Methodology for Attention Detection based on Heart Rate Variability

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This work proposes a methodology to measure attention. The proposed methodology, based on Heart Rate Variability (HRV), is composed by the following phases: pre-processing, feature extraction and data analytics. During pre-processing stage, the electrocardiogram (ECG) signal is filtered to remove noise from the signal and HRV signal from ECG is computed. In the feature extraction phase are computed the 12 features for HRV signal description based on linear methods. This 12 linear features include both features from time domain and from frequency domain. Data analytics step is responsible to analyze both the spectral power in the high-frequency (HF) band of the HRV signal and low frequency (LF) band. The proposed methodology was tested in a game playing scenario. Such scenario consists of playing game in two distinct circumstances: playing a game with background classic facilitator music, then with annoying music. The analysis of HF and LF parameters revealed a decrease in determined moments of the experience, which is aligned with a study arguing that those parameters decrease in attentional tasks. In this work variations of those parameters were correlated with the players perception of their attention.

Original languageEnglish
Title of host publicationINES 2018 - IEEE 22nd International Conference on Intelligent Engineering Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages395-400
Number of pages6
ISBN (Electronic)9781538611227
DOIs
Publication statusPublished - 5 Nov 2018
Event22nd IEEE International Conference on Intelligent Engineering Systems, INES 2018 - Las Palmas de Gran Canaria, Spain
Duration: 21 Jun 201823 Jun 2018

Conference

Conference22nd IEEE International Conference on Intelligent Engineering Systems, INES 2018
CountrySpain
CityLas Palmas de Gran Canaria
Period21/06/1823/06/18

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