This paper presents a real-time or online system for continuous recognition of human actions. The system recognizes actions such as walking, bending, jumping, waving, and falling and relies on spatial features computed to characterize human posture. The paper evaluates the utility of these features based on its joint or independent treatment within the context of the Hidden Markov Model (HMM) f...

Cognitive biases, such as Thought Action Fusion, play a crucial role in the cognitive-behavioral model of anxiety disorders and have been shown to prospectively increase the risk of developing future psychopathology. However, little research has examined the developmental factors that contribute to this theoretically important construct. Therefore, the current study examined how childhood traum...

The present study examined thought-action fusion (TAF) in a large sample of normal adolescents (n=427). Participants completed the Thought-Action Fusion Questionnaire for Adolescents (TAFQ-A) and scales measuring trait anxiety, symptoms of obsessive-compulsive disorder, other anxiety disorders, and depression. Results showed that the TAFQ-A is a reliable instrument assessing two dimensions of T...

To examine the significance of thought-action fusion (TAF) and thought suppression tendencies, the present study obtained pre- and post-treatment questionnaire data on these constructs in a sample of OCD patients (n=24) and non-OCD anxiety patients (n=20). Results indicate that TAF and suppression are correlated with severity of psychopathology. Yet, the associations between TAF and psychopatho...

Recognizing facial actions is challenging, especially when they are accompanied with speech. Instead of employing information solely from the visual channel, this work aims to exploit information from both visual and audio channels in recognizing speech-related facial action units (AUs). In this work, two feature-level fusion methods are proposed. The first method is based on a kind of human-cr...

The recognition of human actions based on three-dimensional depth data has become a very active research field in computer vision. In this paper, we study the fusion at the feature and decision levels for depth data captured by a Kinect camera to improve action recognition. More precisely, from each depth video sequence, we compute Depth Motion Maps (DMM) from three projection views: front, sid...

K. Keahey T. Fredian Q. Peng D. P. Schissel M. Thompson I. Foster 5 M. Greenwald D. McCune 1 Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439 2Plasma Science and Fusion Center, MIT, Cambridge, MA 02139 3General Atomics, P.O. Box 85608, San Diego, California, 92186-5608 4Lawrence Berkeley National Laboratory, Berkeley, CA 94720 5 Department of Computer Sc...

K. Keahey T. Fredian Q. Peng D. P. Schissel M. Thompson I. Foster 5 M. Greenwald D. McCune 1 Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439 2Plasma Science and Fusion Center, MIT, Cambridge, MA 02139 3General Atomics, P.O. Box 85608, San Diego, California, 92186-5608 4Lawrence Berkeley National Laboratory, Berkeley, CA 94720 5 Department of Computer Sc...

Mitofusin-2 (Mfn2) is an essential component of mitochondrial fusion machinery, but its molecular mechanism of action is not clear. We found that a Mfn2 deletion mutant lacking two transmembrane spans (Mfn(DeltaTM)) acts as a dominant-negative mutant and blocks mitochondrial fusion. Furthermore, detailed analysis of various mutants of Mfn(DeltaTM) revealed that GTPase activity and four regions ...

Sensor fusion has an important role in the navigation of autonomous mobile robots. Our research has generated a generic and robust process model based on the action-oriented perception paradigm. The autonomous execution and exception handling abilities of this model have been implemented as the Sensor Fusion Effects (SFX) architecture. The key aspects of this implementation are the sensing plan...