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ASU Rise Lab’s Self Balancing Bicycle

The ASU RISE Lab’s autonomous bicycle project investigates the implementation of a self-driving bicycle for increased mobility and human-robot interaction research. This semester the research focus was on balance. Two strategies are being used in tandem to balance the bicycle; control of the steering column and a control moment gyroscope (CMG). Initial drive tests indicated

Sensor Efficacy in Measuring Bone Depth for Neurosurgical Applications

This project examines the efficacy of lumbar vertebral bone depth sensors for relevant surgical uses. This project attempts to categorize this by comparing multiple sensor types (ultrasound, resistance, and force) on different models including a 3D-printed spine and an anatomically-similar porcine cadaver. The project goal is to provide a blueprint to integrate sensors into surgical

Measuring Failure Load of Lumbar Spinous Processes to Transverse Mechanical Forces

This study will examine the yield strength of the lumbar spinous processes to mechanical forces applied in a transverse direction. Such forces will be generated clinically by neurosurgeons using a novel surgical device interacting with the processes. Understanding the forces tolerated by spinous processes is important to avoid device failure caused by process fracturing. The

Impact of Time Constraints on HackerRank Assessments

The purpose of this study is to determine whether time constraints impact the performance of individuals on HackerRank coding assessments. Subjects will wear two physiological sensors: a shimmer and ABM headset that will measure cognitive workload, engagement, and distraction. They will also be monitored by external eye trackers and by facial recognition webcams to measure