Smiles are important signals in face-to-face communication that provides
impressions/feelings to observers. For example, a speaker can be motivated from audience …

Future affective computing research could be enhanced by enabling the computer to
recognise a displayer's mental state from an observer's reaction (measured by physiological …

We investigated a method to detect genuine smiles from observers' physiological states. We
recorded two physiological measures from people observing videos of smiles: pupillary …

Children with physical impairments may have trouble effectively performing the hand
movements used in haptic exploration and may miss information about object properties …

伪装情绪是指在情绪交互的过程中, 人们展现实际不存在的积极或消极情绪,
放大亦或是压抑原本的情绪. 伪装情绪是一种策略选择的结果, 表现者所展现的情绪在当下可能 …

This study addresses the question whether untrained and unaided observers can
discriminate between real and posed smiles from different sets of smiling videos. Observers …

This paper investigates observers' pupillary responses while they viewed two graphical
visualizations (circular and organizational). The graphical visualizations are snapshots of …

Smile recognition plays a vital role in human-human and human-computer interactions. This
paper demonstrates a system to recognize the genuine and posed smiles by sensing …

To find the genuineness of a human behavior/emotion is an important research topic in
affective and human centered computing. This paper uses a feature level fusion technique of …

Training neural network and other classifiers on physiological signals has challenges
beyond more traditional datasets, as the training data includes data points which are not …