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Summary form only given. Human-computer interfaces (HCI) have evolved from mouse-keyboard based interaction using text and mouse events to multi-touch screens and other exotic approaches such as using special gloves or other devices to translate human actions into application controls. One of the trends which are “en vogue” in our days is the control of computer applications and/or computer controlled...
Interactive robots are required to have minimal footprint on the shop floor and to be able to work in constrained areas while ensuring the safety of the humans. To this end, modeling of an unstructured environment including the humans is an indispensable part of the online control schemes deployed in such robots. In this regard, a new approach is proposed for generating an efficient model of the human...
Optical motion capture is a prevalent technique for capturing and analyzing movement. However, a common problem in optical motion capture is the missing marker problem due to occlusions or ambiguities. Most methods for resolving this problem either require extensive post-processing efforts or become ineffective when a significant portion of markers are missing for extended periods of time. In this...
A requirement for human friendly robot had increased dramatically with the demand of assistive robotic having direct interaction with human. We were aiming at generating a smooth and natural cooperative transfers performed by a human-robot system. Prior to the development of such system, characteristics for smooth and natural cooperative object transfer in a human-human system were investigated. Specifically,...
Gaze direction is an important cue that regulates social interactions. Although humans are very accurate in determining gaze directions in general, they have a surprisingly liberal criterion for the presence of mutual gaze. We first established a psychophysical task to measure the cone of gaze, which required observers to adjust the eyes of a virtual head to the margins of the area of mutual gaze...
Objects are integral to a robot's understanding of space. Various tasks such as semantic mapping, pick-and-carry missions or manipulation involve interaction with objects. Previous work in the field largely builds on the assumption that the object in question starts out within the ready sensory reach of the robot. In this work we aim to relax this assumption by providing the means to perform robust...
fMRI data analysis is challenging because data are generally a modest signal embedded in a high dimensional space. We present here a method for classification and discrimination among fMRI data that is based on the Self Organizing Map (SOM) algorithm. This allows no prior selection of spatial or temporal features. We applied the method to single-subject and inter-subject classification. fMRI data...
Virtual environments have been valued as being extremely motivating for learners and therefore are employed as an innovative, more accessible framework to deliver education and entertainment to the public. Recent advances in creating videogame applications imbedded with effective learning principles, along with the evolution of human computer interfaces performed within the entertainment industry,...
In this paper, a new rapid 3D human modeling and animation method based on sketch and motion database is proposed. This method reconstruct 3D human ball B-Spline model from sketch and implement real-time animation using motion database. We firstly blend all parts of sketch to obtain a new sketch which can represent human by one stroke. Then we triangulate this new sketch and select some circum circle...
This paper explains a study on natural interaction (NI) in human body motion using depth image data. It involves about overview of NI and depth image data. Human body motion is a non-verbal part for interaction or movement that can be used to involves real world and virtual world. Furthermore, interaction with computer or machine can be more realistic as real world and becoming more important to academic...
This paper presents a novel approach for combining optical flow into enhanced 3D motion vector fields for human action recognition. Our approach detects motion of the actors by computing optical flow in video data captured by a multi-view camera setup with an arbitrary number of views. Optical flow is estimated in each view and extended to 3D using 3D reconstructions of the actors and pixel-to-vertex...
In this paper, we propose the inverse kinematics method based on high-order moment features and their Jacobian matrices, which can use an arbitrary information source about the shape of the targeted kinematic chain as reference input. The method is especially useful to generate the motion of humanoid robots and human figures, and we can generate the whole body pose from a set of 3D markers or pixels...
In this work we introduce a novel approach for robot grasp planning. The proposed method combines the benefits of programming by human demonstration for teaching appropriate grasps with those of automatic 3D shape segmentation for object recognition and semantic modeling. The work is motivated by important studies on human manipulation suggesting that when an object is perceived for grasping it is...
In recent years, there has been increased interest in characterizing and extracting 3D information from video sequences for object tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In this work, 2D features of a target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular...
We report on the development of a novel in vitro, multi-compartmental, three-dimensional, Human Skin Tissue Experimental Model (HISTEM) using three-dimensional free form fabrication (3DFFF). The availability of this model is expected to positively impact the development of transdermal vaccines and immunomodulators for infectious diseases and autoimmune disorders. Our studies demonstrate the biological...
How to recognize human action from videos captured by modern cameras efficiently and effectively is a challenge in real applications. Traditional methods which need professional analysts are facing a bottleneck because of their shortcomings. To cope with the disadvantage, methods based on computer vision techniques, without or with only a few human interventions, have been proposed to analyse human...
Recent face recognition strategies tend to solve the face recognition problem from a 3D perspective. In this paper, we investigate a new 3D face image acquisition and capturing system, where we demonstrate our test-bed and the initial results for 3D face image feature characteristic and extraction. In our test-bed, we utilize the Dimensional Imaging's standard DI3D system which is designed to capture...
In this paper, we propose a novel interface called Joyman, designed for immersive locomotion in virtual environments. Whereas many previous interfaces preserve or stimulate the users proprioception, the Joyman aims at preserving equilibrioception in order to improve the feeling of immersion during virtual locomotion tasks. The proposed interface is based on the metaphor of a human-scale joystick....
The 3D information technology has taken great influence on human life since 2010. The stereo images shared through network will become very popular. Since the stereo images have huge amount of data, it is impossible to transfer stereo images through network. The image pair method has been proposed to solve stereo images share through network. The image pair takes the character of stereo images to...
This paper studies the basic thoughts and impacts of traditional non-contact algorithms of human body modeling. The algorithms of most existing modeling methods are multiple and complex, and in this paper they are mainly classified into three types according to the optical, geometry and topology character of human body they are based on. And some brief comparisons and analyses are given among the...
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