2024 /
4 weeks
MA/MSc Innovation Design Engineering
To tackle this issue, we've designed a playful and engaging solution: a toy that turns these routine exercises into a fun, interactive challenge. This idea is especially appealing to children, who might otherwise find it difficult to grasp or stay motivated with standard physiotherapy exercises.
Here's how it works: the correct movements demonstrated by a physiotherapist are captured using a motion-tracking device. These movements are then translated into a 3D object through algorithm design and machine learning, which can be 3D printed for real-world testing and refinement. Through an iterative design process, involving the creation of more than six different types of mazes, we developed a prototype that was tested and improved with feedback from both patients and healthcare professionals.
The final product is a transparent plastic labyrinth designed as a wearable device. Inside, an inflatable mechanism adjusts to fit the arms of different patients, ensuring the design is inclusive and comfortable. This simple yet engaging tool makes physiotherapy more enjoyable and effective, encouraging patients to stick to their exercises. With this approach, we envision different versions tailored for various therapeutic needs, such as range of motion recovery, motion control, or even cognitive training for elderly patients.
Context
Patients don’t engage with Range of motion Physiotherapy
‘90% of the patients don’t follow the treatment at home, which increases the time of recovery and reduces the chances of getting full mobility back.’Javier Sebastián Cambón, Physiotherapist.
Samples of the instructions given to patients for at-home practice, they are often lost or forgotten.
VisionGamifying the Physiotherapy exercises with an object that calls for action.
StrategyCreate a wearable maze that forces 3D movements previously recorded.
First sketches of possible solutions.
The process for designing the Maze Wearable involved three steps: capturing the right movement using Gravity Sketch and Oculus, transforming the movement with Algorithm Design, 3D printing, and testing the wearable. Iteration was essential for refinement.
ProcessIterate through 3D printed prototypes and validation with potential users and experts.
Each iteration was tested with Health experts and physiotherapists.
OutcomeAn Adaptable mono-material maze designed to train specific movements.
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