Fusion of EEG feature extraction and CNN-MSTA transformer emotion recognition classification model. [PDF]
Chu W, Wen H, Liu H, Zhang X, Guo J.
europepmc +1 more source
Abstract The provision of residential and community‐based services for individuals with serious mental illness (SMI) has become increasingly important following the deinstitutionalization movement. Much of the existing research on supportive housing focuses on housing outcomes rather than exploring how the program helps its residents thrive in the ...
Kenna E. Dickard, Greg Townley
wiley +1 more source
An enculturation-induced joy bias for emotion recognition in full-body-movement. [PDF]
Christensen JF +7 more
europepmc +1 more source
Subject-independent multi-channel voting for EEG-based emotion recognition using wavelet scattering deep network and advanced signal metrics [PDF]
Ahmed Elrefaiy +3 more
openalex +1 more source
Abstract This study analyzes a participatory project to develop peer support services for people with serious mental illnesses (SMIs) in China. Drawing on interviews with psychiatrists, social workers, service users, and a family caregiver, it examines the conditions, challenges, facilitators, and outcomes of participation in a paternalistic context ...
Zhiying Ma +6 more
wiley +1 more source
Exploring physical and functional EEG connectivity with multilayer graph transformer convolutional networks for emotion recognition. [PDF]
Rahman SMA +4 more
europepmc +1 more source
Abstract Although peer support is central to the social model approach emphasized in sober living houses (SLHs), no longitudinal studies have examined helping among SLH residents. This longitudinal study examined benefits of helping in three contexts among SLH residents. Data were from 205 participants entering 28 SLHs across 2021–2023. Interviews were
Sarah E. Zemore +4 more
wiley +1 more source
LyricEmotionNet for robust emotion recognition with hybrid CapsNet-memory network architecture. [PDF]
Zheng G, Huang J.
europepmc +1 more source
Neighborhood social environments and mental health among youth and adults in public housing
Abstract Neighborhoods influence health in part through social processes. However, little is known about how multiple neighborhood social processes co‐occur, or about within (vs. between) neighborhood variation in social processes and health. This study asked how residents of a large public housing development describe their neighborhood and used ...
Jane Leer +3 more
wiley +1 more source
RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition. [PDF]
Han Y +5 more
europepmc +1 more source

