SMU students tap Internet-of-Things to track symptoms of depression in the elderly

Through the use of Internet of Things, SMU School of Information Systems (SMU SIS) final year student Liang Wei Kang and his team mates have designed a home-based sensor system which allows observers to track symptoms of depression in elderly people who are living alone. He hopes that this system can serve as evidence to alert medical practitioners about the risk of depression among elderly patients, and enable them to receive treatment before their condition worsens, thereby minimising medical expenses. This sensor system is developed as part of an Internet of Things (IoT) course SMU SIS introduced in August last year, with the objective of providing students hands-on experiences in conceiving practical systems to solve everyday real-world problems. SMU Associate Professor of Information Systems (Practice) Tan Hwee Pink noted that the IoT course is only open to final year SMU SIS students, adding that the intake of 45 students is always full every semester.