Gait is closely associated with many chronic diseases. With the development of the Internet of Health Things (IoHT), long-term gait monitoring and corresponding analysis can be performed remotely, reducing a patient’s time and traffic cost, while providing doctors more valuable gait information. The presented work provides a feasible means for real-time, long-term, and accurate gait monitoring in an IoHT scenario. Through the experimental results, the high detection sensitivity of 54 mN and responsivity of 163 mV/N are achieved, thereby satisfying the need for analyzing various diseases. Furthermore, 16 hours continuous working time indicates its successful utilization during long-term gait monitoring.