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Despite their high stability and compactness, affine moment invariants have received a relatively little attention in action recognition literature. In this paper, we introduce an approach for activity recognition, based on affine moment invariants. In the proposed approach, a compact computationally-efficient shape descriptor is developed by using affine moment invariants. Affine moment invariants...
This study aimed to elucidate the mechanisms underlying the divergent action potential (AP) morphology observed in human atrial cells vs. tissue, with simulations employing computational models. Two modifications were introduced to the cell model, based on conditions inherent to in vitro AP measurements. First, we accounted for the loss of hERG ion channels, which mediate the rapid delayed rectifier...
Significant structural and functional development of the heart occurs during the ontogenesis. Age-related features of the left ventricular (LV) functional geometry (FG), i.e. changes in the LV shape during the cardiac contractile cycle, are insufficiently studied. We assessed the differences in quantitative characteristics of LVFG between healthy adults and newborn infants of the first five days of...
Human induced pluripotent stem cells (hiPSCs) represent nowadays a valuable in-vitro model to study the mechanisms underlying pathologies and focusing on drug treatment in a patient-specific manner. In-silico models can integrate the experimental practice being used as simulation platforms, providing new hints and helping defining new experiments and hypothesis. We developed a new model of ventricular-like...
Automatic identification of the Frankfurt plane (FP) and mid-sagittal plane (MSP) of a human skull is a very important task. These planes are used to define important landmarks on the skull for surgery planning and guidance, forensic reconstruction, and anthropological and archaeological studies. At present, there is no known method for automatic identification of FP. Existing methods identify FP...
The problem of reaching an agreement in a multiagent system has been widely investigated. Opinion Dynamics is a similar problem where agents are assumed to interact in order to reach an agreement on their opinion. The key aspect of this formulation is that the time-varying network topology describing the interaction among agents is defined according the closeness of their opinion. This model aims...
The objective of this paper is to study the performance of human reidentification based on multi-shot SURF and to assess its degradation according to the angular difference between the test and reference video scene view angles. In this context, we propose a new automatic statistical method of acceptance and rejection of SURF correspondence based on the likelihood ratio of two GMMs learned on the...
Social robots have to potential to serve as personal, organizational, and public assistants as, for instance, diet coaches, teacher's aides, and emergency respondents. The success of these robots — whether in motivating users to adhere to a diet regimen or in encouraging them to follow evacuation procedures in the case of a fire — will rely largely on their ability to persuade people. Research in...
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines of objects, in order to keep the interface as simple as possible and to respect browser constraints. However, as most browsers now contain functionality to quickly process images and render shapes to the browser through JavaScript,...
Saliency detection is an important topic for the researches on visual attention selective computation model. This paper aims at the conflict between the local saliency detection and the huge computational cost, and proposes an object-based multi-feature competitive model for visual saliency detection. The proposed model is based on the biologically motivated color-antagonistic model and is advanced...
This paper proposes a method of motion recognition in real night environment employing an infrared radiation camera. We record a video employing an infrared radiation camera to perform motion recognition at night. We use Directional Motion History Images (DMHIs) and Directional Motion Energy Images (DMEIs) for human motion representation. For the recognition of the motions, we employ the eigenspace...
The video presents the first results of a Swiss-funded project focusing on symbiotic peer-to-peer interaction and cooperation between humans and robot swarms. As a first step, we considered human-swarm interaction, and selected the use of hand gestures to let a human communicate with a swarm of relatively simple mobile robots. In our scenario, a hand gesture encodes a command, that the swarm will...
Facial gesture recognition is one of the main topics in HRI. We have developed a novel algorithm who allows to detect emotional states, like happiness, sadness or emotionless. A humanoid robot is able to detect these states with a ratio of success of 83% and interact in consequence. We use Active Appearance Models (AAMs) to determinate face features and classify the emotions using neural evolution,...
The paper proposes a new mobility model able to properly reproduce the spatial, temporal and social features that can be observed in real mobility datasets. The model, named Geo-CoMM, is based on the quantities that guide human mobility and their probability distributions by directly extracting their setting from the statistical analysis of GPS-based traces. In Geo-CoMM, people move within a set of...
In order to provide anthropomorphic robotic hands with adequate frictional contact and proper tactile sensing during dexterous manipulation it is necessary to develop artificial skin that is easy-to-implement and compatible with existing designs of robotic hands. In this paper, we detail the design of a set of artificial skin pads that can accommodate a complex surface topology for a variety of robotic...
Many genetic disorders or abnormalities that may occur in the future generations can be predicted through analyzing the shape and morphological characteristics of the human chromosomes. This is usually carried out by an expert, inspecting the Karyotype of the patients. A Karyotype is a particular table that presents the chromosome images in a standard format. To generate a Karyotype, it is necessary...
Past research has shown that a balanced brain induces healthier living. Balanced brainwaves helps to enhance critical learning (left brain) and creativity (right brain) therefore, it is assumed that productivity is maximized by those who use both sides of their brains. This paper presents the outcome of a preliminary research that explores the potential of using music to enhance learning by inducing...
The authors have conducted experiments to measure personal space between a human and a humanoid robot using both a real and a VR (virtual reality) humanoid robot in order to evaluate the comfortable distance between them. The reason for using both a real and VR robot is to verify the effectiveness of VR. Using a VR robot, we can conduct experiments cheaply and safely because the robot has an unsubstantial...
In this article, we discuss how to recognize each group of humans and objects that interact with each other, for some activity such as a conversation by some people looking at the same screen, from observation by cameras. Although the previous work on recognizing human behaviors by cameras mainly discusses those of a single person, such as moving from one place to another, we rather focus on the interactions...
This work aims to develop a system for predicting age progression in children faces. Age progression prediction in children faces is critical to assist missing children searching. An integral module including feature extraction, distance measurement, and face synthesis is devised in this paper to predict faces at different ages. In the proposed method, a curvature-weighted plus bending-energy distance...
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