A New Era of AI Motion Capture: New Taipei Industrial Vocational High School Visits Red Pill
On October 21, 2025, Jing-Yeu International Ltd. took teachers and students from the Data Processing Department of New Taipei Municipal New Taipei Industrial Vocational High School on a visit to Red Pill Tech Ltd. for an immersive industry visit combining AI, motion capture and virtual characters. The trip offered both a technology experience and a preview of education in the future.
Imagine virtual characters that can converse, collaborate and even teach, intelligent agents that adapt materials to a student’s learning pace, and digital avatars supporting stage performances, medical rehabilitation and product demonstrations. Such a world may not be far away.AI is quietly reshaping learning and creation. Future students will need more than programming, data analysis and web design: they must understand how to co-create with AI, interact with virtual environments and perform alongside technology. For business and computing education, this is both a challenge and an invitation for teachers and students to explore AI and virtual production, turn knowledge into creativity and make learning the beginning of future careers.
On October 21, 2025, Jing-Yeu International Ltd. led teachers and students from New Taipei Industrial Vocational High School’s Data Processing Department on an immersive visit to Red Pill Tech Ltd., exploring AI, motion capture and virtual characters.
Drawing a Virtual Future with Technology
Before describing the visit, we should introduce Red Pill Tech Ltd. and its technical capabilities.
Red Pill Tech Ltd. is a Taiwanese technology company specializing in AI, motion capture and virtual character generation. Its core expertise is capturing human movement without wearable sensors. Conventional motion capture often requires sensors, reflective markers or special suits. Red Pill instead uses minimal sensors, simpler camera arrangements and AI deep learning to capture movement, gestures and expressions in real time and turn them into avatar animation.
Alongside technology development, Red Pill works with gaming, healthcare, education and metaverse applications. It supplies platform software and SDKs/APIs so game companies, medical institutions, schools and creative teams can use its motion-capture and character-generation capabilities for avatar creation, simultaneous tracking of multiple people and live virtual performances. In short, it combines technology development, application platforms and integration services, serving potential partners ranging from students and creators to businesses and healthcare institutions.
NeoCore: The Engine for Intelligent Tracking in Large Spaces
In Red Pill’s demonstration area, instructor RH introduced NeoCore’s functions and applications. Whereas many motion-capture systems focus on detailed tracking of individuals, NeoCore emphasizes simultaneous multi-person tracking and coordinated multi-camera processing across large spaces, monitoring participants and returning precise motion data in real time.
RH explained that NeoCore is built on the RedPill motion-model engine. Efficient AI vision algorithms and coordinated multi-camera processing track several users’ skeletal movements in real time without restricting them to fixed positions. Flexible camera deployment scales to the venue, supporting synchronized capture in lecture halls, sports facilities, performance stages and public interactive spaces.
RH demonstrated several mobile applications built around the RedPill motion model, including:
TEEMA Sports App: Sports-training games using motion capture;
HK Nursing Home App: Interactive applications for long-term care rehabilitation and health monitoring;
HTC Viverse App: Immersive exercise guided by virtual characters;
iFull365 Daily Fitness App: A daily interactive fitness system using 3D motion capture for real-time instruction and correction.
RH then introduced agentic AI. He emphasized that it is more than an intelligent search system: it is an intelligent agent architecture that actively perceives, understands and acts. Agentic AI has three main characteristics:
Goal orientation: Reasoning automatically from user needs to propose optimal solutions;
Self-adjustment: Learning and refining behavior as circumstances change;
MCP cloud connectivity: Enabling cross-platform interaction and coordinated resources through cloud-based agents.
RH highlighted potential uses across sports training, game production and rehabilitation. For example, posture detection and exercise tracking can support rehabilitation patients through intelligent experiences combining physical and virtual elements.
To illustrate sports training, RH described a baseball player practicing a swing. The system analyzes the movement path and identifies instability, such as an arm held too high or a backward lean. The agent then sets a specific improvement target—for example, reducing the angle at which the arm rises above the head line by 5 degrees—and automatically matches supporting exercises from a motion database, including slow-motion visual playback, mirrored simulation and swing-path prediction.
