The final demonstration was overall a success. Thank you to our mentors, Dr. Sikdar & Dr. Harris – Love for their guidance. Thank you Dr. Ross for instructing us throughout the entirety of the Senior Design coursework.

After completion of all testing, the optimal parameters for stimulation for three subjects were determined, and outlined in the following table. Subjects 1 and 2 had optimal amplitudes at 25 mA, while subject 3 had their optimal amplitude at 20 mA. It shows that each subject’s body type is different and how they respond to […]

With a change in design comes a change in methods. The following flowchart illustrates the new methodology. Figure showing new design methods.

Initially, the methodology to calculate the desired joint angle is as follows: simply integrate the accelerometer data twice, and integrate the gyroscopic data once (as gyroscope yields angular rate). However, upon doing this, we realized that the data/plots were inaccurate. This is because when integrating, the noise is also added (oops). Numerous filters were designed […]

Of course, any sensor used needs a processor; a microprocessor is preferred, to keep the design lightweight and portable. The microprocessing element for this project shall be Arduino, a popular open source electronics platform. The Arduino board used for this project is the Arduino Mega 2560. It is on the higher end of all the […]

In order to determine our position, our joint angle, we will need a sensor to do so. Accelerometers have been implemented for this purpose in previous studies. However, the disadvantage to accelerometers is that they are very prone to noise. The gyroscope is another sensor capable of measuring our desired rotation orientation, however there is […]