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Profile

Name: Zeng Zhun

Title: Undergraduate student in Geographic Information Science

Affiliation: South China Agricultural University (Double First-Class University)

Focus: Indoor pedestrian positioning and navigation, geographic information systems, algorithm design, and agricultural non-point source pollution

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Publications

Academic papers published during undergraduate studies.

Publications

An accurate smartphone-based step-counting algorithm based on human walking acceleration variation patterns

Expert Systems with Applications · 2027 · Article number 133800

Co-first author · CAS Tier 1 Top (2025) · Xinkui Tier 1 Top (2026) · JCR Q1 (2026) · DOI

A smartphone-based step-counting algorithm for indoor PDR that uses human walking acceleration variation patterns to reduce missed and false counts during variable-speed walking and start-stop scenarios.

Enhanced Indoor Scene Recognition and Localization for Pedestrian Using Minimum Matching Group of Pedestrian Steps

IEEE Transactions on Instrumentation and Measurement, 2026

Fourth author

A paper proposing an indoor scene recognition and localization framework based on the Minimum Matching Group of Pedestrian Steps (MMG-PS), with multi-source sensor fusion and scene-aware AP selection evaluated across several indoor environments.