Smart Prosthetic Limbs using AI prediction capacity to perform delicate and complex motor task

  • Статус: Pending
  • Награды: $100
  • Полученные заявки: 2

Краткое описание конкурса

Completely different approach from brain-controlled prosthetics


The goal of this project is to address the issue, using an economical and easily reproducible setup as open source tools.

Evaluating, as Open Source recommends, a variety of issues including ethical concerns by contributors representing a wide range of viewpoints.

In general, conforming to commercially available tech, specification, standards and current regulatory guidance.

Deep Learning Training and Inference to Identify the pattern of activity to perform an action (control a mechanical limb to perform a complex motor task) without our really being aware of it. For example, consider the delicate and complex tasks hands can perform, such as writing in calligraphy or playing the violin.
AI and machine learning algorithms are becoming increasingly good at predicting next actions in videos.



Smart Prosthetic limbs, where equipment, and sensors are all connected to a network, allowing software control programs to autonomously run entire processes and self-optimize performance by integrating data and adapting to conditions in real time. The combination of multiple sensor technologies provides more information to make applications more intelligent and more efficient (e.g. LIDAR, smartglass camera, wearable computer).

Motor Preparation during Error-Driven Learning using Feedback Adaptation with voice and gesture control. Over time, with continual practice, actions as complicated as riding a bike, knitting, or even playing a tune on a musical instrument, can be performed almost automatically and without thought. In a manner analogous to motor memory consolidates --that is, with the formation of a memory that progresses over time from a fragile state, which is susceptible to interference or a conflicting motor task, to a stabilized state, which is resistant to such interference.

Biomimicry Design Inspired By Nature:
The majority of neurons in an octopus are found in the arms, which can independently taste and touch and also control basic motions without input from the brain.


The project is inspired by the revolutionary aspects of Linux that are social, not technical. From the beginning, with the aim of being casually modified by volunteers coordinating only through the Internet. The quality maintained by the simple strategy of obtaining feedback and insights from users, creating a kind of gradual and participatory evolution. Freely redistributable, anyone can create a distribution. Empathy is the connecting factor between developers. The source code to be used, modified and distributed commercially or non-commercially by anyone under the terms of GNU General Public License.

Newton's First Law of Motion:

An object at rest will remain at rest unless acted on by an unbalanced force. 

Newton’s first law explains why it takes extra force to get moving

This same principle serves to explain the difficulty of starting a project

We are confident that you will be there to support us.

Await your positive response.

For more information and insights, visit our Web site sense-hub.com

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Панель общих вопросов

  • chuttifactory
    chuttifactory
    • 1 неделя назад

    Can you please extent the contest...

    • 1 неделя назад
  • priyajen
    priyajen
    • 2 недель назад

    CAN U ALLOW PDF VERSION?

    • 2 недель назад
  • chuttifactory
    chuttifactory
    • 3 недель назад

    Working...Please Don't announce the winner before the deadline...

    • 3 недель назад
  • chuttifactory
    chuttifactory
    • 3 недель назад

    working...

    • 3 недель назад
  • Andreacmelo
    Организатор конкурса
    • 4 недель назад

    Insights to Inspiration

    HAPTIX is a DARPA program designed to “develop new science and technology to achieve closed-loop control of dexterous mechatronic prostheses that will provide amputees with prosthetic limb systems that feel and function like natural limbs”. OSRF, the organization maintaining Gazebo, has been tasked with extending Gazebo to simulate prosthetic hands and test environments, and develop both graphical and programmatic interfaces to the hands.

    http://gazebosim.org/haptix

    • 4 недель назад
  • Andreacmelo
    Организатор конкурса
    • 1 месяц назад

    Sorry to keep you waiting Daya S. @DHJ2017

    The objectives:

    Demonstrate the functionality and to verify that the concept can be achieved in development.

    Aallowing developers to visualize how the product will function,

    it is a working interactive model of the product that gives an idea of the concept

    working on advances that helped revive interest in the field

    using an economical and easily reproducible setup as open source tools
    conforming to commercially available tech

    The source code to be used, modified and distributed commercially or non-commercially by anyone under the terms of GNU General Public License

    From the beginning, with the aim of being casually modified by volunteers coordinating only through the Internet.

    The quality maintained by the simple strategy of obtaining feedback and insights from users, creating a kind of gradual and participatory evolution.

    For insights visit sense-hub.com, there you can support us with your opinion or mini review

    • 1 месяц назад
  • DHJ2017
    DHJ2017
    • 1 месяц назад

    hi,
    Didn't catch what you want from us ? can we discuss over chat where to start ?

    • 1 месяц назад
  • Andreacmelo
    Организатор конкурса
    • 1 месяц назад

    Newton's First Law of Motion:

    An object at rest will remain at rest unless acted on by an unbalanced force.  Newton’s first law explains why it takes extra force to get moving

    This same principle serves to explain the difficulty of starting a project

    We are confident that you will be there to support us.

    For more information and insights, visit our Web site sense-hub.com

    • 1 месяц назад

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