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Aztech Technologies

Non-invasive hand prosthesis made from recyclable materials, incorporating an adaptive AI model to recreate human movement with complete naturalness.

  • Internal electromechanical system to move the hand

  • Basic introduction of the idea and vision of the project

    Basic introduction of the idea and vision of the project

  • Basic myoelectric sensor that will detect the electronic pulses from the forearm

  • Full range of motion in the hand. Index finger isn't activated

  • Complete external display of the prosthesis

  • Complete external display from the low angle of the prosthesis

What it does

The prosthesis solves the absence of a hand due to amputation or birth defects improving their quality of life giving them the functionality to 100% other domestic activities reintegrating them to society and improving their self-esteem, specially children.

Your inspiration

We first developed the idea from collaborating with a local foundation that distributes basic mechanic hands to those in need. There was one case where a boy, upon receiving his prosthesis, turned to his brother and said, "Look, now I'm just like you, brother," which suggests a certain degree of exclusion or bias due to his disability, which we also address with this prosthesis. This heartbreaking situations that this proyect allows us to experience keeps motivating the group to give our best to develop the best cost-efficient prosthesis.

How it works

The adaptive AI model uses a myoelectric sensor to detect electrical impulses in the forearm and then evaluates the movements to be recreated, moving the hand with the same fluidity, precision, and speed as a natural hand. All in real time, using software built into the hand. We achieve independent finger movement, which generates greater adaptability to the user's activities. The model is waterproof and uses internal batteries for movement.

Design process

We first initiated the original mechanical hand thanks to an open source which helped us to visualize a better conceptualization on how to design a hand. From that initial point we have detected better ways to create an harmonical mechanized movement among pieces. Later on we developed an electromechanical hand with buttons and 50kg force motors. Afterwards we integrated an AI adaptative model to automate the responsiveness to the inputs from the myoelectric sensors. We are now innovating in the frabrication processes to incorporate new materials that will help the prosthesis to be more competitive in the market.

How it is different

Our primary differentiator rely in the integration of AI to replicate natural and precise movement, achieving a remarkable 95% accuracy in movement prediction. An adaptive AI model will be continuously trained on a chip integrated with a myoelectric sensor in the prosthesis, enabling the movement of 5 motors in each finger and allowing the hand to rotate with a force of 50 kg. The prosthesis is composed of a carbon fiber shell and myoelectric sensors designed to detect the electrical signals in the forearm. This technology enables the AI to identify patternsthat signify the body's intention to move the hand, subsequently translating that pattern into movement through individual motors in the prosthetic hand.

Future plans

The result of a market investigation we have anticipated a total of 40,622 people that would be willing to buy the hand prosthesis. We will develop more prosthesis and variety for each missing limb. At least we have detected 4 products for upper limbs and 4 products for lower limbs. In mexico there is an estimated of 772,500 AMPUTATED people without prosthesis (INEGI, 2015). We have detected an unreached market, and are willing to help those people and improve their quality of life. Not only in Mexico, but we have plans to export and make associations in all LatinAmerica.

Awards

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