@NeuroscienceNew featured my research on FacePsy and PupilSense for depressive episodes detection through smartphone front camera in the wild settings.
https://t.co/DxBl85G6Jz
“FacePsy: An Open-Source Affective Mobile Sensing System – Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings” by Sang Won Bae et al. Proceedings of the ACM on Human-Computer Interaction
https://t.co/hsNdSrrdti
@i_ikhatri@Michael_J_Black I just googled and read @Michael_J_Black post. I regret why I didn’t read it earlier. He raises a critical view of distinguishing complexity, difficulty, and technicality for novelty.
This gonna refine my reviewing process.
We are releasing PupilSense a deep learning-based pupillometry system. It uses eye images collected from smartphones for research in the behavior modeling domain. GitHub: https://t.co/5eAf2dFSGF
Check out our paper on detecting depressive episodes through pupillary response collected from a smartphone front camera in the wild.
https://t.co/pLu6ZgEfBh
📣I’ll be recruiting graduate students for Fall 2024, and am actively looking for research interns and students at different levels! Interested in Machine Learning and Sensing, Ubiquitous Computing and Interaction Technologies - let's connect!