dc.creator | Dorronzoro Zubiete, Enrique | es |
dc.creator | Nakahata, Keigo | es |
dc.creator | Imamoglu, Nevrez | es |
dc.creator | Sekine, Masashi | es |
dc.creator | Sun, Guanghao | es |
dc.creator | Gómez González, Isabel María | es |
dc.creator | Yu, Wenwei | es |
dc.date.accessioned | 2017-02-14T10:16:44Z | |
dc.date.available | 2017-02-14T10:16:44Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Dorronzoro Zubiete, E., Nakahata, K., Imamoglu, N., Sekine, M., Sun, G., Gómez González, I.M. y Yu, W. (2016). Evaluation of a Home Biomonitoring Autonomous Mobile Robot. Computational Intelligence and Neuroscience, 2016 (Article ID 9845816) | |
dc.identifier.issn | 1687-5265 | es |
dc.identifier.uri | http://hdl.handle.net/11441/54046 | |
dc.description.abstract | Increasing population age demands more services in healthcare domain. It has been shown that mobile robots could be a potential
solution to home biomonitoring for the elderly. Through our previous studies, a mobile robot system that is able to track a subject
and identify his daily living activities has been developed. However, the system has not been tested in any home living scenarios.
In this study we did a series of experiments to investigate the accuracy of activity recognition of the mobile robot in a home
living scenario. The daily activities tested in the evaluation experiment include watching TV and sleeping. A dataset recorded
by a distributed distance-measuring sensor network was used as a reference to the activity recognition results. It was shown that
the accuracy is not consistent for all the activities; that is,mobile robot could achieve a high success rate in some activities but a poor
success rate in others. It was found that the observation position of the mobile robot and subject surroundings have high impact
on the accuracy of the activity recognition, due to the variability of the home living daily activities and their transitional process.
The possibility of improvement of recognition accuracy has been shown too. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Hindawi Publishing Corporation | es |
dc.relation.ispartof | Computational Intelligence and Neuroscience, 2016 (Article ID 9845816) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Evaluation of a Home Biomonitoring Autonomous Mobile Robot | 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.publisherversion | https://www.hindawi.com/journals/cin/2016/9845816/abs/ | es |
dc.identifier.doi | 10.1155/2016/9845816 | es |
dc.contributor.group | Universidad de Sevilla. TIC022: Tecnologías para la asistencia, la investigación y la salud | es |
idus.format.extent | 8 | es |
dc.journaltitle | Computational Intelligence and Neuroscience | es |
dc.publication.volumen | 2016 | es |
dc.publication.issue | Article ID 9845816 | es |