During subsequent training, camera-detected movement deviations allow the system to automatically adjust the intensity of prompts and the scene settings, creating a closed-loop process of ongoing learning and real-time feedback. The agent interacts with the athlete, cameras, analytics modules and wider training ecosystem. It becomes an active partner in decisions and execution rather than a passive responder, illustrating AI’s potential in professional training and human–machine collaboration.
During the practical session, RH invited two students on stage for a live NeoCore test. The setup used six cameras to capture their movements simultaneously from different angles, demonstrating efficient multi-view detection.
RH explained that NeoCore does not require expensive specialist equipment: cameras need high resolution and a wide-angle view to track body movements, fingers, squatting and stair-climbing steadily and accurately. This setup allows an ordinary classroom or demonstration space to become a multi-camera capture environment. Users immediately see their posture translated into synchronized avatar movement and experience the enjoyment of interactive technology.
Redpillgo+: From Control to Creation
RH also addressed a common question: “If Redpillgo already exists, why introduce Redpillgo+, and how do they differ?”
He explained that RRedpillgo+ is an experimental advanced version of Redpillgo, emphasizing more accurate dual-camera motion capture and scene interaction. Beyond adding functions, the upgrade addresses accuracy and stability requirements in professional applications.
1. From Single-Point Tracking to Multi-Camera Fusion
The original Redpillgo supports personal motion capture, facial expression detection and voice recognition, driving avatars in real time with a single camera. In practice, however, one viewpoint can be limited by occlusion and viewing angles when capturing full-body movements or performance details.
Redpillgo+ therefore introduces a multi-camera integration algorithm connecting two or three cameras to capture joint positions and movement paths from different angles. This enables more complete skeletal estimation and movement reconstruction, improving stability and accuracy. RH demonstrated a synchronized three-camera setup in which walking, turning, gestures and extended limbs appeared smoothly, nearly eliminating the occlusion errors and joint drift commonly seen with one camera.
RH described Redpillgo+ as an important step from individual motion capture toward an intelligent avatar interaction system. AI-driven characters can be seen, perform together and respond intelligently, opening new possibilities for human–machine performance.
Air Grabbing: A New Approach to Gesture Interaction
Among the demonstrations, a particular highlight was Red Pill HandTrack and its Air Grabbing Interaction feature. Developed internally by the Red Pill Tech Ltd. team, it combines high-precision AI gesture recognition with 3D spatial depth computation and a real-time skeletal tracking model to capture hand movements and fingertip poses without wearable sensors or controllers.
When users naturally grasp, drag or rotate in the air, the system interprets hand-joint coordinates and movement vectors and translates them into commands within a virtual scene. Users can select, move, scale or rotate 3D objects precisely. Latency is below 50 milliseconds, creating a near-natural real-time experience. Multi-camera input and recognition of multiple users extend interaction beyond individuals to collaboration and stage performances.
Red Pill HandTrack also offers educational possibilities. With this technology, teachers can demonstrate virtual objects in class—for example, manipulating 3D chemical molecules, historical artifacts or architectural components in mid-air so students can examine details spatially. Students can control models and simulate experiments through gestures, experiencing an interface that feels like an airborne touch screen. It narrows the gap between physical and virtual environments, with applications in XR teaching, interaction design courses, virtual performances and rehabilitation simulations.
RH explained that Red Pill HandTrack’s development centers on replacing conventional interfaces with natural poses, allowing intuitive interaction without a mouse, controller or wearable device. Human–machine interaction is moving from sensor-based control toward perceptual understanding. As AI models and hardware improve, the technology could become key infrastructure for XR, smart classrooms and digital performances, advancing integration of physical and virtual worlds.
VRoid: A Workshop for Creating Virtual Characters
The instructor introduced software developed by Japan’s pixiv: VRoid Studio, a popular free 3D avatar-modeling application. Its guiding idea is to make creating a personal avatar accessible to everyone. An intuitive interface and comprehensive customization allow users without a 3D modeling background to design characters quickly.
