SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning

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Title

SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning

Content partner

The University of Auckland Library

Collection

ResearchSpace@Auckland

Description

Extracting emotions from physiological signals has become popular over the past decade. Recent advancements in wearable smart devices have enabled capturing physiological signals continuously and unobtrusively. However, signal readings from different smart wearables are lossy due to user activities, making it difficult to develop robust models for emotion recognition. Also, the limited availability of data labels is an inherent challenge for developing machine learning techniques for emotion ...

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Format

Research paper

Research format

Journal article

Date created

2022-01-01

Creator

Dissanayake, Vipula / Seneviratne, Sachith / Rana, Rajib / Wen, Elliott / Kaluarachchi, Tharindu / Nanayakkara, Suranga

URL

https://hdl.handle.net/2292/59913

Related subjects

Basic Behavioral and Social Science / Behavioral and Social Science / Science & Technology / Technology / Computer Science, Information Systems / Engineering, Electrical & Electronic / Telecommunications / Computer Science / Engineering / Emotion recognition / Task analysis / Sensors / Wearable computers / Representation learning / Electroencephalography / Brain modeling / self-supervised learning / wearable signals / 08 Information and Computing Sciences / 09 Engineering / 10 Technology

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