Opsis - Emotion AI
Sing Chen YEO, PhD, is a highly experienced individual in the field of data science and machine learning. Sing Chen currently serves as the Head of Machine Learning at Opsis - Emotion AI, where Sing Chen has played a key role in developing advanced machine learning models for emotion analysis. With a background in cognitive neuroscience research and healthcare solutions, Sing Chen has also held positions at Biofourmis and Duke-NUS Medical School, where Sing Chen focused on chronic diseases, cognitive impairment diagnosis, and sleep research. Sing Chen YEO holds a PhD in Integrated Biology and Medicine from Duke-NUS Medical School, along with Master's and Bachelor's degrees in Chemistry.
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Opsis - Emotion AI
From Video and Audio captured through a simple camera, Opsis can decipher human emotion, Heart Rate, Blood Pressure, and more, in real-time, with high accuracy. Opsis uses Multi-modal Emotion Analysis (Facial, Voice, Ocular, Body Language, Remote Photoplethysmography) and Generative AI along with its proprietary data sets and patent pending AI frameworks to achieve high accuracy for interactions that can be synchronous or asynchronous, in-person or remote. Healthcare and public safety organizations use our health-grade technology to improve access, efficiency, and quality of care globally. Opsis was spun out of the Advanced Digital Sciences Center (ADSC), a joint research institute between the University of Illinois and A*STAR. Our technology is based on years of R&D and has received several International awards and accolades. This is best-in-class A.I. already in use with multiple government agencies to promote physical and mental wellbeing, at scale.