{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/145065"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/145065","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Towards Perturbation-free Identification of Human Standing Balance","abstract":"Balance disorders affect millions in the United States alone. Despite the large body of literature in the field, we do not yet fully understand the neuromuscular control of balance. A method to estimate natural, unperturbed standing balance dynamics would provide a necessary tool to examine the apparent control mechanisms employed by healthy individuals, and lead to insight and inspiration for developing effective rehabilitation and assistive technologies for those with balance impairments. In this thesis, a correlation-based system identification method has been investigated as a candidate for perturbation-free identification of human standing balance. The method was tested in simulation to understand its strengths and limitations, and was successfully validated on a hardware system. However, existing human quiet standing data revealed that the posture control process cannot be modelled by a stationary process at the time scales of interest, as required by the system identification method. Accordingly, the perturbation-free system identification of balance dynamics and control remains an area for ongoing research.","abstract_html":"Balance disorders affect millions in the United States alone. Despite the large body of literature in the field, we do not yet fully understand the neuromuscular control of balance. A method to estimate natural, unperturbed standing balance dynamics would provide a necessary tool to examine the apparent control mechanisms employed by healthy individuals, and lead to insight and inspiration for developing effective rehabilitation and assistive technologies for those with balance impairments. In this thesis, a correlation-based system identification method has been investigated as a candidate for perturbation-free identification of human standing balance. The method was tested in simulation to understand its strengths and limitations, and was successfully validated on a hardware system. However, existing human quiet standing data revealed that the posture control process cannot be modelled by a stationary process at the time scales of interest, as required by the system identification method. Accordingly, the perturbation-free system identification of balance dynamics and control remains an area for ongoing research.","abstract_has_math":false,"creators":["Sugimoto Dimitrova, Rika"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Mechanical Engineering","school":null,"contributors":[],"advisors":["Hogan, Neville"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:20:51Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"rights_urls":["http://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/145065","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Hogan, Neville"]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. 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Despite the large body of literature in the field, we do not yet fully understand the neuromuscular control of balance. A method to estimate natural, unperturbed standing balance dynamics would provide a necessary tool to examine the apparent control mechanisms employed by healthy individuals, and lead to insight and inspiration for developing effective rehabilitation and assistive technologies for those with balance impairments. In this thesis, a correlation-based system identification method has been investigated as a candidate for perturbation-free identification of human standing balance. The method was tested in simulation to understand its strengths and limitations, and was successfully validated on a hardware system. However, existing human quiet standing data revealed that the posture control process cannot be modelled by a stationary process at the time scales of interest, as required by the system identification method. Accordingly, the perturbation-free system identification of balance dynamics and control remains an area for ongoing research."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["Towards Perturbation-free Identification of Human Standing Balance"]}]}],"canonical_facts":{"dc:contributor.advisor":["Hogan, Neville"],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Mechanical Engineering"],"dc:creator":["Sugimoto Dimitrova, Rika"],"dc:date.accessioned":["2022-08-29T16:30:35Z"],"dc:date.available":["2022-08-29T16:30:35Z"],"dc:date.issued":["2022-05"],"dc:description.abstract":["Balance disorders affect millions in the United States alone. Despite the large body of literature in the field, we do not yet fully understand the neuromuscular control of balance. A method to estimate natural, unperturbed standing balance dynamics would provide a necessary tool to examine the apparent control mechanisms employed by healthy individuals, and lead to insight and inspiration for developing effective rehabilitation and assistive technologies for those with balance impairments. In this thesis, a correlation-based system identification method has been investigated as a candidate for perturbation-free identification of human standing balance. The method was tested in simulation to understand its strengths and limitations, and was successfully validated on a hardware system. However, existing human quiet standing data revealed that the posture control process cannot be modelled by a stationary process at the time scales of interest, as required by the system identification method. Accordingly, the perturbation-free system identification of balance dynamics and control remains an area for ongoing research."],"dc:description.degree":["S.M."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/145065"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"dc:rights.uri":["http://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["Towards Perturbation-free Identification of Human Standing Balance"],"dc:type":["Thesis"],"thesis:degree_name":["Master","Master of Science in Mechanical Engineering"]},"updated_at":"2026-07-22T22:20:51Z"}