Sports Science × Pose Estimation × XR

Teaching AI to see human movement.

From sports & exercise science to AI — I build markerless human pose estimation and AI-driven movement analysis, and break down the research here and on YouTube.

MediaPipe
OpenPose
ARKit
OpenSim
Unity
Meta Quest

Subscribe on YouTube Read the blog Contact

130+YouTube videos

10+international talks

EN · 日本語bilingual content

POSE DETECTED · 98.7%

Focus areas

🧍

Human Pose Estimation

MediaPipe, OpenPose, and the latest markerless methods.

Explore →🏃

Motion Capture & Biomechanics

Sports movement analysis and validation studies.

Explore →🤖

Computer Vision & AI

AI-driven movement analysis and modeling.

Explore →🥽

XR / Metaverse

Unity & Meta Quest development.

Explore →

Latest articles

Benchmarking Sports AI — What CalTennis Reveals About Today’s Best Models2026年7月17日
CalTennis is the first large-scale sports benchmark for monocular-to-3D pose estimation: 40 players, 11M+ synchronized frames. The finding is a dissociation — relative joint angles pass, but depth and foot contact fail systematically, exactly where injury risk lives.
From Pixels to Biomechanics — 4 AI Papers Putting the Lab in Your Pocket2026年7月17日
Four 2026 papers ask whether one phone camera can replace force plates, MoCap suits and EMG: OpenCap Monocular, BioHuman, From Pixels to Newtons, and Pose-to-Biomechanics — plus why upstream pose accuracy is the ceiling on all of them.
Beyond the Lab — 3 AI Papers on Motion Capture Without Cameras or Markers2026年7月17日
Three 2026 papers on getting biomechanics out of the lab: Ultra Diffusion Poser (full-body pose from IMUs + UWB, zero cameras), biomechanics-aware markerless hand capture, and a wearable study auditing the VR reality gap — plus the open question each one leaves behind.
Meta XR SDK Setup in Unity (2026): Every Step, Including the Version Trap2026年7月17日
Set up the Meta XR SDK in Unity from scratch and get a Meta Quest project running — the right Unity version (6.3 LTS, not 6.5), the Android module, the All-in-One SDK, Oculus XR vs OpenXR, and the OVRCameraRig and interaction rig.
Does Jump Strength Predict Kick Speed? The Support-Leg Secret in Soccer2026年7月8日
Does single-leg jump strength predict soccer kick speed? In 6 amateur players, the dominant leg kicked harder (99 vs 85 km/h) — but the real surprise was that a stronger non-dominant support leg went with a faster dominant-leg kick.
How Accurate Is ARKit for Motion Capture? I Measured It Across 10 Exercises2026年7月8日
Apple’s ARKit turns an iPhone into a markerless 3D motion tracker — but how accurate is it? I tested it across 10 exercises with 11 participants. Single joints at peak flexion were within ~3°, but errors near full extension and the floor reached up to 63°.

Featured video

Profile

I’m Takashi Fukushima, a researcher and developer working across sports & exercise science, motion capture, and computer vision. My focus is markerless human pose estimation and AI-driven movement analysis, alongside XR development with Unity and Meta Quest. I publish peer-reviewed research and break it down here and on my channel.

Human Pose Estimation (MediaPipe, OpenPose, latest methods)
Motion Capture & Sports Biomechanics
Computer Vision & AI movement analysis
XR / Metaverse development (Unity & Meta Quest)

Achievements

Positions & Affiliations

Specially Appointed Assistant Professor, Education Incubation Center, Tokyo Gakugei University
Executive Board Member, Asia Council on Exercise & Sports Science (ACESS)
Executive Board Member & Secretary, Global Metaverse Laboratory
CTO, Aletheia LLC
International Technological Partner, Sports Performance Analysis Association in Bharat (SPAAB) — Capacity Building Sessions; HALO (Human Analysis of Locomotor Optimization) Sessions 1／2／3

Commissioned & Funded Projects

FY2024 — Japan Sports Agency, Support Project for Reiwa Japanese-Style School Physical Education: enriching PE classes in the GIGA School environment (Theme 1) and inclusive PE classes for children with and without disabilities (Theme 2) — Secretary-General
FY2025 — MEXT commissioned project: Promoting the Use of Advanced Technology and Education Data for Next-Generation Schools (demonstration project on cutting-edge technology and education data) — Research Specialist (Engineer)
FY2025 — Support Project for Reiwa Japanese-Style School Physical Education (improving teaching methods for inclusive PE classes) — Deputy Research Director
FY2026 — MEXT commissioned project: Promotion of Moral Education that Fosters the Ability to Put One’s Way of Life into Practice — Specially Appointed Assistant Professor