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TracSil™ Smart Textile Sensor's Precision Measurement Principle of Joint Angle: Rigorous Wearable Motion Verification Test

How TracSil™ Smart Textile Sensors Accurately Measure Joint Angles: watch the video!

Trustworthy wearable technology starts with verification

Trustworthy wearable technology starts with rigorous sensor testing. Wave Company believes that trust in smart wearable devices is built long before the product reaches the user, starting with repeated validation in the laboratory. This test video demonstrates our internal validation process to evaluate the performance of our proprietary conductive smart textile sensor TracSil™. TracSil™ was developed for real-time motion tracking and joint angle measurement, and is designed to capture even the smallest movements that occur while the user wears it.

How TracSil™ measures joint angles

TracSil™ is a smart textile sensor based on conductive fibers. When the fabric stretches or contracts along with the movement of the joint, the electrical properties inside the fiber change as well. By continuously measuring and interpreting these changes, we can estimate how much and how quickly a joint flexes and straightens without the need for any external equipment. This principle means that the fabric in close contact with the body itself becomes a sensor, and the wearer can leave data even during daily movements without having to stand in front of a special marker or camera.

The TracSil™ sensor is built directly into the TracMe Supporter, converting body movements into real-time electrical signals without the need for a heavy motion capture system or external camera. This means that joint angle data can be collected in real-life environments such as playgrounds, rehabilitation clinics, or even at home, rather than in controlled laboratories.

Internal Verification Testing: What We Saw

This is not the final TracMe app, but an internal test application to verify the following:

  • Real-time responsiveness of wearable motion sensors
  • Bluetooth stability during continuous operation
  • Precision of joint angle detection during repetitive movements

These three items are not independent of each other. If responsiveness is low, users will feel a delay even if the Bluetooth signal is stable, and conversely, if the response is fast but communication is interrupted, the data itself will be lost. TracSil™'s verification process is designed to check these three elements together in one flow.

Why camera-less motion tracking is important

Traditional motion capture systems rely on cameras, markers, or solid hardware. Although these systems can be highly accurate, they have limitations in continuously recording everyday movements because they require shooting space, equipment, and separate setup time.

On the other hand, smart textile-based sensors such as TracSil™ enable natural, continuous motion tracking directly from the body. Because you are wearing a sensor just by putting on clothes, you can obtain data at every moment of movement without being tied to a specific space.

This approach is essential for future applications such as:

  • Digital Healthcare — Continuously collects health-related movement data in daily life without special equipment
  • Rehabilitation technology — Continuously records your movements during recovery, even outside the hospital
  • Sports performance monitoring — analyze movements without cameras in real-world training environments
  • AI-based motion analysis — Provides more sophisticated movement insights based on accumulated motion data

Core Verification Focus

This testing phase focuses on three key performance metrics essential to wearable sensor reliability:

  • Real-time responsiveness and Bluetooth stability during live operation
  • High-precision data measurement throughout repeated joint flexion/extension
  • Key parameters required for the TracMe AI motion analysis platform scheduled to be released

As seen in the video, the TracSil™ responds instantly to micro-motions, proving its suitability for high-fidelity motion data collection.

Why verification of precision is difficult

Accurately measuring joint angles is different from simply capturing a single measurement. In an actual use environment, the same operation is repeated dozens or hundreds of times, and in the process, the sensor must maintain the same level of precision as at the beginning. Additionally, if the signal is interrupted or delayed while transmitting data wirelessly, the data the user ultimately sees may be inaccurate, no matter how fast the sensor itself responds. Therefore, TracSil™ verification checks responsiveness, communication stability, and repeatability together as one set.

next steps

These initial validation tests are the foundation for a smooth user experience. Our goal is to transform raw biomechanical motion data into meaningful, user-friendly insights.

Stay tuned as we continue our journey as smart textile sensor technology evolves into a scalable, practical digital health solution.

Frequently Asked Questions

What exactly does the TracSil™ sensor measure?

TracSil™ measures joint angles and real-time movement. It detects the electrical changes that occur when conductive fibers stretch or contract, and estimates how much the joint bends or straightens.

How can you track motion without cameras or markers?

TracSil™ is because the fabric that is in close contact with the body itself acts as a sensor. Since the deformation of the fabric directly leads to a change in electrical signals, movement data can be obtained in real time without the need for an external camera or separate marker.

How is this test video different from the final product?

What appears in the video is not the TracMe app, but an internal test application to verify responsiveness, Bluetooth stability, and joint angle detection precision. The results of this verification will support TracMe's future user experience.

What can this technology be used for?

It is expected to be used in various fields that require natural continuous motion tracking without a camera, such as digital healthcare, rehabilitation technology, sports performance monitoring, and AI-based motion analysis.

https://tracme.cc

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