Objective: With the development of human-machine interface, the biomedical signal-based inte- raction system would be more natural and direct. On the other hand, telecommunication has wide applications in various fields. The objective of this study is to realize a sEMG-based wireless inte- raction control system. Method: According to the characteristics of sEMG signal, a record and am- plifier circuit was designed. The recorded sEMG is passing through a band pass filter. The feature of integration was calculated and transited into binary logical values. The obtained binary logical values were transferred to control module by using ZigBee technique. Finally, the interaction con- trol was realized. Results: Totally 4 healthy subjects with an average age of 20 years old were par- ticipated. The subjects were asked to do four kinds of hand movements and three channels of sEMG signals were recorded. Based on the testing results, the accuracy of control command ex- traction based on sEMG signal analysis and ZigBee transmission was near to 100%. The presented system has the functions of real-time record, analysis, transmit and control. Conclusion: The de- veloped sEMG-based wireless interaction control system has good performance in real-time processing, which can be usable for telecommunication and rehabilitation applications.
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