{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/90662"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/90662","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Mobofoto: a mobile platform for concentration measurement through colorimetric analysis","abstract":"Traditional colorimetric measurement is widely used in chemical concentration estimation. However, compared to the laboratory solutions for accurate measurements with professional measuring equipment, colorimetric measurement is often more qualitative than quantitative. It would be most productive if we were only looking for a range of readings to draw a qualitative analysis conclusion. This means the traditional colorimetric measurement would only be an appropriate implementation for pre-medical self-diagnoses at home. Since it can only provide limited information about the tested chemical solutions, we are now featuring MoboFoto, an integrated mobile platform applying image analysis based on traditional colorimetric method to provide a more quantitative measurement, which can be used clinically. The mobile integration enables high-accuracy measurement and data visualization with a more affordable cost in a user-friendly setup environment. And the power of mobile computing also provides interfaces to capture, extract and aggregate measurement data for trend analysis from a medical perspective. Specifically, this research focuses on the exploration of the feasibility of high-accuracy colorimetric measurement as well as hardware-software implementation for the entire mobile platform.","abstract_html":"Traditional colorimetric measurement is widely used in chemical concentration estimation. However, compared to the laboratory solutions for accurate measurements with professional measuring equipment, colorimetric measurement is often more qualitative than quantitative. It would be most productive if we were only looking for a range of readings to draw a qualitative analysis conclusion. This means the traditional colorimetric measurement would only be an appropriate implementation for pre-medical self-diagnoses at home. Since it can only provide limited information about the tested chemical solutions, we are now featuring MoboFoto, an integrated mobile platform applying image analysis based on traditional colorimetric method to provide a more quantitative measurement, which can be used clinically. The mobile integration enables high-accuracy measurement and data visualization with a more affordable cost in a user-friendly setup environment. And the power of mobile computing also provides interfaces to capture, extract and aggregate measurement data for trend analysis from a medical perspective. Specifically, this research focuses on the exploration of the feasibility of high-accuracy colorimetric measurement as well as hardware-software implementation for the entire mobile platform.","abstract_has_math":false,"creators":["Hu, Chengpeng"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Liu, Logan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-07-07T19:58:09Z","date_published":"2016-07-07T19:58:09Z","updated_at":"2026-07-22T22:26:34Z","subjects":["Mobile","Image analysis","Colorimetric analysis","Concentration measurement"],"languages":["en"],"rights":["Copyright 2016 Chengpeng Hu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/90662","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Liu, Logan"]},{"key":"dc:creator","label":"Author","values":["Hu, Chengpeng"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-07-07T19:58:09Z","2016-04-28","2016-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Mobile","Image analysis","Colorimetric analysis","Concentration measurement"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Chengpeng Hu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/90662"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Traditional colorimetric measurement is widely used in chemical concentration estimation. However, compared to the laboratory solutions for accurate measurements with professional measuring equipment, colorimetric measurement is often more qualitative than quantitative. It would be most productive if we were only looking for a range of readings to draw a qualitative analysis conclusion. This means the traditional colorimetric measurement would only be an appropriate implementation for pre-medical self-diagnoses at home. Since it can only provide limited information about the tested chemical solutions, we are now featuring MoboFoto, an integrated mobile platform applying image analysis based on traditional colorimetric method to provide a more quantitative measurement, which can be used clinically. The mobile integration enables high-accuracy measurement and data visualization with a more affordable cost in a user-friendly setup environment. And the power of mobile computing also provides interfaces to capture, extract and aggregate measurement data for trend analysis from a medical perspective. Specifically, this research focuses on the exploration of the feasibility of high-accuracy colorimetric measurement as well as hardware-software implementation for the entire mobile platform.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-07-07 without embargo terms","The student, Chengpeng Hu, accepted the attached license on 2016-04-26 at 14:34.","The student, Chengpeng Hu, submitted this Thesis for approval on 2016-04-26 at 14:41.","This Thesis was approved for publication on 2016-04-28 at 10:47.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9516 on 2016-07-07 at 13:33:28","Made available in DSpace on 2016-07-07T19:58:09Z (GMT). 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This means the traditional colorimetric measurement would only be an appropriate implementation for pre-medical self-diagnoses at home. Since it can only provide limited information about the tested chemical solutions, we are now featuring MoboFoto, an integrated mobile platform applying image analysis based on traditional colorimetric method to provide a more quantitative measurement, which can be used clinically. The mobile integration enables high-accuracy measurement and data visualization with a more affordable cost in a user-friendly setup environment. And the power of mobile computing also provides interfaces to capture, extract and aggregate measurement data for trend analysis from a medical perspective. Specifically, this research focuses on the exploration of the feasibility of high-accuracy colorimetric measurement as well as hardware-software implementation for the entire mobile platform.","Submission original under an indefinite embargo labeled 'Open Access'. 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