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

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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.

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Motion Capture & Biomechanics

Sports movement analysis and validation studies.

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Computer Vision & AI

AI-driven movement analysis and modeling.

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XR / Metaverse

Unity & Meta Quest development.

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Latest articles

Two Ways to Build Sports AI — 427 Teams vs. One Device2026年7月23日
Two 2026 papers take opposite bets: SoccerNet pools 427 teams and 1,129 submissions onto one shared benchmark, while a skateboarding study checks one commercial IMU against lab references — with mixed results.
Predicting Injury Before It Happens — Where AI + Wearables Actually Stand2026年7月23日
Two reviews and one study show the distance between what AI-plus-wearables promises for injury prediction and what exists: a good classifier of expert judgment (0.86 AUC) — not a validated predictor of a future injury.
How Good Is Camera-Based Assessment? — 3 Studies, 3 Levels of Fidelity2026年7月23日
Cameras got cheap. Three 2026 studies — a 3D reconstruction pipeline, a systematic review, and one smartphone — all point the same way: global, gross measures are within reach; fine timing and joint angles are not, at any price point.
How Many Sensors Does a Sport Need? — 4 Studies on Minimal IMU Setups2026年7月23日
Wearable mocap used to mean a 17-sensor suit. Four 2026 studies ask the smallest set that still works: running needs 1–3 sensors, jump testing needs 1, base-running and hammer throw need more — and none was tested across all four.
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.

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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