VRoid Studio lets users customize facial proportions, hairstyles, clothing, poses and expressions, with real-time previews and animation. Completed characters can be exported in the standardized VRM format, compatible with many virtual platforms, game engines such as Unity and Unreal Engine, and VTuber streaming systems. This makes VRoid an important foundation for connecting Red Pill’s Redpillgo+ motion-capture system, the Warudo virtual-scene platform, and interactive XR teaching applications.
A Live Application Demonstration
RH demonstrated creating a 3D character from scratch, including appearance settings, detailed hair and clothing adjustments, real-time smile control and pose-export settings. In under twenty minutes, an avatar with highly lifelike expressions and movable poses was ready, illustrating VRoid Studio’s accessibility and flexibility.
RH noted its suitability for secondary and vocational education as a project tool in computing or multimedia design. Students could use it for avatar design projects”, “introductory metaverse content creation or digital character branding, extending programming and data-processing studies into 3D artistic creation and virtual performance while developing interdisciplinary design and technical skills.
Warudo: Bringing Virtual Worlds to Life
The instructor next introduced the Warudo virtual-scene and character integration platform, developed in collaboration with Red Pill. Its compatibility allows seamless connection with VRoid Studio and the Redpillgo+ motion-capture system, creating a complete virtual production workflow:
Create a character in VRoid Studio → export in VRM format → import into Warudo and configure the environment → capture individual movement and perform synchronously with Redpillgo+.
Warudo supports HDR rendering and multi-angle virtual cameras, allowing users to select lighting, camera views and scene transitions. Combined with live Redpillgo+ motion capture, avatars respond to users’ movements and expressions in real time to produce theater-like performances.
The Live Demonstration
RH imported a VRoid Studio character into Warudo and selected a virtual stage. Next, the Redpillgo+ single-person tracking module connected three cameras to capture RH’s movements and posture synchronously. The avatar accurately followed the instructor’s actions and expressions, completing a workflow in which live human movement drives a virtual character.
This integration demonstrated the immediacy and immersion of virtual production. Teachers and students saw the complete connection from character modeling and scene construction to multi-character interaction. For the Data Processing Department, it offered both a software demonstration and a concrete educational path from data processing to virtual production and creative content.
RH concluded that combining VRoid and Warudo could support future modules such as avatar creation and applications”, “3D animation and virtual performance projects, developing students’ ability to turn technology and creativity into commercially viable content and preparing them for metaverse and AI content production.
A New Chapter for Education and Society in the AI Era
As generative AI and virtual interaction evolve, NeoCore, Redpillgo, Redpillgo+, VRoid, Warudo and agentic AI are gradually changing teaching and learning. Beyond technological innovation, they support educational transformation, interdisciplinary practice, creativity and professional skills in secondary, vocational and higher education, while showing potential in rehabilitation, sports training and entertainment.
1. Deeper Changes in Education
These AI tools offer learning beyond conventional programming and data analysis. Motion capture, 3D characters and virtual performances allow students to combine creative thinking with AI while actively producing content and interactive experiences.
For example, students can use Redpillgo+ multi-camera capture for group performances, interactive displays and immersive performance projects. VRoid Studio enables character design, while Warudo provides scene construction and performance. Together, these tools form a complete workflow from character creation and motion capture to multi-character performances, combining AI, 3D and creative production.
An Educational Application Example
New Taipei Industrial Vocational High School’s Data Processing Department could offer an elective in metaverse creation and motion detection. Students would model characters in VRoid, track individual movement with Redpillgo+, simulate interaction logic with an agent module and finally hold a campus virtual influencer competition. Combining computing, performance and design would develop problem-solving, interdisciplinary collaboration and workplace readiness.
Teachers could also use agentic AI to introduce goal-oriented systems, self-adaptation and interactive ecosystems. Such courses develop AI literacy while helping students think in terms of system architecture, design and logic.
2. Practical Applications in Society and Healthcare
The value of AI motion capture and intelligent agents extends beyond education and is gradually reaching social and healthcare settings.
In rehabilitation, Redpillgo motion detection can support exercises at home or in rehabilitation centers. With two cameras, it provides movement recognition, posture correction and immediate feedback, automatically generating movement reports for therapists to monitor progress remotely. For example, stroke patients could practice raising their arms or gripping at home while the system detects angular deviations and prompts corrections, improving rehabilitation efficiency and safety.
