FIRA Pose

Existing methods for analyzing body posture rely on camera motion capture or wearable sensors, which have spatial limitations and are uncomfortable to wear.

In particular, it is difficult to monitor the daily posture of the elderly and rehabilitation patients, increasing the risk of secondary injuries due to incorrect posture.

In addition, posture analysis is difficult in environments (such as factories) where video-based monitoring is avoided due to privacy concerns.

FIRA Pose uses millimeter wave radar to track a person's skeletal movements in 3D non-contact.

It identifies 22 joint points in real time without a camera, obtaining accurate posture data without invading privacy.

The AI algorithm analyzes this data to provide immediate feedback (alarm or coaching) on errors in exercise or work posture and can provide customized exercise guides for individual users.

Compared to existing camera-based systems, it is easy to install and use, and can track multiple people simultaneously, making it highly useful in elderly care facilities, gyms, and industrial sites.

Fitness centers, physical therapy clinics, and rehabilitation hospitals (B2B) are the main adopters.

Companies may also be interested in it for safety management (B2B) in industrial settings.

In the long term, it may be included as a feature for individual consumers (B2C) in home health devices or game consoles.

It can be applied to various fields such as exercise/healthcare market and industrial safety, so the scale is large.

Farmity is known as a startup in the Daegu area and has received government support, attracting attention at domestic and international exhibitions.

The technology itself has high global scalability, but it must continue to prove its accuracy and price competitiveness compared to competing solutions (camera AI, etc.).

There is also room to advance into sports coaching and VR/gaming fields.

There are reports that it has been recognized for its technology by winning two awards at CES, and experts have shown curiosity in posture tracking without a vision camera.

However, it is still in the pre-commercialization stage, and there is also a realistic assessment that accuracy verification and partnership acquisition are necessary in the actual use environment.