Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces

In 1997 Rosalind Picard introduced fundamental concepts of affect recognition. Since this time, multimodal interfaces such as Brain-computer interfaces (BCIs), RGB and depth cameras, physiological wearables, multimodal facial data and physiological data have been used to study human emotion. Much of the work in this field focuses on a single modality to recognize emotion. However, there is a wealth of information that is available for recognizing emotions when incorporating multimodal data. Considering this, the aim of this workshop is to look at current and future research activities and trends for ubiquitous emotion recognition through the fusion of data from various multimodal, mobile devices

Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis

Emotion is expressed in multiple modalities, yet most research has considered at most one or two. This stems in part from the lack of large, diverse, well-annotated, multimodal databases with which to develop and test algorithms. We present a well-annotated, multimodal, multidimensional spontaneous emotion corpus of 140 participants. Emotion inductions were highly varied. Data were acquired from a variety of sensors of the face that included high-resolution 3D dynamic imaging, high-resolution 2D video, and thermal (infrared) sensing, and contact physiological sensors that included electrical conductivity of the skin, respiration, blood pressure, and heart rate. Facial expression was annotated for both the occurrence and intensity of facial action units from 2D video by experts in the Facial Action Coding System (FACS). The corpus further includes derived features from 3D, 2D, and IR (infrared) sensors and baseline results for facial expression and action unit detection. The entire corpus will be made available to the research community

Comparing the effectiveness of a short-term vertical jump vs. weightlifting program on athletic power development

Efficient training of neuromuscular power and the translation of this power to sport-specific tasks is a key objective in the preparation of athletes involved in team-based sports. The purpose of the current study was to compare changes in center of mass (COM) neuromuscular power and performance of sport-specific tasks following short-term (6-week) training adopting either Olympic Style Weightlifting (WL) exercises or vertical jump (VJ) exercises. Twenty six recreationally active males (18-30 years; height: 178.7±8.3 cm; mass: 78.6±12.2 kg) were randomly allocated to either a WL or VJ training group and performance during the countermovement jump (CMJ), squat jump (SJ), depth jump (DJ), 20m sprint and the 5-0-5 agility test assessed pre- and post-training. Despite the WL group demonstrating larger increases in peak power output during the CMJ (WL group: 10% increase, d=0.701; VJ group: 5.78% increase, d=0.328) and SJ (WL group: 12.73% increase, d=0.854; VJ group: 7.27% increase, d=0.382), no significant between-group differences were observed in any outcome measure studied. There was a significant main effect of time observed for the three vertical jumps (CMJ, SJ, DJ), 0-5m and 0-20m sprint times, and the 5-0-5 agility test time, which were all shown to improve following the training (all main effects of time p<0.01). Irrespective of the training approach adopted by coaches or athletes, addition of either WL or VJ training for development of power can improve performance in tasks associated with team-based sports, even in athletes with limited pre-season training periods