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Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables
dc.creator | Castro García, Juan Antonio | es |
dc.creator | Molina Cantero, Alberto Jesús | es |
dc.creator | Gómez González, Isabel María | es |
dc.creator | Lafuente Arroyo, Sergio | es |
dc.creator | Merino Monge, Manuel | es |
dc.date.accessioned | 2022-02-07T09:03:07Z | |
dc.date.available | 2022-02-07T09:03:07Z | |
dc.date.issued | 2022-01-02 | |
dc.identifier.citation | Castro García, J.A., Molina Cantero, A.J., Gómez González, I.M., Lafuente Arroyo, S. y Merino Monge, M. (2022). Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables. Electronics, 11 (1) | |
dc.identifier.issn | 2079-9292 | es |
dc.identifier.uri | https://hdl.handle.net/11441/129697 | |
dc.description.abstract | Detecting stress when performing physical activities is an interesting field that has received relatively little research interest to date. In this paper, we took a first step towards redressing this, through a comprehensive review and the design of a low-cost body area network (BAN) made of a set of wearables that allow physiological signals and human movements to be captured simultaneously. We used four different wearables: OpenBCI and three other open-hardware custom-made designs that communicate via bluetooth low energy (BLE) to an external computer—following the edge-computingconcept—hosting applications for data synchronization and storage. We obtained a large number of physiological signals (electroencephalography (EEG), electrocardiography (ECG), breathing rate (BR), electrodermal activity (EDA), and skin temperature (ST)) with which we analyzed internal states in general, but with a focus on stress. The findings show the reliability and feasibility of the proposed body area network (BAN) according to battery lifetime (greater than 15 h), packet loss rate (0% for our custom-made designs), and signal quality (signal-noise ratio (SNR) of 9.8 dB for the ECG circuit, and 61.6 dB for the EDA). Moreover, we conducted a preliminary experiment to gauge the main ECG features for stress detection during rest | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades PID2019-104323RB-C32 | es |
dc.description.sponsorship | Agencia Estatal de Investigación 10.13039/501100011033 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación PID2019-104323RB-C31 | es |
dc.format | application/pdf | es |
dc.format.extent | 30 | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Electronics, 11 (1) | |
dc.subject | Wearable | es |
dc.subject | Emotion | es |
dc.subject | Stress | es |
dc.subject | Human activity recognition | es |
dc.subject | EDA | es |
dc.subject | ECG | es |
dc.subject | EEG | es |
dc.subject | BR | es |
dc.subject | ST | es |
dc.subject | Inertial units | es |
dc.title | Towards Human Stress and Activity Recognition: A Review and a First Approach Based on Low-Cost Wearables | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.projectID | PID2019-104323RB-C32 | es |
dc.relation.projectID | 10.13039/501100011033 | es |
dc.relation.projectID | PID2019-104323RB-C31 | es |
dc.relation.publisherversion | https://www.mdpi.com/2079-9292/11/1/155 | es |
dc.identifier.doi | 10.3390/electronics11010155 | |
dc.contributor.group | Universidad de Sevilla. TIC022: Tecnologías para la Asistencia, la Integración y la Salud | es |
dc.journaltitle | Electronics | es |
dc.publication.volumen | 11 | es |
dc.publication.issue | 1 | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |
dc.contributor.funder | Agencia Estatal de Investigación. España | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
Ficheros | Tamaño | Formato | Ver | Descripción |
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electronics-11-00155.pdf | 2.057Mb | ![]() | Ver/ | |
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