Hospitals and parents could greatly benefit from an automated infant pain detection tool, as this could help in the early diagnosis of possibly serious medical conditions. This poster presents research on using acoustic cry data to classifying distressed infants.
Haro, Stephanie,
"Classifying pain-induced and non-pain-induced infant-cry audio recordings"
(2015).
Summer Research Symposium.
Brown Digital Repository. Brown University Library.
https://doi.org/https://DOI: 10.7301/Z0J67DWC
Each year, Brown University showcases the research of its undergraduates at the Summer Research Symposium. More than half of the student-researchers are UTRA recipients, while others receive funding from a variety of Brown-administered and national programs and fellowships and go …
