In this study, we combine the received signal strength (RSS) signal of a wireless fidelity (WIFI) router and the signal of a gyroscope on a medical assistive device to propose an indoor automated navigation system for medical assistive devices. The system meets the needs of a home environment that has only one WIFI router and satisfies the low-bandwidth conditions. It also interacts with the environment to map out an evacuation route using the Bezier curve and takes the structure of a traditional medical assistive device into consideration. During the navigation process, the received signal strength indication (RSSI) signal of the WIFI router and the additional gyroscope information on the medical assistive device are detected to perform positioning. At the fastest, only two axes and three points (TATP) are needed for indoor positioning. Thanks to the lesser need of bandwidth, this method is useful for improving the efficiency of navigation and resolving the congestion problem. It also utilizes the Bezier curve to build proper navigation routes automatically and lessen the burden for humans as a result. Finally, in this study, we use ATMEL 328PU as the control center to design a navigation vehicle that simulates the medical assistive device. A personal computer (PC) is utilized as a recording center, and the bluetooth communication module and the navigation vehicle function as information-transmitting channels to construct a hardware testing platform. The software Matlab© is used for analysis and recording on the PC. Lastly, the final data result is used to prove the accuracy and feasibility of the theory.