{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80876"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80876","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Democratizing Gait Analysis in Ecological Settings: Implementation, Validation and Applications","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Ajay, Jerry Antony"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Xu, Wenyao","Computer Science and Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-10-29T16:47:47Z","date_published":"2019-10-29T16:47:47Z","updated_at":"2026-07-27T19:05:25Z","subjects":["computer engineering","physical therapy"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/80876","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Xu, Wenyao","Computer Science and Engineering"]},{"key":"dc:creator","label":"Author","values":["Ajay, Jerry Antony"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-10-29T16:47:47Z","2019","2019-08-01 14:34:26"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["computer engineering","physical therapy"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/80876"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Recent advances in smart devices have made seamless monitoring of an individual’s gait in ecological settings possible. Several applications are envisioned that bring clinicians and technologists to work together in monitoring health through gait in a large ecological scale. With proven viability that technology can aid in pervasive healthcare, it is still very challenging to establish a common notion of ’trust’ between technologists and therapists due to factors such as adherence of technology to ground truth, and the like. To mitigate such fundamental challenges, in this dissertation, two works are presented that have been devised both by technologist and therapists right from the inception. The works include: 1) a wearable-cloud (WC) framework, and 2) a smartphone-cloud (SC) framework. The goal of this dissertation is to portray the methodologies required to establish the common ’trust’ between technologists and therapists. WC-framework provides a framework for Stroke affected individuals and therapists to remotely connect with one another. The SC-framework uses vision-based advancements to aid individuals to self-monitor their gait using a smartphone camera, with a special emphasis in monitoring a Parkinsonian Gait."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Democratizing Gait Analysis in Ecological Settings: Implementation, Validation and Applications"]}]}],"canonical_facts":{"dc:contributor":["Xu, Wenyao","Computer Science and Engineering"],"dc:creator":["Ajay, Jerry Antony"],"dc:date":["2019-10-29T16:47:47Z","2019","2019-08-01 14:34:26"],"dc:description":["Ph.D.","Recent advances in smart devices have made seamless monitoring of an individual’s gait in ecological settings possible. Several applications are envisioned that bring clinicians and technologists to work together in monitoring health through gait in a large ecological scale. With proven viability that technology can aid in pervasive healthcare, it is still very challenging to establish a common notion of ’trust’ between technologists and therapists due to factors such as adherence of technology to ground truth, and the like. To mitigate such fundamental challenges, in this dissertation, two works are presented that have been devised both by technologist and therapists right from the inception. The works include: 1) a wearable-cloud (WC) framework, and 2) a smartphone-cloud (SC) framework. The goal of this dissertation is to portray the methodologies required to establish the common ’trust’ between technologists and therapists. WC-framework provides a framework for Stroke affected individuals and therapists to remotely connect with one another. 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