EE Student Team Led by Professor Fred Jiang Receive Best Demo Award at ACM/IEEE IPSN 2020

The SPIDERS project from Columbia Intelligent and Connected Systems Lab was awarded the Best Demo Award at the 19th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN ’20). The platform was demonstrated to hundreds of participants worldwide virtually.

SPIDERS is a low-cost glasses-based wearable platform that enables human facial expression and emotion monitoring. This platform can benefit a wide area of applications, including continuous health monitoring, elderly care, depression treatment, entertainment, and more. SPIDERS combines novel embedded hardware with low-power signal processing and machine learning algorithms to achieve high accuracy using only non-contact sensors, costs less than $20 to assemble, and can continuously run for up to 9 hours before recharging.

The team includes EE Ph.D. students Jingping Nie, Stephen Xia, M.S. student Yigong Hu, undergraduate student Yuanyuting Wang, and Professor Xiaofan (Fred) Jiang. Jingping Nie presented the corresponding full paper “SPIDERS: Low-Cost Wireless Glasses for Continuous In-Situ Bio-Signal Acquisition and Emotion Recognition” at the 5th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI ’20).

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