Papers
1
Total Citations
12
H-Index
1
About
Yawen Ji is a researcher whose work lies at the intersection of wireless body sensor networks, bio-inspired optimization algorithms, and dynamical system configuration. Their most notable contribution is the development of a novel approach to attitude configuration in wearable wireless body sensor networks, leveraging the beetle antennae search (BAS) strategy—a biologically inspired optimization algorithm. This work, published in 2020, has garnered 12 citations, demonstrating its relevance in advancing efficient, real-time sensor network calibration and motion tracking. By applying the BAS algorithm to dynamically configure sensor attitudes, Ji has addressed critical challenges in wearable technology, including energy efficiency and accuracy in human motion capture. This research holds promise for applications in healthcare monitoring, rehabilitation, and human-computer interaction. Ji’s work exemplifies how nature-inspired algorithms can solve complex engineering problems, offering a fresh perspective on sensor network optimization. Their contributions continue to inspire further exploration into bio-mimetic approaches for wireless body area networks, making Ji a notable figure in the evolving field of wearable sensing and intelligent systems.
Research Focus
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Top Papers
- 1