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An open vision problem is to detect the people and automatically estimate the body configuration. Finding people and localizing their body parts is hard because people can appear in variety of clothes, pose and they can move unpredictable. Numerous solution and methods have been developed over the years and often this address some special cases. One proposed direction to solve the non-rigid object...
In this paper, we address the recovering from monocular images focusing on designing a novel image descriptor derived from the second generation Bandelet transformation, noted as Bandelet2, to tackle with estimation accuracy combined with state-of-art prediction methods. The proposed Bandelet2 image representation could boost the accuracy for the final 3D pose prediction in monocular video images...
Academic evaluation provides the academic innovation with an exterior academic environment, and is also a restriction of the academic innovation. Academic innovation provides the condition and guidance for the innovation of academic evaluation, which are interrelated and mutually affected. The academic evaluation system featuring quantitative estimation on University teachers in our country accelerates...
The awareness of the physical activity that human subjects perform, and the quantification of activity strength and duration are important tasks that a wearable sensor system would fulfill to be valuable in several biomedical applications, from health monitoring to physical medicine and rehabilitation. In this work we develop a wearable sensor system that collect data from a single thigh-mounted tri-axial...
With increasing interest in the effect of postural changes on arterial blood pressure and vascular properties, it is important to understand effects of pressure-dependent arterial compliance. This study investigates effects of pressure-dependent compliance on pulse wave velocity (PWVar), pressure wave shape, and transmission characteristics in an arterial model of the human arm from heart to radial...
Multi-joint/multi-degree of freedom (DOF) human arm impedance estimation is important in many disciplines. However, as the number of joints/DOFs increases, it may become intractable to identify the system reliably. A robust, unbiased and tractable estimation method based on a systematic dynamics decomposition, which decomposes a multi-input multi-output (MIMO) system into multiple single-input multi-output...
This paper describes an optimal measurement position estimation by the discriminant analysis based on Wilks' lambda for the myoelectric hand control. In the past studies, the myoelectric signals were measured from the same positions for the motions discrimination. However, the optimal measurement positions of the myoelectric signals for the motion discrimination are different according to the remaining...
Karyotyping, or the automatic classification of human chromosomes, is mostly based on the analysis of the chromosome specific banding pattern. Unfortunately, the most informative phases of the cell division cycle are composed of long chromosomes that easily overlap: the involved banding pattern information is corrupted, resulting in a drastic increase of the classification error. Assuming the availability...
Information about the quality of a recorded physiological waveform can be valuable for the detection of critical medical conditions. This work presents a new point-by-point signal quality index (SQI) based on adaptive multichannel prediction which does not rely on ad-hoc morphological feature extraction from the target waveform. An application of the SQI to photoplethysmograph waveforms showed that...
To improve degree of freedom (DOF) of system control using surface electromyogram (SEMG), we made a basic study of the estimation of user's intended motion including combined motion which is performed by more than one basic motion simultaneously. Our developed system requested to obtain three SEMG characteristics of basic motion and one SEMG characteristics of rest state. This study defines the motion...
This paper sums up the results of bioradiolocation experiments dedicated to the monitoring of human adaptive capabilities, which were conducted at Remote Sensing Laboratory (Bauman Moscow State Technical University) during last two years. The main task of bioradiolocation is remote or non-contact measurement of movement, breathing and pulse parameters of biological objects behind an obstruction or...
This research paper addresses the reliability of estimation techniques based on technical knowledge possessed by software engineers. The goal was to identify weaknesses and limitations in the estimation practices based on Wideband Delphi method and to propose an alternative solution. The initial experiment highlights the results of employing a different estimation method based on Wisdom of Crowds...
This paper proposes a method for detection of human ID and accurate position estimation simultaneously in an intelligent environment. In the proposed method, a human being with an acceleration sensor including ID number is tracked by laser range scanners distributed in the intelligent environment. Human walking activities are measured and associated between laser range scanners and an acceleration...
Current work focuses on the detection of human behavior emotional cues and their incorporation into affect aware Natural Interaction. Techniques for extracting emotional cues based on visual non verbal human behavior are presented. Namely, gesture qualitative expressivity features and head pose and eye gaze estimation are derived from hand and facial movement respectively. Extracted emotional cues...
A stylistic device frequently employed by filmmakers is the synchronous montage (composition) of audio and visual elements. Synchronous montage helps to increase tension and tempo in a scene and highlights important events in the story. Sequences with synchronous montage usually contain rich semantics which is relevant for understanding a movie. This property is currently not exploited in automated...
Floor-area Ratio as the main index on the control of land use is one of the key factors having an effect on the land value. Referring to the actual situation of the land grade and land value estimation in Beihai city, this paper firstly analyses the principals between floor-area rate and land value from many Theoretical views; then put foreword the concrete methods of how to determining the Modification...
It can be essential in the new-generation content services to predict the potential demands of people, which they themselves have not recognized or cannot express precisely. Social graphs representing the relationships between people are used for predicting demand in current Internet-based services. However, these graphs cannot represent the relationships of two users residing in common communities...
For intelligent human-machine systems supporting user's operation, prediction of the user behavior and estimation of one's operational intention are required. However, the same high abilities as human being are required for such intelligent machines since human decides own action using advanced complex recognition ability. Therefore, the present authors proposed a Bayesian intention estimator using...
In this paper, a human detection and tracking system in a crowded environment is presented. The biggest challenge of the system is to detect occluded people from the captured video where visible information of the occluded people in a camera is reduced. Many researchers proposed to reconstruct the occluded information from other cameras which are installed in the same place with different viewing...
Estimation of the seismic risk of schools in developing countries is an important but challenging task. In this paper, we report an attempt to estimate the damage and losses of primary schools during the Mw7.9 Wenchuan earthquake that ruptured on 12 May 2008 using SELENA (SEismic Loss EstimatioN from a logic tree Approach). In this study, the seismic hazard was assessed with the probabilistic analysis...
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