A smart home system for elderly living alone based on an improved DS algorithm and multi-sensor data fusion

A smart home system design method is proposed to address the challenges faced by the elderly living alone using smart home systems. By introducing a fuzzy control algorithm, the stability and fault tolerance of the system are enhanced, and the accuracy of device coordination is improved. The experimental results show that the proposed method has an average absolute error of 1.483 and a root mean square error of 1.976, which are lower than the traditional algorithms by 1.012 and 1.486, respectively. The data processing efficiency is improved by 23%, and the system response time is shorter than that of other algorithms, and the overall operation efficiency is enhanced. In addition, the system operates stably with a packet loss rate of 0.174% and a high data transmission speed, which proves that the method has a large potential in practical applications.