PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 22, 2026International Journal of Business Intelligence and Data Mining0 citationsOpen Access

Real-time lightweight pose estimation for sports motion analysis on mobile and edge platforms

HWHaibo WangNLNingning LiCLChao Liu

Key Points

  • This research aims to develop and validate a lightweight pose estimation algorithm for analyzing sports motion in real-time.
  • Developed a lightweight pose estimation algorithm suitable for mobile and edge computing platforms.
  • Conducted performance evaluations under various conditions to test real-time processing ability.
  • Implemented tests within sports scenarios to gather quantitative analysis data.
  • Achieved an accuracy of 92% in real-time pose estimation in sports applications.
  • Processing time optimized to under 50ms per frame on mobile devices.
  • User feedback indicates improved analysis and insights during sports training sessions.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff33bd674f7c03778bbd0https://doi.org/10.1504/ijbidm.2026.10078556
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Visual depth models coupled with 3D pose estimation for sports body training evaluation2026
  2. 2Wireless Inertial Motion Capture System and Pose Trajectory Fusion Algorithm for Animation and Film Design2026
  3. 3AI-driven communication networks for real-time sports analytics and fan engagement in edge-IoT environments2026
  4. 4Deep learning-based football training movement analysis and penalty feedback research2026
  5. 5Dynamic scene motion target segmentation method for physical education2026