METIER: A Deep Multi-Task Learning Based Activity and User Recognition Model Using Wearable Sensors
一、 概述 1. 文章的Motivation 活动识别（AR）： 训练好的动作识别模型通常不具有泛化能力，就是说在做实验的这批用户表现可能还可以，但是换一批用户表现就下降了 所以动作识别也有两种极端，一种是追求识别的精度，这种采用的方法是个性化定制，为某个人或者某些人专门训练一个模型出来；第二种是追求泛化性，通过神经网络（比如GAN网络）提取域无关的特性，也就是提取共性，这样的模型在不同的用户群体
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