Within the context of wearables and IoT, we designed and implemented smart suspenders that would monitor the back posture while sitting and lifting weight. A complete system would make use of these suspenders to notify the user when the back posture is wrong for a long time.

Using Thermal imaging, we designed wearable glasses that detect fresh fingerprints on any surface, augmenting any non-interactive surface into an interactive one.

Using various types of sensors and algorithms, we developed a nutrition intake monitoring system that depends on detecting the users' movements, visited rooms, and integrating smart objects into everyday life. The communication with the users was done through a mobile phone application

Using Electrical muscle stimulation, we implemented a prototype that could be integrated into socks to communicate posture correction notifications to racket-based sport

Using Electrical Muscle Stimulation, deep learning, and a tracking system, we implemented a hand angle correction while golf putting.

Using Electrical Muscle Stimulation, Virtual Reality, and a tracking system we manipulated weight perception in VR as the user interacted with a real-life dumbbell.

Using Electrical Muscle Stimulation, we designed a system that pulls the VR users' arms preventing them from hitting any real object in real-life.

Using Unity, Logitech G24, an eye tracker, physiological sensors, and a racing car body, we designed and implemented a driving simulation from which we recorded the drivers' behavior and physiological response when the autonomous vehicle system fails.