Adam’s Hand wants to potentiate the user providing him info gathered from his surroundings and enhancing his connection with the environment: IoT and Home Automation are actually at the user fingertips!
The sinergy between advanced mechanics and self-learning algorithm, leads the user to learn to use the device fast and easily. App/web integration for telemedicine allows for a continuous and effective user-orthopaedic interaction.
Classic industrial processes and innovative 3D printing technologies allow for a never-seen customization of the device. Adam's Hand is also designed in a modular way in order to adapt to different amputation levels: a single device to fulfill each user needs.
The sensors signals are gathered and stocked in a cloud database. Visive, audio and vibratory feedback are provided to the user: the device is no longer perceived as an unnatural mechanical appendix, but instead as an extension of the user’s own body.
The innovative patent-pending mechanism on which Adam's Hand is based uses just one motor to drive all the fingers, making them automatically adapt to the grasped objects' shape and dimensions.
This way, an extremely simple control of the device can be obtained - without resorting to complex muscles co-contraction or movements combination - and to save on the prosthesis cost, obtaining also a lighter, more compact, less loud and high-autonomy device.
Adam’s Hand recognizes user gestures and evaluates the strength required to actuate them by using the signals gathered through several EMG electrodes. These data are then given as input to a machine learning algorithm that is initialized through a training phase performed at the system start, in order to better adapt the device functioning to each user.