| Summary: | Abstract By the popularization of Internet, and mobile terminals, there are more and more activities that are helpful for rehabilitation training. Among them, software products represented by sports pedometers have attracted much attention. Based on mastering one’s own physical condition, one can carry out effective social activities, such as brisk walking, running, etc., to improve people’s communication, thereby enriching people’s leisure activities, and thus achieving the purpose of rehabilitation. Therefore, this paper proposes the design, and implementation of basic course teaching system for sports rehabilitation based on the Android platform. This paper mainly analyzed the health system of Android platform. Researchers have thoroughly researched Motor Imagery (MI) rehabilitation training, and their algorithm has been analyzed. An experiment on its efficacy was also conducted in the experimental part, along with a system modeling exercise. The final experimental results showed that the success rate of motor imagery direction control in G1 group was 59.88%, 58.89%, and 59.22%, and the G2 group was 64.22%, 63.33%, and 64.11%. The results showed that G2 using feedback information had a significantly higher success rate of action imagery than G1 that did not provide the feedback information under different test modes. Therefore, feedback information in motor fantasy training can improve motor fantasy effect.
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