In this work, we developed a stationary bike reality simulation training device. The core of the system is an ATMega 162 microcontroller, produced by Atmel, which is combined with a real-time clock (DS1287), a 16 × 4 backlight liquid crystal display (LCD) module, an ICL232 level shifter chip, and a radio frequency identification device (RFID) card and its reader. The system is operated in coordination with a graphic control interface in Chinese, designed on Weintek's touch panel, to create an operational simulation environment. Users can select the cycle path using a human–machine interface. The stationary bike assistive training device that is proposed in this paper helps riders undertake simulation-based training before cycling along a real cycle path. They can cycle along the real path after satisfying certain criteria and passing a test. When the wheels of the bike are revolving, a Hall sensor and our magnets generate pulse signals. A memory control unit (MCU) is used to read pulse signals, calculate riding speed, and accumulate the mileage and time ridden. Each riding record, including mileage, duration, average speed, and the path chosen, will be recorded in the RFID card. When the riding database is turned on, the data in the memory of the RFID card are read automatically; the last eight training records are displayed on the touch panel.