红点产品设计大奖

BrainRobotics

由于人手的自然运动非常复杂,因此为截肢者打造功能齐全的假肢是真正的设计难题。 人们熟知的金属挂钩和静态假肢仅提供有限的功能,而机械假肢需要通过物理按钮或摇动假肢在预定义的动作之间进行切换,在这样的背景下,BrainRobotics打造了人工智能手部假体。成本相对较低的BrainRobotics假体结合了人工智能和个性化编程。这种新功能性的实现是基于肌电传感器,传感器捕获来自用户残肢的肌肉信号,然后将其转化为运动。因此,手部假体能够对用户的预期动作和手势做出反应,并且几乎可以凭直觉执行。不同的手势只需花费几分钟即可完成编程。因此手部截肢患者不再需要依靠有限数量的预编程动作。相反,他们可以根据个人需要,轻松定制假体的运动方式。此外,集成的AI采用了允许手部假体和用户交互学习的算法,使每次使用时的动作都更加逼真。

Since the natural movements of the human hand are highly complex, creating and providing adequately functional tools for people with amputations is a true design challenge. The BrainRobotics hand prosthesis has been created against the background that the familiar metal hooks or static prostheses offer only limited functionality and that robotic prosthetics for one rely on physical buttons or shaking the prosthesis and yet only offer switching between predefined gestures. The comparatively very cost-effective BrainRobotics prosthetic hand incorporates artificial intelligence and individual programming options. This new approach towards functionality is based on electromyography sensors that capture muscle signals from the user’s residual limb and then translate them into movements. The prosthetic hand is thus able to react to and almost intuitively perform the user’s intended movements and gestures. Different gestures only take a few minutes to be programmed. As a result, people with hand amputations no longer need to rely on a limited number of preprogrammed movements. Rather, they can easily customise the movement patterns of the prosthesis according to their individual needs. In addition, the integrated AI employs an algorithm that allows the hand and user to interactively learn from each other to make the movements more lifelike with each use.

制造商 / Manufacturer:

BrainCo

自主设计 / In-house design

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