5 research outputs found
Affective Behaviour Analysis Using Pretrained Model with Facial Priori
Affective behaviour analysis has aroused researchers' attention due to its
broad applications. However, it is labor exhaustive to obtain accurate
annotations for massive face images. Thus, we propose to utilize the prior
facial information via Masked Auto-Encoder (MAE) pretrained on unlabeled face
images. Furthermore, we combine MAE pretrained Vision Transformer (ViT) and
AffectNet pretrained CNN to perform multi-task emotion recognition. We notice
that expression and action unit (AU) scores are pure and intact features for
valence-arousal (VA) regression. As a result, we utilize AffectNet pretrained
CNN to extract expression scores concatenating with expression and AU scores
from ViT to obtain the final VA features. Moreover, we also propose a
co-training framework with two parallel MAE pretrained ViT for expression
recognition tasks. In order to make the two views independent, we random mask
most patches during the training process. Then, JS divergence is performed to
make the predictions of the two views as consistent as possible. The results on
ABAW4 show that our methods are effective
Quantifying Quality of Life
Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject
Quantifying Quality of Life
Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject