The SignBridge project, which became the winner of the Tamyr Platform Accelerator 2025, has taken an important step toward the development of digital sign language interpretation. The team has purchased and implemented sensor-based equipment that captures movement, allowing them to improve the quality of 3D interpretation in Kazakh Sign Language.
With grant funding, the team acquired new equipment, including a Rokoko motion-capture suit, sensor-based gloves, and a head-mounted camera. This equipment captures the movements of the body, hands, and head and transfers them into a digital environment, where they are used to train a 3D avatar. As a result, the gestures appear more natural and closer to real-life motion.
The equipment is already being actively used in the project, including assembly, calibration, and software configuration.
In November, the team focused on building the technological foundation of the project. Within a short period, the key components of the system were implemented: a mechanism for accurately transferring human movements to a 3D avatar was developed, the animation creation process was automated6 eliminating the need for manual assembl, and an offline pipeline was established, in which motion-capture data is automatically transformed into finished video content featuring a 3D sign language interpreter. As a result, the project gained a stable technological framework that makes it possible to convert “raw” motion data into ready-to-use video content.
In December, SignBridge moved to the MVP stage, a minimum viable product. An automated offline system for generating video materials with a 3D avatar was implemented. Support for Russian Sign Language was also added, expanding the project’s potential audience. Going forward, the team plans to develop the architecture toward real-time operation of the 3D avatar through a web interface.
Support from Tamyr Platform enabled SignBridge to move quickly from refining the technology to launching the MVP and preparing for large-scale gesture recording. Work on the project continues, with plans to expand the gesture database, launch the server-side infrastructure, and integrate an API.
Earlier, Tamyr Platform reported that Nurzada Amangeldy became the winner of the Tatler Impact Awards in the “Innovation” category for the SignBridge project, an AI platform aimed at eliminating language barriers for people with hearing impairments.
