Glove System

The research explored whether an accessible wearable prototype could detect hand movement, collect basic physiological readings, recognize simple gestures, and transmit the information to a website with little delay.

The useful product was not only the glove or dashboard in isolation. It was the complete pipeline joining physical movement to a readable interface.

Sensors feed flexion and health-related readings into an Arduino Uno. An HC-05 Bluetooth module sends formatted output to a laptop, where a local Node.js bridge parses the stream into JSON and forwards updates through WebSockets to the Next.js dashboard.

I programmed Arduino logic, supported wiring and sensor testing, configured the Bluetooth workflow, built the Node.js bridge, implemented WebSocket updates, designed the live healthcare dashboard, and deployed the web interface.

This required debugging across physical wiring, serial output, unstable Bluetooth behavior, data formatting, and frontend state rather than treating hardware and software as separate systems.

During controlled research trials, the group reported near-real-time transmission averaging around 0.206 seconds, successful transmission during the tested trials, and responsive flex-sensor readings. These results describe an academic prototype, not a clinically validated product.

The project demonstrates that I can work across hardware, communication protocols, server-side data transformation, real-time interfaces, and deployment while contributing responsibly to a multidisciplinary team.