——商业化的产品案例，引自DTing-虎嗅网
产品简介
DTing是一款感知交互设备，主要应用于手势识别，它依靠的是表面肌肉电信号和惯性原件技术，能通过裹在人体前臂上的传感器来监测手指牵引的相应肌肉群，并依靠核心算法翻译、转化成相应的信号输出。
DTing将肌肉电传感技术和人工智能技术相结合，建立了生物信号在医学和健康领域以外的创新型应用----人机交互。我们使用前臂肌肉群的表面肌肉电信息来进行手势的识别，既避免了现有机器视觉识别方式对于使用环境和场景的限制，又可以在使用的过程中避免占用双手。使得DTing可以实现手指手势、手腕动作和前臂动作的综合识别，在3D空间中进行。
基于高分辨率的电阻抗成像提高手势识别
Abstuct
Electrical Impedance Tomography (EIT，电阻抗成像) was recently employed in the HCI domain to detect hand gestures using an instrumented smartwatch.
This prior work demonstrated great promise for non-invasive, high accuracy recognition of gestures for interactive control（手势识别的交互）. We introduce a new system that offers improved sampling speed and resolution. In turn, this enables superior interior reconstruction and gesture recognition.
More importantly, we use our new system as a vehicle for experimentation – we compare two EIT sensing methods and three different electrode resolutions. Results from in-depth empirical evaluations and a user study shed light on the future feasibility of EIT for sensing human input.
总结：EIT的成像原理类同CT，本文基于不同动作肌肉群的成像不同做手势的识别。结合了CNN+图像-》分类问题的套路，正确率也不错。
Zhang Y, Xiao R, Harrison C. Advancing Hand Gesture Recognition with High Resolution Electrical Impedance Tomography[C]//Proceedings of the 29th Annual Symposium on User Interface Software and Technology. ACM, 2016: 843-850.
转载链接：https://zhuanlan.zhihu.com/p/26010511
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