k-emophone: a mobile and wearable dataset with in-situ emotion, stress, and attention labels

Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence, Medicine, Psychiatry, Clinical Psychology,
emotion   stress   attention   mobile data   wearable sensors   affective states   multimodal dataset  

Scientific Data Report | K-emophone: A Mobile and Wearable Dataset with On-site Emotion, Stress, and Attention Labels Background With the proliferation of low-cost mobile and wearable sensors, numerous studies have leveraged these devices to track and analyze human mental health, productivity, and behavioral patterns. However, despite the developme...

Neural Representations of Perspectival Shapes and Attentional Effects: Evidence from fMRI and MEG

Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
perspectival shape   attention   shape processing   lateral occipital cortex  

Neural Representation of Perspective Shapes and the Effect of Attention: Evidence from fMRI and MEG Introduction We always perceive objects from a specific perspective. In many cases, the shape we rely on when observing an object, the perspective shape, differs from its objective shape, the physical shape in the real world. For instance, a coin rot...

FP-AGE: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

FP-AGE: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

Information Science, Artificial Intelligence,
age estimation   face parsing   in-the-wild dataset   attention   cross-dataset evaluation  

FP-Age: Face Parsing Attention Mechanism for Facial Age Estimation in the Wild Research Background Age estimation on facial images is a significant computer vision task with extensive applications in forensics, security, health welfare, and social media. However, due to diverse factors such as head pose, facial expressions, and occlusions, the perf...