CIS faculty received a Ford research grant

1/16/2019

Dr. Mohamed Abouelenien, Assistant Professor of Computer and Information Science, received a Ford/U-M Research Alliance grant for his research project entitled "Circadian State Detection and Classification System".

Dr. Mohamed Abouelenien, Assistant Professor of Computer and Information Science, received a Ford/U-M Research Alliance grant for his research project entitled "Circadian State Detection and Classification System" in amount of $220,233 from 5/1/2019 to 4/30/2021.

In recent years there has been a growing interest in developing automated systems that are capable of monitoring human physiological responses in order to provide a real-time assessment of a person's general health and well-being. However, existing methods rely heavily on contact-based physiological sensors to extract such signals. The purpose of this research is to extract physiological information contained in thermal images, such as heart rate and respiration rate, among others, which can be integrated with additional visual, linguistic, and acoustic signals to build reliable non-contact classification systems to aid in the development of monitoring applications for the detection of the occupant’s profile and state.

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