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Use of artificial intelligence and neural networks for analysis and gesture detection in electrical impedance tomography

机译:使用人工智能和神经网络在电阻抗断层扫描中的分析和手势检测

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Artificial intelligence and neural networks are getting more and more relevant for several types of application.The field of prosthesis technology currently uses electromyography for controllable prosthesis.The precision of the control suffers from the use of EMG.More precise and more collected data with the help of EIT allows a much more precise analysis and control of the prosthesis.In this paper a neural network for gesture detection using EIT is developed and presented in a user-friendly way.
机译:人工智能和神经网络对多种类型的应用越来越重要。假体技术领域目前使用肌电学进行可控假体。控制的精确性遭受了EMG.MORE精确和更多收集的数据的帮助 EIT允许对假肢进行更精确的分析和控制。本文以用户友好的方式开发和呈现使用EIT的姿态检测神经网络。

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