This research develops soft, tissue-like implantable sensors capable of monitoring molecular signals inside the body in real time. By combining high-performance electronics with flexible, biocompatible materials, these devices could detect inflammation, stress, or organ damage before symptoms arise, enabling earlier diagnosis and more personalized healthcare.

This research introduces iCares, a smart wound-monitoring bandage designed to detect infection and inflammation before visible symptoms appear. Using biosensors, fluid sampling, and machine learning, the system provides real-time wound analysis, enabling earlier intervention, personalized treatment, reduced complications, and improved healing outcomes for patients with chronic wounds.

This research explores exergames that combine gaming and exercise to improve fitness. By integrating adaptive difficulty, full-body motion, and narrative storytelling, it aims to create experiences that are both engaging and physically effective. The goal is to motivate sustained exercise by making workouts enjoyable and personalized through game design.

This research introduces “Countmarks,” an ergonomic interaction method for smart glasses using multi-finger gestures on a smartphone. It offers a faster, more accurate, and private alternative to controllers, voice commands, and mid-air gestures. The system improves usability, accessibility, and safety, particularly in real-world contexts like walking or driving.

This research explores how wearable technology can improve video game accessibility for players with upper limb disabilities. Through interviews, it develops design guidelines emphasizing flexibility, independence, and modularity. The project aims to build and test prototypes, advancing inclusive gaming design and ensuring disabled players are better represented in interactive technology development.

This research uses wearable data and AI to detect disease earlier by analyzing continuous health signals rather than isolated clinical snapshots. By personalizing models to individual baselines, the system identifies subtle changes linked to conditions like infections, heart issues, and mental health crises, enabling earlier intervention and potentially saving lives.