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DC Field | Value | Language |
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dc.contributor.advisor | Verma, Naveen | - |
dc.contributor.author | Jared, James | - |
dc.date.accessioned | 2019-08-16T18:56:00Z | - |
dc.date.available | 2019-08-16T18:56:00Z | - |
dc.date.created | 2019-04-22 | - |
dc.date.issued | 2019-08-16 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp016969z362n | - |
dc.description.abstract | The study and analysis of human balance is crucial given its various effects on health and safety. Understanding the causes of falls in elderly adults, ankle sprains in volleyball players, chronic low back pain, the anatomical structures that support dancers, as well as the dynamics of neuromuscular diseases such as Parkinson's and multiple sclerosis all relies on the mechanics of human balance. While there is a myriad of metrics used to quantify balance, including both direct and indirect, anatomical and functional, static and dynamic measures, each has its strengths and weaknesses. Developing a system for comprehensive balance analysis, improvement, and rehabilitation is paramount in bettering the lives of individuals across a wide range of experiences. The primary objective of this project is to develop an integrated balance analysis and training system in order to merge these two important avenues for maximal benefit. The system under development is a balance board that dynamically gathers pressure mapping data and transmits this data to a computer for both real-time and offline processing. Pressure data is collected by a micro-controller using an array of force sensing resistors, then sent via Bluetooth to a host application. Multiple software applications can be developed to utilize the data gathered by this system, such as visualization systems, static and dynamic analysis systems, and even user feedback systems that can interpret data qualitatively for training and rehabilitation. | en_US |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | en_US |
dc.title | Balance Analysis Using Large Area Electronics | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2019 | en_US |
pu.department | Electrical Engineering | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 961167698 | - |
Appears in Collections: | Electrical Engineering, 1932-2020 |
Files in This Item:
File | Description | Size | Format | |
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JARED-JAMES-THESIS.pdf | 1.69 MB | Adobe PDF | Request a copy |
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