A framework for collecting data : revising sensor synchronization methods
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2017
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| Online Access: | http://hdl.handle.net/1721.1/112589 |
| _version_ | 1826190502406389760 |
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| author | Gonzalez, Sara (Sara H.) |
| author2 | Leia Stirling. |
| author_facet | Leia Stirling. Gonzalez, Sara (Sara H.) |
| author_sort | Gonzalez, Sara (Sara H.) |
| collection | MIT |
| description | Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. |
| first_indexed | 2024-09-23T08:41:14Z |
| format | Thesis |
| id | mit-1721.1/112589 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:41:14Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1125892019-04-09T19:13:43Z A framework for collecting data : revising sensor synchronization methods Gonzalez, Sara (Sara H.) Leia Stirling. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (page 29). Data collection is frequently carried out in research, as well as in industry for purposes ranging from quality control to assessing system limits. However, several complications may arise to hinder optimal data collection and analysis, including synchronization of different data types from a variety of sensors. A benchtop model was designed with the primary goal of understanding human-spacesuit interactions through the collection and analysis of force, pressure, and internal kinematics data. This thesis addresses shortcomings in the setup that led to difficulty in data analysis and synchronization and presents a revised framework for collecting these data. A system was designed such that the start of each trial of data collection can be synced across the three types of sensors: a load cell, a pressure mat, and inertial measurement units. by Sara Gonzalez. S.B. 2017-12-05T19:19:31Z 2017-12-05T19:19:31Z 2017 2017 Thesis http://hdl.handle.net/1721.1/112589 1013463544 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 34 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Gonzalez, Sara (Sara H.) A framework for collecting data : revising sensor synchronization methods |
| title | A framework for collecting data : revising sensor synchronization methods |
| title_full | A framework for collecting data : revising sensor synchronization methods |
| title_fullStr | A framework for collecting data : revising sensor synchronization methods |
| title_full_unstemmed | A framework for collecting data : revising sensor synchronization methods |
| title_short | A framework for collecting data : revising sensor synchronization methods |
| title_sort | framework for collecting data revising sensor synchronization methods |
| topic | Mechanical Engineering. |
| url | http://hdl.handle.net/1721.1/112589 |
| work_keys_str_mv | AT gonzalezsarasarah aframeworkforcollectingdatarevisingsensorsynchronizationmethods AT gonzalezsarasarah frameworkforcollectingdatarevisingsensorsynchronizationmethods |