nam-Young Kim*
This section provides supplementary material for a research article published in Advanced Science. The article, titled "A Human-Computer Interaction Strategy for an FPGA Platform Boosted Integrated ‘Perception-Memory’ System Based on Electronic Tattoos and Memristors," is authored by Yang Li, Zhicheng Qiu, Hao Kan, Yang Yang, Jianwen Liu, Zhaorui Liu, Wenjing Yue, Guiqiang Du, Cong Wang, and Nam-Young Kim. The supplementary material includes detailed circuit diagrams, experimental results, and additional figures and tables to support the research findings. Key figures cover the processing of sEMG signals, the influence of environmental factors on signal perception, testing under various conditions, and the performance of the device over multiple cycles. The supplementary table compares published electronic tattoos and memristors, and two supplementary movies demonstrate the system's capabilities in controlling a machine hand and using facial sEMG signals for emergency calls and smart home control.This section provides supplementary material for a research article published in Advanced Science. The article, titled "A Human-Computer Interaction Strategy for an FPGA Platform Boosted Integrated ‘Perception-Memory’ System Based on Electronic Tattoos and Memristors," is authored by Yang Li, Zhicheng Qiu, Hao Kan, Yang Yang, Jianwen Liu, Zhaorui Liu, Wenjing Yue, Guiqiang Du, Cong Wang, and Nam-Young Kim. The supplementary material includes detailed circuit diagrams, experimental results, and additional figures and tables to support the research findings. Key figures cover the processing of sEMG signals, the influence of environmental factors on signal perception, testing under various conditions, and the performance of the device over multiple cycles. The supplementary table compares published electronic tattoos and memristors, and two supplementary movies demonstrate the system's capabilities in controlling a machine hand and using facial sEMG signals for emergency calls and smart home control.