Multi-modal fusion fall-off detection method and wearable device

The invention provides a multi-modal fusion fall-off detection method and a wearable device wherein the multi-modal fusion fall-off detection method comprises the following steps: step 1, collecting multiple items of data of the wearable device, and checking and repairing each item of data to form multi-modal data; and 2, carrying out classified statistics on the multi-modal data, inputting the multi-modal data into the falling monitoring algorithm analysis model, and outputting an equipment falling detection state. The method has the advantages that the wearable device is monitored in real time, whether the wearable device is worn correctly or not is monitored, and it is guaranteed that the wearable device normally collects physical sign data. 本发明提供一种多模态融合脱落检测方法及穿戴设备，其中多模态融合脱落检测方法包括如下步骤：步骤1、采集穿戴设备的多项数据，并对每项数据排查修复，形成多模态数据；步骤2、分类统计多模态数据，将多模态数据输入到脱落监测算法分析模型，输出设备脱落检测状态。本发明的有益效果是：对穿戴设备实时监测，监测其是否正确穿戴，保障穿戴设备正常采集体征数据。