“…To meet the computational demands of deep learning models, the integration of edge computing devices gives a promising solution. With the help of edge computing, the wearable sensor-based fall detection can achieve enhanced efficiency and responsiveness [ [25] , [26] , [27] , [28] , [29] , [30] ]. These devices can pre-process sensor data, extract relevant features, and even execute lightweight versions of deep learning models locally in the wearable sensors or at a nearby server.…”