Online recommendation engine for mental health technologies
Mapping psychiatric symptoms and behaviors to sensors for monitoring mental health
Project summary: The Child Mind Institute needs to evaluate what types of devices can be used to obtain objective measures for assessing and monitoring childhood psychiatric illnesses over time. The student(s) would help evaluate which sensor technologies (microphone, camera, accelerometer, skin conductance electrodes, etc.) in what currently available devices are best positioned to assess and monitor physiological and behavioral symptoms in specific childhood psychiatric illnesses. The student(s) would need to have a strong interest in learning about child psychiatric illnesses and strong organizational skills for helping to develop a database of information that maps sensors to behavioral and physiological symptoms.
Analyze voice data -- extract features, perform predictive modeling
Project summary: The Child Mind Institute has been collecting voice data from children with selective mutism, and will be collecting a lot more voice data from children with different psychiatric illnesses. The student(s) would use existing software and write new software where necessary to analyze voice data to extract features and find patterns in the features to better understand how speech is affected by psychiatric illnesses and how context affects their speech. For this project, the student(s) would need to have an interest in analyzing voice and other mobile health data and very strong computational and programming skills (Python preferred).