Papers
3
Total Citations
178
H-Index
3
About
He Xu is a researcher whose work sits at the intersection of indoor positioning systems, wireless sensing technologies, and human-action recognition. His most influential contribution, the 2017 paper "An RFID Indoor Positioning Algorithm Based on Bayesian Probability and K-Nearest Neighbor," has garnered an impressive 163 citations, establishing him as a notable voice in the field of location-aware computing. This work addressed a critical limitation of conventional GPS technology — its inability to function reliably in indoor environments — by developing a sophisticated probabilistic algorithm that combines Bayesian inference with K-nearest neighbor classification to achieve accurate indoor localization using RFID technology. Beyond positioning, Xu has demonstrated a broader interest in smart sensing systems. His work on RFID-based human action recognition explores alternatives to computationally expensive visual recognition methods, making strides toward more efficient solutions for smart home applications, human-computer interaction, and robotics. He has also explored practical implementations in wireless robotics and remote surveillance using platforms like Raspberry Pi. Taken together, Xu's research reflects a consistent drive to bridge the gap between emerging wireless technologies and real-world intelligent systems, contributing meaningfully to the growing field of the Internet of Things.
Research Focus
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