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This article develops a low-cost multi-channel impedance measurement device as a teaching tool based on the electrical impedance tomography (EIT) technique. The device is applied for the teaching of "signal analysis and processing" related courses in the subject of instrumentation science and technology, which can reconstruct images of conductivity distributions within a domain of interest and recognize a variety of human gestures based on machine learning. This auxiliary teaching tool could help students deepen the understanding of core knowledge in the course, such as analog signal processing by operational amplification, signal sampling and discretization, discrete Fourier transform, and data classification through machine learning. The proposed teaching tool is easy to demonstrate during classes, which can help improve teaching efficiency and enhance students’ interests towards related knowledge. |
