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In this paper, we present a novel generative method for human motion tracking. The principle contribution is the development of clonal selection algorithm for pose analysis in latent space of human motion. Firstly, we use ISOMAP to learn the low-dimensional latent space of pose state and a manifold reconstruction method is proposed to establish the smooth mappings between the latent and original space...
In this paper, we developed a KANSEI communication system between human and robot based on emotional synchronization to human emotional state using facial expression recognition. And we conducted experiments to evaluate the effectiveness of the proposed system. The robot recognizes human emotion through their facial expressions, and synchronizes its own emotion with the recognized emotion dynamically...
In this paper we present a visual processing system for bionic eye with a focus on obstacle avoidance. Bionic eye aims at restoring the sense of vision to people living with blindness and low vision. However, current hardware implant technology limits the image resolution of the electrical stimulation device to be very low (e.g., 100 electrode arrays, which is approx. 12 × 9 pixels). Therefore, we...
In this paper, we develop a multi-human detection system with a team of robots basically in an indoor environment. To start with, we propose a hybrid approach to resolve the problem of human leg detection using Laser Range Finder (LRF) for each robot, that returns not only “true” or “false” type of answer but also a probability. Specifically, the set of measurement data obtained from the laser range...
In this study, we use paired data of 281 employees and 36 human resource managers of 36 enterprises in Yangtze River delta of China to test the relationship between incentive compensation and employees' negative behaviors and the moderating effect of organizational commitment. The results show that: incentive pay has significant negative influence on employees' neglect and exit behavior. For employees...
Neural decoding is an active research area concerned with how sensory and other information is represented in the brain by networks of neurons. An important step in neural decoding research is to collect the subject's motion and neural activities synchronously, which requires a real-time motion capture system with high accuracy. In this paper, we propose a practical motion capture framework with the...
This paper presents an automatic people counting system based on face detection, where the number of people passing through a gate or door is counted by setting a video camera. The basic idea is to first use the frame difference to detect the rough edges of moving people and then use the chromatic feature to locate the people face. Based on NCC (Normalized Color Coordinates) color space, the initial...
When using dataglove for capturing the motion of human's hand, the cross-over effects in relative sensors can severely affect the captured data accuracy. In this paper, we present a novel method for eliminating the cross-over effects in these sensors using natural neighbor interpolation. The goal of our method is to establish a mapping between actual angles of the target sensors and the readings from...
Real time functional magnetic resonance imaging (rtfMRI) allows capturing and analyzing the image of brain activity instantly by measuring the blood oxygen level-dependent (BOLD) signal. Based on rtfMRI, it could provide on-line feedback of human subjects to learn self-regulation of physiological processes, which had shown significant and potential applications in many conducted researches. With the...
A central problem in the analysis of motion capture (MoCap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should facilitate the recognition, synthesis, and characterization of actions. We propose an unsupervised learning algorithm for automatically decomposing joint movements in human motion capture (MoCap) sequences into shift-invariant basis...
Traveling-schedule (TS) arrangement is a classical ill-define problem which lacks of structure and fulfills uncertainty and dynamic complexity. In general, there are two ways to resolve TS arrangement (TSA) problem, including: package tourism provide by travel agency who arrange entire traveling program. The other is independent tourism that travelers should collect information and arrange all traveling-detail...
In this paper we proposed a novel navigation scheme and apply it to the home environment. Robot navigation in the presence of human is highly focused in the field of robotics these days. While the robot maneuvering in crowded space, like home and office environments, we should not only consider collision avoidance but also pay attention to human feelings. In order to deal with this issue, we present...
3D hand gesture tracking is one of the key problems in human-computer interface design and has attracted increasing attention as an alternative way to traditional input devices, such as mouses and keyboards. Generally speaking, a human hand, as a typical articulated structure, has 15 joints and high dimensionality with 26DOFs, which makes it very difficult for real time tracking. A novel approach...
Social signal processing is an emerging field that gains more and more attention. As a key element in the field, visual perception of human motion is important for understanding human behavior in social intelligence. Motivated by the hypothesis of muscle synergies, we proposed action synergies for automatically partitioning human motion into individual action segments in videos. Assuming the size...
In this paper an efficient copyright protection watermarking algorithm is proposed. By embedding orthogonal vector into the wavelet-tree structure of the host image, we get the watermarked image. At the same time human vision system is considered to get perceptual results. We design an elaborate function for blind watermarking scheme. This function can dynamically determine the embedding position...
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