Senti : a wearable sensor for physiological data acquisition in early education
Name
1018308103-MIT.pdf
Description
Full printable version
Size
11.34 MB
Format
Adobe PDF
Checksum (MD5)
b5ae70e5625491a1342b3c5b98be76ef
Author(s)
Koren, Gal, M. Eng. Massachusetts Institute of Technology
Advisor(s)
Sepandar Kamvar.
Alternative Title
Wearable sensor for physiological data acquisition in early education
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
Wearable sensors have been used in research efforts aiming to develop a mapping between physiological responses of the autonomic nervous system, namely electrodermal activity and heart rate variability, to emotional reactions such as arousal, stress, and attention. While many studies conducted with existing sensors have focused primarily on adults, some have recently begun utilizing them to characterize cognitive and social processes in children. As research in early childhood development continues, a physiological sensor tailored for data acquisition in early education environments, where children spend much of their time socializing and learning, will prove especially valuable for advancing further studies in the field. In this thesis, I present the design and implementation of a compact and lightweight wristband monitor for children, that unobtrusively tracks a set of vital signs that are known to demonstrate sympathetic and parasympathetic responses in the general population. The finalized system is evaluated for data quality and ease of analysis by applying signal processing methods on data collected over a two-week period at a Montessori preschool, where children continuously wore the device each day while engaging in various lesson activities and social interactions.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 79-80).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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