Meta公司研发出一款腕带式设备，通过手势甚至意念控制电脑。该设备利用表面肌电图（sEMG）技术，非侵入式地追踪肌肉电活动，用户无需大幅度动作，只需意念即可操作。这项技术基于机器学习和AI，能够精准解码各种手势，甚至识别用户意图，为行动不便人士提供了更便捷的交互方式。该设备相较于脑机接口技术更为非侵入性，但目前仍处于实验阶段，尚未公布具体名称、价格或发布日期。

✨ **腕带式交互设备：** Meta公司开发了一款腕带式设备，通过非侵入性的表面肌电图（sEMG）技术，捕捉手腕肌肉的电活动，实现用户通过手势甚至意念来控制电脑和其他设备。

👆 **手势与意念控制：** 该设备允许用户在不大幅度移动身体的情况下，通过空中书写等手势操作，如移动光标、打字等。更重要的是，它能识别用户的意图，实现“想动就动”的控制方式，即用户只需产生动作的意念即可触发控制。

🧠 **AI驱动的精准解码：** 借助机器学习和AI技术，特别是经过大量用户数据训练的神经网络，该设备能够高度准确地解码各种细微手势，并识别用户意图，确保了交互的精准性和广泛适用性。

♿ **提升可及性：** 相较于需要植入脑部的脑机接口技术，Meta的腕带设备更为非侵入性，有望为行动不便的用户提供更便捷、更易于接受的电脑交互解决方案，提升科技的可及性。

🔬 **实验性与未来展望：** 目前，该设备仍处于实验性研发阶段，Meta尚未公布其具体名称、价格或上市时间。但这项技术预示着人机交互（HCI）领域可能迎来新的范式转变，未来发展值得关注。

Researchers at Meta have developed a wristwatch-style tool that can interact with devices using hand gestures — or even a thought.

As the company detailed in a blog post, the Bluetooth device lets users control a computer with their "hand resting comfortably at [their] side." It allows the user to do obvious things like move a cursor around, but users can also type out messages by writing out the letters in the air.

The device operates using "surface electromyography," a non-invasive way to track the electrical activity of muscles.

"Based on our findings, we believe that surface electromyography (sEMG) at the wrist is the key to unlocking the next paradigm shift in human-computer interaction (HCI)," the company said in the blog post.

Meta researchers also published a research paper about the device in the Nature science journal, which explained the new technology in slightly more complex terms — "Here, we describe the development of a generic non-invasive neuromotor interface that enables computer input decoded from surface electromyography (sEMG)."

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According to Meta researchers, this breakthrough is possible in large part because of machine learning and AI.

"Our neural networks are trained on data from thousands of consenting research participants, which makes them highly accurate at decoding subtle gestures across a wide range of people," the Meta blog post stated.

In fact, Meta said this process was so effective that the device can even recognize your intent to perform a gesture, which could let you control a device simply by thinking. As Thomas Reardon, one of the authors of the Meta research paper, told the New York Times, “You don’t have to actually move...You just have to intend the move.”

The wrist device could make computers more accessible to people with mobility challenges. That's because the device seems much less invasive than something like Neuralink, given that Meta's device doesn't require something to be implanted directly in your brain.

Of course, Meta's blog post didn't give the device a name, price, or release date. It seems much more experimental in nature than something that's intended for mass market adoption in the near future. We'll keep you posted if that changes.