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In many application cases, 2D human postures display haven't been able to meet people's requirements which is failure to show human motions comprehensive, image and vivid. However, 3D human Postures display could restore and show human motions well, which is convenient for people to observe and learn human motions. This paper presents a method to recognize 3D human postures by using Microsoft Kinect...
Human gait is the main activity of daily life. Gait can be used for applications like human identification (in medical field etc). Since gait can be perceived from a distance it can be used for human identification. Gait recognition means identifying the person with his/her gait. Human identification using gait can be used in surveillance. A method is proposed for gait recognition using a technique...
Sentence fragment has a wide range of applications, such as short text mining, flow diagram search based on label similarity and so on. Existing methods aren't entirely appropriate for measuring similarity between sentence fragments since they were originally designed for complete sentences or long texts. So we pay more attention to proper nouns which carry important information in sentence fragments...
Dexterous robotic hands are still not used in production lines, mainly because of the complexity to operate such hands. Most often a robotic hand is used to grasp and hold the object of interest while the object motion is performed by the arm. From studies on human grasping it is known that most of the grasping task can be reduced to two independent degree of freedom which drive the joints of the...
Active learning is a useful tool for in-situ learning and adaptive classification systems. While traditional active learning is focused mostly on the single-sample mode, the batch mode of active learning is more interactions efficient. This paper proposes a computationally efficient approach for maximizing the joint entropy of a batch of samples and thereby attaining the maximal information gain and...
Eye contact provides a communicative link between humans, prompting joint attention. As spontaneous brain activity might have an important role in the coordination of neuronal processing within the brain, their inter-subject synchronization might occur during eye contact. To test this, we conducted simultaneous functional MRI in pairs of adults. Eye contact was maintained at baseline while the subjects...
Websites serve as the presenting carriers for excellent courses construction. With the deepening of excellent courses construction and research, we have relinquished the pure evaluating display platform, and constructed comprehensive courses websites combined with teaching applications, management and display. The practice has become a tendency for the construction of excellent courses websites. In...
This paper presents an approach of human gait modeling and prediction using fuzzy inference system. In this system, lower limbs motion prediction is simplified by introducing fuzzy knowledge base to describe the whole motion. Our fuzzy knowledge base predicts contralateral lower limb joints angles. The concept of fuzzy knowledge is based on fuzzy membership function that represents knee angle and...
This paper is concerned with the problem of teleoperation systems over networks. As is well known, quantization and time delay are unavoidable in computer network communications. Compared with previous work, we consider both of them when analyzing such systems. The controller used in this paper is proportional-derivative(PD) controller, but the output signals of master and slave systems are quantized...
In this paper, an exoskeleton robotic device worn by human operator is developed mainly for support and rehabilitation, as well as improvement of human capabilities. In order to enhance the device ability to finely interact with a human limb, it is necessary to develop a control interface for exoskeletons, which would guarantee comfort and safety, as well as efficiency and robustness. The developed...
Robot imitation is a useful tool in humanoid robot research, it provides a natural way of teaching a complex humanoid robot to accomplish human-like behaviors. However, it is never an easy task to build such a system robustly due to the high degree of freedom (DOF) in human motion and difficulty in humanoid control. In this paper, we present a system built up by the Microsoft Kinect box and the Aldebaran...
This paper presents a new method on generating realistic human animation of various styles with given step constraints and a specific skeleton. Given a set of normal walking data captured from different subjects, a hierarchical geostatistical model is automatically learned to encode variety of walking styles by representing human body as a hierarchy of joint groups. For each child hierarchy level,...
Reaching to an object is a fundamental skill to a robot. The purpose of robot reaching aims at bringing the robot hands to the object location without obstacle collision. Since implementing such robot reaching movement is a tedious task, this paper proposes a method to synthesize robot reaching movement by human demonstration. However, human demonstrations are inconsistent, this paper adopts Gaussian...
This paper aims at stimulating the discussion on the future of Intelligent Vehicles. It is a position paper, indicating converging technologies that, in our opinion, will have to be used in future Intelligent Vehicles. We present a vision according to which Intelligent Vehicles will evolve into Human-peer Robots, here called Co-Drivers. Co-Drivers will be able to “understand” human drivers and to...
In this paper, we present a novel approach for human action recognition with histograms of 3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D skeletal joint locations from Kinect depth maps using Shotton et al.'s method [6]. The HOJ3D computed from the action depth sequences are reprojected using LDA and then clustered into k posture visual words, which represent...
This paper presents a novel method to characterize mechanical impedance of a human joint. We employed a non-parametric stochastic identification method and an interactive robot. This method allows us to determine several important properties including a) joint impedance in the direction of the joint principal axes, b) the spatial joint impedance structure, and c) the passivity properties of the joint...
Instrumentation able to estimate upper limbs kinematics has a lot of relevance in the context of rehabilitation of stroke patients. The systems based on inertial systems seem to be well suited for clinical environment and numerous authors have presented wearable systems interesting in terms of accuracy and easiness of implementation. These systems always require an initialization procedure and the...
Random forests have been successfully applied to various high level computer vision tasks such as human pose estimation and object segmentation. These models are extremely efficient but work under the assumption that the output variables (such as body part locations or pixel labels) are independent. In this paper, we present a conditional regression forest model for human pose estimation that incorporates...
We propose a framework that performs action recognition and identity maintenance of multiple targets simultaneously. Instead of first establishing tracks using an appearance model and then performing action recognition, we construct a network flow-based model that links detected bounding boxes across video frames while inferring activities, thus integrating identity maintenance and action recognition...
We present a generic framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs in depth maps. First, from a set of random depth features, Random Forest is used to infer a set of label probabilities for each data sample. This vector of probabilities is used as unary term in α-β swap Graph-cuts algorithm. Moreover,...
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