{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1573"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1573","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Methods to obtain pedestrian distance walked via inertial measurement units","abstract":"A mobile App designed to help stroke patients with their rehabilitation is in development. This App, designed to work with one or two inertial measurement units (IMUs), requires gait analysis as one of its components. The most difficult part of performing this analysis is determining how far the patient has walked. Two competing methods were identified to gather this data. The first method uses angles and trigonometry to determine the length of each step. The second uses calculus to integrate the accelerometer readings from the IMU. In this thesis, both methods are investigated to see which one appears more promising for use in the App. Additionally, some suggestions on how to proceed with the App once this decision has been made are listed.","abstract_html":"A mobile App designed to help stroke patients with their rehabilitation is in development. This App, designed to work with one or two inertial measurement units (IMUs), requires gait analysis as one of its components. The most difficult part of performing this analysis is determining how far the patient has walked. Two competing methods were identified to gather this data. The first method uses angles and trigonometry to determine the length of each step. The second uses calculus to integrate the accelerometer readings from the IMU. In this thesis, both methods are investigated to see which one appears more promising for use in the App. Additionally, some suggestions on how to proceed with the App once this decision has been made are listed.","abstract_has_math":false,"creators":["Williams, Brian"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Sartipi, Mina","Tanis, Craig; Liang, Yu","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:28Z","subjects":["Gait in humans"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/433","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sartipi, Mina","Tanis, Craig; Liang, Yu","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Williams, Brian"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-08-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Gait in humans"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/433"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Computer Science and Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["A mobile App designed to help stroke patients with their rehabilitation is in development. This App, designed to work with one or two inertial measurement units (IMUs), requires gait analysis as one of its components. The most difficult part of performing this analysis is determining how far the patient has walked. Two competing methods were identified to gather this data. The first method uses angles and trigonometry to determine the length of each step. The second uses calculus to integrate the accelerometer readings from the IMU. In this thesis, both methods are investigated to see which one appears more promising for use in the App. Additionally, some suggestions on how to proceed with the App once this decision has been made are listed."]},{"key":"dc:title","label":"Title","values":["Methods to obtain pedestrian distance walked via inertial measurement units"]}]}],"canonical_facts":{"dc:contributor":["Sartipi, Mina","Tanis, Craig; Liang, Yu","College of Engineering and Computer Science"],"dc:creator":["Williams, Brian"],"dc:date":["2015-08-01T07:00:00Z"],"dc:description":["Dept. of Computer Science and Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["A mobile App designed to help stroke patients with their rehabilitation is in development. This App, designed to work with one or two inertial measurement units (IMUs), requires gait analysis as one of its components. The most difficult part of performing this analysis is determining how far the patient has walked. Two competing methods were identified to gather this data. The first method uses angles and trigonometry to determine the length of each step. The second uses calculus to integrate the accelerometer readings from the IMU. In this thesis, both methods are investigated to see which one appears more promising for use in the App. Additionally, some suggestions on how to proceed with the App once this decision has been made are listed."],"dc:identifier":["https://scholar.utc.edu/theses/433"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Gait in humans"],"dc:title":["Methods to obtain pedestrian distance walked via inertial measurement units"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:28Z"}