In this paper, we present a multimodal emotion recognition framework called EmotionMeter that combines brain waves and eye movements. To increase the feasibility and wearability of EmotionMeter in real-world applications, we design a six-electrode pl...
Recent technological advances in machine learning offer the possibility of decoding complex datasets and discern latent patterns. In this study, we adopt Liquid State Machines (LSM) to recognize the emotional state of an individual based on EEG data....
In this paper, we propose a novel deep learning framework, called spatial-temporal recurrent neural network (STRNN), to integrate the feature learning from both spatial and temporal information of signal sources into a unified spatial-temporal depend...
The uncanny valley posits that very human-like robots are unsettling, a phenomenon amply demonstrated in adults but unexplored in children. Two hundred forty 3- to 18-year-olds viewed one of two robots (machine-like or very human-like) and rated thei...
Zeitschrift fur Gerontologie und Geriatrie
Dec 7, 2017
BACKGROUND: It has been questioned by researchers in robotics as well in the general public to what extent companion-type robots can support the elderly with the fulfillment of their psychological and social needs. Although these robots have already ...
Computer methods and programs in biomedicine
Nov 13, 2017
BACKGROUND AND OBJECTIVE: Happiness is a universal fundamental human goal. Since the emergence of Positive Psychology, a major focus in psychological research has been to study the role of certain factors in the prediction of happiness. The conventio...
Journal of alternative and complementary medicine (New York, N.Y.)
Nov 8, 2017
OBJECTIVES: Prompted by the need to find effective ways to enhance compliance in children with autism spectrum disorder (ASD), and building on the increasing interest in dog-assisted interventions for this population, this study provides an explorato...
Computational intelligence and neuroscience
Oct 25, 2017
Emotion regulation is a process by which human beings control emotional behaviors. From neuroscientific evidence, this mechanism is the product of conscious or unconscious processes. In particular, the mechanism generated by a conscious process needs...
BACKGROUND: In-vivo observations of neural processes during human aggressive behavior are difficult to obtain, limiting the number of studies in this area. To address this gap, the present study implemented a social reactive aggression paradigm in 29...
Emotions play a significant role in internal regulatory processes. In this paper, we advocate four key ideas. First, novelty detection can be grounded in the sensorimotor experience and allow higher order appraisal. Second, cognitive processes, such ...
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