University of Illinois at Urbana-Champaign
Mobofoto: a mobile platform for concentration measurement through colorimetric analysis
Abstract
dc:descriptionTraditional 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.
Degree
thesis:*- Name thesis:degree_name
- M.S.
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Electrical & Computer Engr
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hu, Chengpeng
- Contributors dc:contributor
-
- Liu, Logan
Subjects
dc:subject × 4Rights
dc:rights- Statement dc:rights
-
- Copyright 2016 Chengpeng Hu
- Language dc:language
- en
Identifiers
dc:identifier.*- Handle dc:identifier
- http://hdl.handle.net/2142/90662
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/90662