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