Why Markerless Motion Capture Matters: A Founder’s Case for Camera-Based Movement Analysis
Markerless motion capture matters because useful movement data has to survive real rooms, real schedules, and real operators.
Read Full ArticleExploring the future of human motion analysis through clinical research and technical innovation.
Markerless motion capture matters because useful movement data has to survive real rooms, real schedules, and real operators.
Read Full ArticleClinical adoption depends on repeatability, reporting clarity, staff confidence, and explicit evidence boundaries, not only impressive demos.
Read Full ArticleSingle-camera joint angle analysis depends on pose estimation, kinematic constraints, temporal consistency, and protocol transparency.
Read Full ArticleThe next shift is not only cheaper capture. It is movement data becoming repeatable infrastructure for teams that make daily decisions.
Read Full ArticleA useful running form app should turn camera-based movement signals into trends, context, and next-step decisions, not a vanity score.
Read Full ArticleLongevity care needs objective functional signals, because gait, balance, strength, and variability reveal how the body behaves over time.
Read Full ArticleThe founder story behind HoloMotion is about translating research discipline into usable, evidence-aware movement analysis products.
Read Full ArticleA practical guide to interpreting RMSE claims for markerless motion capture workflows.
Read Full ArticleHow HoloMotion compares markerless RGB-D motion analysis with optical reference workflows under documented capture conditions.
Read Full ArticleFrom injury recovery to return-to-running, scientific rehabilitation assessment is essential. This guide covers ROM testing, strength evaluation, and gait analysis for safe sports return.
Read Full Article