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Fujitsu’s Imaginative and prescient AI Park at CEATEC 2024: AI-Powered “Human Movement Analytics” (HMA) To Assist Folks in Sports activities, Wellness, and For Cultural Preservation

At CEATEC 2024, the Fujitsu booth-themedVision AI Park*” showcased AI as a trusted assistant that enhances people’s lives in sports activities, healthcare, and tradition. The exhibition highlighted how Fujitsu’s Human Motion Analytics (HMA)* know-how leverages markerless pc imaginative and prescient, AI, and knowledge to improve sports activities efficiency, enhance well-being, and protect conventional artwork.

Guests skilled firsthand how AI may digitize human actions and ship actionable data immediately, opening new avenues in every discipline. Fujitsu’s AI-centric method goals to drive financial progress and enhance high quality of life by enabling a future the place people and AI collaborate, complement one another, and advance collectively.

Sports activities Zone: AI and Knowledge Rework Coaching for Peak Efficiency

At CEATEC, I skilled the Fujitsu interactive basketball sales space powered by Fujitsu’s Imaginative and prescient AI x Sports activities know-how that doesn’t use any markers or wearable sensors

Since winning the W League playoff championship in April 2024*, the Fujitsu Pink Wave grew to become Japan’s prime girls’s basketball crew. 

At CEATEC 2024, Fujitsu collaborated with the Pink Wave crew to create an interactive basketball sales space. Fujitsu’s Human Movement Analytics (HMA) know-how makes use of AI to investigate guests’ capturing varieties, providing real-time enchancment recommendation primarily based on Pink Wave gamers’ knowledge. Guests may evaluate their method to elite athletes and observe enhancements via AI-guided suggestions

I attempted the demo, and I used to be in a position to make some enhancements to my capturing kind. Right here is the way it labored:

The demo occurred on {a partially} digital basketball court docket, the place members like myself may be a part of Fujitsu’s Pink Wave, the ladies’s skilled basketball crew, and take free throws.

Initially, I took a observe shot with my pure kind. Fujitsu’s HMA know-how then captured and analyzed my actions, evaluating my kind knowledge to that of a Pink Wave participant. This allowed for detailed, real-time suggestions on areas needing enchancment.

After my observe shot, I acquired suggestions from the Pink Wave crew’s coach, Shota Goto, primarily based on Human Movement Analytics know-how, to assist me enhance my second shot.

Subsequent, a digital coach supplied tailor-made recommendation primarily based on the skilled participant’s knowledge, highlighting particular changes to get nearer to the Pink Wave customary.

With this steerage, I used to be given one other likelihood to shoot. This time, the expertise was intensified with a simulated recreation state of affairs. I wore the crew’s #90 jersey, and a commentator set the stage: “The rating is tied at 89-89, with #90 making an attempt a free throw to win the sport.” This added an exhilarating sense of strain.

Afterward, Human Movement Analytics’s high-precision skeletal evaluation allowed me to view and evaluate my motion knowledge from each photographs. The exact side-by-side evaluation made it straightforward to grasp the affect of the coach’s steerage on my kind. This demo demonstrated Fujitsu’s progressive method to sports activities analytics, making it attainable to visualise, alter, and refine bodily efficiency in real-time.

A Fujitsu spokesperson defined that Human Movement Analytics know-how, a part of the Fujitsu Kozuchi AI platform for Imaginative and prescient x Sports activities, goals to help coaching for athletes and younger gamers fascinated about basketball and soccer. I’m satisfied that the know-how could possibly be utilized to all sports activities sooner or later.

This high-precision, markerless skeletal evaluation know-how already powers the Fujitsu Judging Help System, which the Worldwide Gymnastics Federation has utilized in competitions since 2019 and throughout all ten apparatuses since 2023.

Healthcare Zone: Supporting Thoughts and Physique Well being with AI-Pushed Insights

Within the Healthcare Zone, Fujitsu launched a Pilates and yoga sales space to display AI’s position in bettering total well-being. The AI analyzes guests’ roll-down actions, a Pilates train that signifies steadiness functionality. Primarily based on an evaluation of backbone vary of movement and motion pace, guests obtain personalised steerage from an expert teacher to refine their posture and actions.

Though we didn’t expertise this demo firsthand, Fujitsu representatives defined the know-how and shared plans for deploying it in collaboration with yoga studios.

Tradition Zone: Passing Down Conventional Strategies with AI and Knowledge Help

Fujitsu offered AI-assisted Noh performances within the Tradition Zone in partnership with the Nohgaku Performers’ Affiliation. Noh, a classical Japanese theater artwork kind, depends on exact actions and expressions.

Fujitsu’s AI know-how allows guests to visualise their very own actions and positions, evaluating them to these {of professional} Noh actors. Guests then obtain professional steerage on Noh’s refined, expressive strategies from famend Noh artist Yoshimasa Kanze.

We attended a Noh teacher’s efficiency, and the Fujitsu spokesperson defined that one of many best challenges in studying Noh is visualizing the exact place of the limbs, that are hidden by the normal voluminous costumes. Fujitsu’s AI-driven Human Movement Analytics (HMA) know-how allows correct physique movement seize and skeletal visualization, permitting novice Noh college students to appropriate their posture proper after observe.

A Noh teacher’ performs on the Fujitsu sales space whereas the Fujitsu Kozuchi AI platform screens his actions utilizing Human Movement Analytics after which visualizes the skeleton positions with excessive precision.

Past Sports activities, Wellness, and Tradition, the Fujitsu Kozuchi AI Platform Goals to Help Folks Throughout Various Fields

The Human Movement Analytics (HMA) know-how is a part of Kozuchi, Fujitsu’s AI platform launched in April 2023. Kozuchi, which integrates Fujitsu’s AI Imaginative and prescient with HMA,  presents structured AI companies, together with generative AI, serving as a trusted assistant across seven key primary areas. With greater than 30 years of analysis and seven,000 use circumstances, Fujitsu’s AI Imaginative and prescient, via its Uvance mannequin, seeks to handle societal points throughout industries whereas enhancing productiveness and creativity.

At CEATEC, Human Movement Analytics , a part of Fujitsu’s Imaginative and prescient AI,  was highlighted as a strong device for digitizing and analyzing human actions. Utilizing Kozuchi’s superior algorithms and high-precision skeletal evaluation, Human Movement Analytics (HMA) delivers extremely correct movement knowledge evaluation, initially developed for AI vision-assisted scoring in gymnastics and adopted by the Worldwide Gymnastics Federation (FIG) in October 2023 for all ten apparatuses. Fujitsu’s Judging Support System (JSS)* has been developed in collaboration with FIG since 2017 and began to formally assist judges for 4 apparatuses on the 2019 Stuttgart Inventive Gymnastics World Championships*.

Fujitsu asserts that its skeletal evaluation know-how ranks among the many world’s most exact, with purposes spanning sports activities, healthcare, leisure, retail, and manufacturing sectors. By means of Kozuchi, HMA facilitates enhanced efficiency, refined abilities, and optimized motion, creating new insights into human movement. That is in alignment with Fujitsu’s imaginative and prescient for 2030 to “grow to be a know-how firm that realizes web optimistic via digital companies […] and to ship a web optimistic affect to society via company actions,” as acknowledged by CEO Takahito Tokita in Fujitsu’s Expertise and Service Imaginative and prescient 2024 doc (page 4 – in English).

*Hyperlinks to Japanese webpages – you must use Google Translate to learn them in English

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