Yuan Chengcheng

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Yuan Chengcheng is a researcher focused on the intersection of human-computer interaction and sensor-based systems, with a particular emphasis on human action recognition using RFID technology. His most cited work, "Design and implementation of action recognition system based on RFID sensor" (2017), addresses a critical challenge in the era of big data: the overwhelming volume of visual data required for traditional action recognition. By leveraging RFID sensors, Yuan proposes a more efficient, data-light alternative for applications in smart homes, virtual training, gaming, and robotics. This contribution helps bridge the gap between practical deployment and the computational constraints of big data environments. Although his citation count is modest, his work represents an important step toward scalable, non-visual interaction systems. Yuan’s research is particularly relevant for students and engineers seeking to develop low-cost, privacy-preserving sensing solutions that can operate effectively without the heavy infrastructure of camera-based systems. His focus on RFID-based recognition offers a promising path for more accessible and responsive human-machine interfaces.