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dc.contributor.authorSano, Akane
dc.contributor.authorPicard, Rosalind W.
dc.date.accessioned2014-12-22T18:33:37Z
dc.date.available2014-12-22T18:33:37Z
dc.date.issued2014-03
dc.identifier.urihttp://hdl.handle.net/1721.1/92441
dc.description.abstractIn our research, we aim (1) to recognize human internal states and behaviors (stress level, mood and sleep behaviors etc), (2) to reveal which features in which data can work as predictors and (3) to use them for intervention. We collect multi-modal (physiological, behavioral, environmental, and social) ambulatory data using wearable sensors and mobile phones, combining with standardized questionnaires and data measured in the laboratory. In this paper, we introduce our approach and some of our projects.en_US
dc.language.isoen_US
dc.publisherAssociation for the Advancement of Artificial Intelligenceen_US
dc.relation.isversionofhttps://www.aaai.org/ocs/index.php/SSS/SSS14/paper/viewFile/7708/7784en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleUnderstanding Ambulatory and Wearable Data for Health and Wellnessen_US
dc.typeArticleen_US
dc.identifier.citationSano, Akane, and Rosalind W. Picard. "Understanding Ambulatory and Wearable Data for Health and Wellness." Proceedings of the 2014 AAAI Spring Symposium Series (March 2014).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.mitauthorSano, Akaneen_US
dc.contributor.mitauthorPicard, Rosalind W.en_US
dc.relation.journalProceedings of the 2014 AAAI Spring Symposium Seriesen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsSano, Akane; Picard, Rosalind W.en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4484-8946
dc.identifier.orcidhttps://orcid.org/0000-0002-5661-0022
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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