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dc.contributor.advisorJoseph A. Paradiso.en_US
dc.contributor.authorChwalek, Patrick(Patrick C.)en_US
dc.contributor.otherProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.date.accessioned2021-01-06T20:15:58Z
dc.date.available2021-01-06T20:15:58Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129276
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 101-106).en_US
dc.description.abstractSmart environments amplify the lived experience within a space by learning and adapting to the preferences of the users within them. Unfortunately, these preferences are dependent on internal cognitive states of users, a characteristic that is not available to be sensed robustly across contexts. In addition, many sensing systems that are designed to sense users within specific contexts but often fail to adequately address privacy concerns. Captivates are a wearable eyeglass platform that attempts to fill this gap in sensing, allowing for the capture of physiological signals that have shown correlation to specific cognitive states. The system was designed with a few diverse sensing technologies that as a whole, can create a robust cognitive sensing architecture that won't impede a user's experience. Captivates are designed to be used across contexts and throughout the day, collecting samples of your physiological responses that can better inform individualized models of a user's internal states, leading to a more responsive environment that takes the human element into consideration. Captivates are able to continuously sample and stream data through a wireless network that is mesh-capable, allowing for applications that require scale with limited infrastructure. The sensing modalities include face temperature, blink rate, head pose, and 3D location but can be extended or reduced for other applications. The system was built using recommendations from eyeglass manufacturers on how to create a robust smart eyewear system that shares the aesthetic of more traditional eyeglasses. The system was initially designed to aid in data collection for cognitive modelling efforts but is also a platform for others to use for similar or orthogonal researcher efforts. Apart from the sensing channels, several touch points and LEDs exist on the device to allow for applications that require user input or actuation.en_US
dc.description.statementofresponsibilityby Patrick Chwalek.en_US
dc.format.extent106 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectProgram in Media Arts and Sciencesen_US
dc.titleCaptivates : a smart eyewear platform for ambulatory physiological measurement captureen_US
dc.title.alternativeSmart eyewear platform for ambulatory physiological measurement captureen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.identifier.oclc1227785031en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciencesen_US
dspace.imported2021-01-06T20:15:57Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentMediaen_US


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