METIER: A Deep Multi-Task Learning Based Activity and User Recognition Model Using Wearable Sensors
一、 概述 1. 文章的Motivation 活動識別（AR）： 訓練好的動作識別模型通常不具有泛化能力，就是說在做實驗的這批用戶表現可能還可以，但是換一批用戶表現就下降了 所以動作識別也有兩種極端，一種是追求識別的精度，這種採用的方法是個性化定製，爲某個人或者某些人專門訓練一個模型出來；第二種是追求泛化性，通過神經網絡（比如GAN網絡）提取域無關的特性，也就是提取共性，這樣的模型在不同的用戶羣體
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相關文章
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