In sports, baseball coaches can capture batting movements with Redpillgo, quantify angles and trajectories in real time and analyze them scientifically. AI reports support individualized training, while visual playback helps athletes correct movements in a data-driven teaching cycle.
For entertainment and cultural creativity, integrating VRoid, Warudo and Redpillgo+ lowers barriers to virtual characters. Creators need only a computer and cameras to create avatars, perform and stream live. For example, they could design a character in VRoid, invite friends to perform together using Redpillgo+ and produce a virtual show or concert in Warudo for streaming, becoming AI virtual influencers. Wider access brings virtual content creation into everyday life and supports participation by everyone.
A teacher demonstrates virtual-character tracking
3. A Shared Future for Education and Industry
Taken together, the Redpillgo, Redpillgo+, NeoCore, VRoid, Warudo and agentic AI ecosystem goes beyond advanced demonstrations: it offers practical digital solutions for education, healthcare, sports and cultural creativity.
For educators, this connects curricula with industry and develops innovative thinking and practical skills. For society, it brings together healthcare, professional training and entertainment, supporting a new wave of smart-living industries.
Ultimately, AI can be both a learning aid and a bridge to creativity and self-realization. Education can move beyond transferring knowledge toward people learning alongside intelligent systems and technology developing together with creativity.
Metaverse Virtual Influencer Competition: Bringing AI Creative Education onto a Real Stage
Amid developments in AI and the metaverse, Red Pill Tech Ltd. team introduced the Metaverse Virtual Influencer Creation Competition during the visit. More than a technical contest, it offers a platform combining AI applications, interdisciplinary creation and educational practice. It welcomes secondary, vocational and university students, independent creative teams and corporate hackathon teams, using industry production processes to help participants turn classroom learning into creative work with market value.
Participants must integrate several AI technologies into a complete virtual performance:
Use VRoid Studio to create a distinctive 3D avatar and design its appearance and style;
Apply Redpillgo+ for individual motion and expression capture, producing real-time group performances;
Use the Warudo platform to select scenes, design lighting and scripts, and construct a complete stage setting;
Finally, upload the finished video or interactive work to the designated platform for public voting and professional judging.
Judging covers character creativity and visual design”, “choreography and synchronized performance”, “virtual influencer livestream interaction”, “social reach and creative influence. Modeled on the digital content industry, the process lets students experience professional production schedules, roles and collaboration on campus.
The competition’s value lies not only in demonstrating AI and virtual technology, but also in its educational extensions and interdisciplinary integration. It encourages students to combine programming, data processing, video production and marketing planning, moving from operating technology to planning and producing creative content.
Each team consists of 3–5 members, with roles including:
Character designer(responsible for modeling and visual styling)
Motion-capture operator(responsible for Redpillgo+ configuration and performance guidance)
Scene/performance producer(responsible for Warudo scenes and scripts)
Social media and marketing manager(responsible for promotion and audience interaction)
This team structure develops project management and communication through real collaboration, helping students understand how AI supports creative-industry workflows.
A New Era of AI Motion Capture: New Taipei Industrial Vocational High School Visits Red Pill
With generative AI and virtual interaction advancing, Jing-Yeu International Ltd. arranged for the school’s Data Processing Department to visit Red Pill’s demonstration space for immersive learning in AI, motion capture and virtual creation.
From VRoid Studio avatars, Redpillgo+ multi-camera tracking, HandTrack air interaction and agentic AI demonstrations to Warudo metaverse performances and the virtual influencer competition concept, every stage showed that AI characters are becoming practical tools in education and industry.
The visit was both a technology experience and a tangible expression of an educational vision. Between the cameras, students saw more than their movements being captured: they saw a new form of learning through human–machine performance taking shape. Behind the avatars, teachers reconsidered how computing education could combine AI, design, performance and creativity to develop professionals who use technology to tell stories and solve problems.
As the department incorporates these tools and ideas into its courses, students can become active creators, thinkers and practitioners. They will learn to turn programming languages into creative expression and data logic into interactive experiences, finding their own creative paths where technology meets the humanities.
#AIMotionCapture: New Taipei Industrial Vocational High School Visits Red Pill
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