Pain is a serious and costly issue globally, but to be treated, it must first be detected. Vision transformers are a top-performing architecture in computer vision, with little research on their use for pain detection. In this paper, we propose the first fully-attentive automated pain detection pipeline that achieves state-of-the-art performance on binary pain detection from facial expressions. The model is trained on the UNBC-McMaster dataset, after faces are 3D-registered and rotated to the canonical frontal view. In our experiments we identify important areas of the hyperparameter space and their interaction with vision and video vision transformers, obtaining 3 noteworthy models. We analyse the attention maps of one of our models, findi...
Facial expression is an important component of the pain measurement process, which can be utilized b...
Pain is an alert state of the human body that can be conveyed to the external world through differen...
Pain monitoring is essential to the quality of care for patients undergoing a medical procedure with...
Pain is a serious and costly issue globally, but to be treated, it must first be detected. Vision tr...
Accurately determining pain levels is difficult, even for trained professionals. Facial activity pro...
AbstractPain is typically assessed by patient self-report. Self-reported pain, however, is difficult...
A new method to objectively measure pain using computer vision and machine learning technologies is ...
Pain is typically assessed by patient self-report. Self-reported pain, however, is difficult to inte...
Hassan T, Seuss D, Wollenberg J, et al. Automatic Detection of Pain from Facial Expressions: A Surve...
In a clinical setting, pain is reported either through patient self-report or via an observer. Such ...
This paper presents a new approach for detecting pain in sequences of spontaneous facial expressions...
Accurately determining pain levels in children is difficult, even for trained professionals and pare...
Recognition of pain in patients who are incapable of expressing themselves allows for several possib...
Many people who are suffering from a chronic pain face pe- riods of acute pain and resulting problem...
Automatic pain detection is an important challenge in health computing. In this paper we report on o...
Facial expression is an important component of the pain measurement process, which can be utilized b...
Pain is an alert state of the human body that can be conveyed to the external world through differen...
Pain monitoring is essential to the quality of care for patients undergoing a medical procedure with...
Pain is a serious and costly issue globally, but to be treated, it must first be detected. Vision tr...
Accurately determining pain levels is difficult, even for trained professionals. Facial activity pro...
AbstractPain is typically assessed by patient self-report. Self-reported pain, however, is difficult...
A new method to objectively measure pain using computer vision and machine learning technologies is ...
Pain is typically assessed by patient self-report. Self-reported pain, however, is difficult to inte...
Hassan T, Seuss D, Wollenberg J, et al. Automatic Detection of Pain from Facial Expressions: A Surve...
In a clinical setting, pain is reported either through patient self-report or via an observer. Such ...
This paper presents a new approach for detecting pain in sequences of spontaneous facial expressions...
Accurately determining pain levels in children is difficult, even for trained professionals and pare...
Recognition of pain in patients who are incapable of expressing themselves allows for several possib...
Many people who are suffering from a chronic pain face pe- riods of acute pain and resulting problem...
Automatic pain detection is an important challenge in health computing. In this paper we report on o...
Facial expression is an important component of the pain measurement process, which can be utilized b...
Pain is an alert state of the human body that can be conveyed to the external world through differen...
Pain monitoring is essential to the quality of care for patients undergoing a medical procedure with...