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In intelligent control of human-computer interaction, the electromyographic (EMG)signal collection to the human body has become the important step of human-computer interaction. This paper designs an 16 channel EMG signal acquisition and filter circuit, and uses the DSP28335 to collect and process EMG signals, and communicate with the host computer. We can arbitrarily adjust the sampling frequency and communication rate to meet the requirements of different experiments or equipments. The experimental results show that the designed neural interface device of the EMG signals has the good stability and strong anti-interference ability, which can effectively gather arm’s EMG signals and retain their movement characteristics to meet the requirements of the neural decoding of the EMG signals.