VIA
Wearable Fitness Technology
+ Independent Project
+ Guided by Paolo Cardini and Brian Jablonski
+ Robotics, CMF, R&D, Industrial Design, 3D
+ Arduino, Rhino3D, Keyshot
Via is an innovative fitness technology designed to revolutionise the way we approach workouts and improve our form.
It consists of a set of vibrant red pucks that sit on the body, utilizing advanced 6-axis sensors to accurately track and monitor posture in real time. Via incorporates haptic feedback to provide immediate communication to the user, alerting them whenever their posture needs adjustment during exercise. With seamless Bluetooth connectivity to smartphones, Via empowers users to achieve perfection in their form, unlocking their full potential and maximizing their workout results.
Key Benefits
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Enhanced Workout Performance - Via empowers users to perform exercises with proper form, ensuring optimal muscle activation and reducing the risk of injury. By maintaining correct posture, users can maximize their workout results and achieve their fitness goals more effectively.
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Real-Time Feedback - Via's haptic feedback system offers immediate guidance, allowing users to make on-the-spot adjustments to their posture during workouts. This real-time feedback fosters a deeper mind-body connection and helps users develop proper muscle memory.
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Personalised Recommendations - The Via mobile app provides users with personalized recommendations based on their performance data. These recommendations aim to refine their technique, overcome weaknesses, and optimize their overall form.
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Injury Prevention - By actively monitoring and alerting users about incorrect posture, Via helps prevent common workout-related injuries. By reducing the risk of strain or improper muscle engagement, users can exercise with confidence and safety.
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Convenient Integration - Via seamlessly integrates into users' workout routines, with its compact design. Bluetooth connectivity ensures a hassle-free connection to the mobile app, offering an intuitive and comprehensive user experience.
Process:
Works-like Model
Form Exploration
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