Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables

Human activity recognition (HAR) is an important research field in ubiquitous computing where the acquisition of large-scale labeled sensor data is tedious, labor-intensive and time consuming. State-of-the-art unsupervised remedies investigated to alleviate the burdens of data annotations in HAR mai...

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Veröffentlicht in:	arXiv.org 2021-10
Hauptverfasser:	Abedin, Alireza, Rezatofighi, Hamid, Ranasinghe, Damith C
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Downstream effects Generative adversarial networks Human activity recognition Moving object recognition Representations Ubiquitous computing
Online-Zugang:	Volltext
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