Hand prostheses: AI enables more intuitive use

Hand prostheses: AI enables more intuitive use

Interview with Prof. Cristina Piazza, Professor for Healthcare and Rehabilitation Robotics, TU Munich


Image: Smiling woman with long, brown hair, grey-white blazer and dotted blouse – Prof. Cristina Piazza; Copyright: Andreas Heddergott/TU Munich

Prof. Cristina Piazza, TU Munich

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Photo gallery about the prosthesis control

Image: A hand holding an apple and a second hand making a gasping movement. Behind them is a hand prosthesis with fingers that are also bend to grip something; Copyright: Andreas Heddergott/TU Munich
The idea behind the prosthesis control: 128 sensors read signals of muscle activation in remaining muscles, an AI recognizes the intention behind the activation and implements a corresponding movement of the prosthesis.
Image: A woman with long blond hair, Johanna Happold, is holding a hand prosthesis that is gripping an orange; Copyright: Andreas Schmitz/TU München
The hand prosthesis should be able to move more flexible and enable a more natural movement.
Image: A woman is holding a hand prosthesis that holds an orange. A sensor is attached to one of her arms, the sensor is connected to the prosthesis with a cable; Copyright: Andreas Schmitz/TU Munich
Until now, hand prostheses have used information from two sensors on the forearm to close and open the prosthesis. In future, a network of 128 sensors and the use of AI should enable finer and more intuitive control.
Image: A woman with glasses and long dark hair, Dr. Patricia Capsi-Morales, is showing a hand prosthesis together with a foil that has black dots on it; Copyright: Andreas Schmitz/TU Munich
A total of 128 sensors are used for the control system, which are attached with two carrier foils on the forearm. This allows more muscle activity to be recorded in order to recognize the wearer's intention to move.
Image: Three women – Dr. Patricia Capsi-Morales, Prof. Cristina Piazza, graduate student Johanna Happold – present components of their prosthesis control; Copyright: Andreas Schmitz/TU Munich
The team behind the prostheses control: Dr. Patricia Capsi-Morales (left), Prof. Cristina Piazza (center) and graduate student Johanna Happold.

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