Allow Motion

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Views: 65
Medical

Allow Motion revolutionizes upper-limb prosthetics with a modular, 3D-printed myoelectric system that adapts to any amputation level—from partial hand to full arm—via customizable, lightweight designs. By integrating AI-driven gesture recognition and 3D scanning of residual limbs, it eliminates the need for invasive surgery or pre-programmed patterns, enabling seamless human-machine interaction.

The Problem

  • Prohibitively Expensive: Traditional prosthetics cost €20,000–€100,000, making them inaccessible to 95% of patients
  • Poor Usability: 50% of amputees abandon prosthetics due to discomfort, rigid designs, and lack of intuitive control
  • Long Wait Times: Months-long delays for custom fittings.

Our Solutions

  • Affordability: 60% cheaper than traditional prosthetics.
  • Lightweight Design: 50% lighter using 3D-printed modular components.
  • Advanced Control: AI-driven myoelectric systems with self-learning capabilities—no pre-programmed patterns or invasive surgery.
  • Custom Fit: 3D scans of residual limbs ensure perfect ergonomics.

Key Innovations:

Modular Design:

One system scales to replace hand, hand + forearm, or full arm using interchangeable 3D-printed components.

Custom-fit via 3D scans of residual limbs for optimal comfort and mobility.

AI Embodiment:

  • Self-learning myoelectric control: Uses EMG sensors + machine learning to interpret muscle signals in real time—no tedious pattern training.
  • Computer vision assist (optional): Cameras validate gestures for enhanced accuracy (e.g., distinguishing a "grip" from a "wave").

Accessibility:

  • Non-invasive: Avoids neural implants or complex surgeries.
  • Affordability: 60% cheaper than traditional prosthetics.
  • Lightweight Design: 50% lighter using 3D-printed modular components.
  • Advanced Control: AI-driven myoelectric systems with self-learning capabilities—no pre-programmed patterns or invasive surgery.
  • Custom Fit: 3D scans of residual limbs ensure perfect ergonomics.

Applications:

  • Medical: Affordable, adaptive prosthetics for amputees.
  • Research: Platform for AI-human interaction studies.

Feasibility:

  • Production: On-demand 3D printing lowers costs (~60% cheaper than commercial prosthetics).
  • Software: Open-source AI model (Python/TensorFlow) for community-driven improvements.

Market Potential:

  • 2.1 million upper-limb amputees globally (WHO).
  • $6.9B prosthetic market by 2028 (Grand View Research).
  • Already backed by university, 17 O&P, hospitals worldwide.

 

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  • About the Entrant

  • Name:
    Delporte Joachim
  • Type of entry:
    individual
  • Software used for this entry:
    Allow Motion's homemade software
  • Patent status:
    pending