Title
Mental State, Mood, and Emotion
Abstract
The aim of this special issue is to discuss novel approaches, opportunities, and challenges for developing effective, ethical, and trustworthy pervasive computing technology for mental health and emotion. The accepted articles address a variety of topics, ranging from voice-based depression detection, wrist-worn sensor-based bipolar manic-euthymic state recognition, free-living audio-based conversation network estimation for mental health applications, comparison of wellbeing self-report via conversational agent and web app, meeting success prediction using nuanced emotions, and personalized sleep stage and sleep quality recognition using wearable sensors.
Year
DOI
Venue
2022
10.1109/MPRV.2022.3173828
IEEE Pervasive Computing
DocType
Volume
Issue
Journal
21
2
ISSN
Citations 
PageRank 
1536-1268
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Gavin Doherty136142.18
Mirco Musolesi23365204.65
Akane Sano3848.96
Thomas Vaessen400.68