4 citations · 8 across the 5 of their papers we have counts for
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cs.HC2019
TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy
Ran Xu, Manu Mathew Thomas, Alex Leow +2
We introduce TempoCave, a novel visualization application for analyzing dynamic brain networks, or connectomes. TempoCave provides a range of functionality to explore metrics relat…
cs.HC2018
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction
He Huang, Bokai Cao, Philip S. Yu +2
Mood disorders are common and associated with significant morbidity and mortality. Early diagnosis has the potential to greatly alleviate the burden of mental illness and the ever…
cs.HC2018
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection
Bokai Cao, Lei Zheng, Chenwei Zhang +6
The increasing use of electronic forms of communication presents new opportunities in the study of mental health, including the ability to investigate the manifestations of psychia…