Progress on Pressure Sensing Insole

Over the past several months, my research has evolved from an initial concept into a structured and purposeful investigation. I began by identifying a practical problem in human movement, focusing on gait imbalance and its implications for long term health. Through iterative design, I developed a wearable insole system capable of collecting pressure data in real time.

Key areas of progress include:

• Development of a pressure sensing insole using force sensitive resistors

• Implementation of real time data logging and visualization workflows

• Calibration techniques to reduce sensor drift and baseline noise

Early prototypes revealed significant challenges in sensor calibration and data consistency, which required careful troubleshooting and refinement. By implementing baseline correction and improving data logging methods, I was able to obtain more reliable measurements. This allowed me to shift my attention from hardware limitations to meaningful data analysis.

Current analytical focus includes:

• Measuring gait symmetry through left right pressure comparisons

• Extracting metrics such as stance time and step consistency

• Evaluating how users respond to haptic feedback cues

In parallel, I designed a haptic feedback system intended to guide users toward more balanced movement. Preliminary tests suggest that real time feedback can influence gait behavior, though further validation is needed. Moving forward, I plan to expand testing, refine the feedback algorithms, and evaluate whether improvements persist over time without external cues.