Resource type
Date created
2015-04-21
Authors/Contributors
Author (aut): Yang, Dong
Abstract
In the previous work done by ZG.Xiao and C.Menon, the novel idea of using a strap with 8 Force Sensing Resistor (FSR) sensors for monitoring activities of upper-extremities was proposed. The goal of my research is to implement such a system for a low-cost, low power embedded system, a band module, together with a hand-held user interface for rehabilitation related application. For hand gesture classification, the Linear Discriminate Analysis (LDA) method is used. The training and predicting can be done on either a band module or a hand-held user interface. Two system configurations are proposed: real-time band module data sampling and hand-held user interface data analysis, or real-time band module data sampling and analysis. On top of this, the LDA algorithm in C language used in our system has been profiled on an Intel Galileo Gen2 board in order to evaluate its performance on 32-bit embedded platforms for the next generation of our system.
Document
Identifier
etd8942
Copyright statement
Copyright is held by the author.
Scholarly level
Member of collection
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etd8942_DYang.pdf | 1.63 MB |