A research team led by Professor Uichin Lee from the School of Computing has demonstrated the possibility of accurately tracking an individual's mental health status using in-home Internet of Things ...

The "IoT Connectivity Disruptors: Case Studies and Analysis (Volume IV)" report has been added to ResearchAndMarkets.com’s offering. This report analyses and compares the IoT connectivity offerings of ...

A KAIST research team confirmed that it is possible to detect a person’s levels of depression, anxiety, and stress using only Internet of Things (IoT) sensors within the home. The study was conducted ...

Wearables & Home Devices: Continuous patient monitoring via wearable sensors, fitness trackers, and implantable devices. AI-driven Analytics: Leveraging predictive algorithms for early diagnosis, ...