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

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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Bibliographic Details
Main Authors: Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang, Marcin Grzegorzek
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
transfer learning
deep learning
time-series classification
wearable computing
human activity recognition
emotion recognition
Online Access:https://www.mdpi.com/1424-8220/20/15/4271

Internet

https://www.mdpi.com/1424-8220/20/15/4271

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