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Corrosion Free
Best in class corrosion and sweat resistance.
Ultrathin
Less than 1mm thin
Washable
Endures more than 100 tested washing cycles.
Flexible & Elastic
Works well with fabric as it does not rip nor tear off.
Why TracSil?
TracSil provides a more convenient solution compared to IMU sensors and camera motion capture. It can be easily worn like clothing, providing immediate data on user movements. TracSil withstands over 10,000 strain cycles, collecting accurate data even during intense physical activity.
Movement Tracking
Silicone Textile
Does not require
skin contact
Bluetooth Device
All-in one board
Spandex Fabric
500mm/min
Strain Resistance Testing Results
TracSil can be stretched without noticeable loss of quality, enduring over 10000 strain cycles. The following graph shows that when TracSil is stretched by 500mm per minute, it still provides reliable impedance.
How TracSil Sensor works
The flexible and elastic conductive sensor instantly measures posture whenever the user bends a joint. Made from conductive silicone material, the sensor uses electricity to accurately detect movements and automatically counts exercise repetitions.
How the AI works
After collecting human motion data with TracSil, the collected data will be input into Wave's AI system. This will then be analyzed to provide insights into various movement patterns.
The AI system can recognize specific movements associated with certain activities or sports. This can be useful in sports performance analysis, injury prevention, and rehabilitation. It can also detect anomalies in the motion data, which can indicate potential injuries or imbalances and help in the early prevention of injuries.
Our Background in AI
Activity Prediction AI System using Accelerometer Sensors
As Wave's core AI technology patent, after measuring and collecting real-time data of the user's movements, exercise, and behavior patterns, the collected data is processed through AI algorithms to predict and analyze the user's activity level.
The advantages of this AI System are:
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It accurately predicts the user's activity level,
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Provides fast responsiveness through real-time data collection and processing,
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Provides personalized services by analyzing the user's activity patterns and behavioral characteristics
DISCOVER NEW POSSIBILITIES
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