Tracking Performance Optimization

Tracking Performance Optimization is a methodological framework within virtual reality performance optimization that specifically enhances the accuracy, latency, and robustness of motion tracking systems by systematically minimizing computational overhead and sensor-derived errors in real-time user pose estimation.

195

Publications

9.2K

Citations

536

Authors

237

Institutions

Publications per year

2017–2026

87

Authors

536

  1. XJ
    Xiaowei Jiang

    China University of Geosciences, China

    5 publications · 102 citations

    5

    h-index

  2. HL
    Huchuan Lu

    Dalian University of Technology, China

    4 publications · 271 citations

    5

    h-index

  3. DW
    Dong Wang

    Dalian University of Technology, China

    4 publications · 271 citations

    5

    h-index

  4. ZG
    Zhi‐Hong Guan

    Huazhong University of Science and Technology, China

    4 publications · 85 citations

    4

    h-index

  5. XZ
    Xisheng Zhan

    Hubei Normal University, China

    4 publications · 105 citations

    4

    h-index

1–5 of 536

Venues

  1. IEEE Transactions on Signal Processing

    9 publications · 663 citations

    9

    h-index

  2. 7

    h-index

  3. arXiv (Cornell University)

    Repository · 7 publications · 173 citations

    7

    h-index

  4. IEEE Transactions on Industrial Electronics

    4 publications · 341 citations

    4

    h-index

  5. IEEE Transactions on Industrial Informatics

    2 publications · 88 citations

    3

    h-index

1–5