UCSC Senior Design Project
Lower Limb Prosthetic Assistve Device
IDEA Hub Pitch Competition Winner
Collaborated with outdoor focused and safety conscious engineering teams across multiple disciplines to create a wearable system that is capable of warning prosthetic users if they are to make a step that could lead to injury. I personally worked on the sensor implementation, software development and mechanical integration teams. Strain gauges integrated into a custom 3D printed shoe insert transmit data to the teensy microcontroller. The teensy microcontroller, coded in C++, logs the data and run it through our detection algorithm. The detection algorithm uses slope differentials and moving averages to both detect mis-steps and adapt to each specific user as their needs change throughout the day. We treated this project as if it were early stage product development for a startup. Worked tirelessly to deliver a great product quickly and efficiently. This was possible due to thorough test plans at small milestones to ensure quick and efficient debugging of hardware, software and mechanical aspects as well as quantitatively assess performance of these individual components.
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