Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification

The scarcity of labelled time-series data can hinder a proper training of deep learning models. This is especially relevant for the growing field of ubiquitous computing, where data coming from wearable devices have to be analysed using pattern recognition techniques to provide meaningful applicatio...

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Auteurs principaux:	Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang, Marcin Grzegorzek
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2020-07-01
Collection:	Sensors
Sujets:	transfer learning deep learning time-series classification wearable computing human activity recognition emotion recognition
Accès en ligne:	https://www.mdpi.com/1424-8220/20/15/4271
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