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Firstly, this paper expounds the basic physical theory from the players, the sports technology aspects, and the quality of physical addresses is in the kinetic theory of the status. The role on the discussion of the physical and technical theory as well as the practice for the sport is in existence. Thus, with the practice of modern sports training, it gives a set of basic theory.
This paper is the first report of robotic ICSI (intracytoplasmic sperm injection). ICSI is a clinical procedure performed worldwide in fertility clinics, requiring pick-up of a single sperm and insert it into oocyte (i.e., an egg cell). Since its invention 20 years ago, ICSI has been conducted manually by a handful of highly skilled embryologists; however, success rates vary significantly among clinics...
People detection and tracking is a key component for robots and autonomous vehicles in human environments. While prior work mainly employed image or 2D range data for this task, in this paper, we address the problem using 3D range data. In our approach, a top-down classifier selects hypotheses from a bottom-up detector, both based on sets of boosted features. The bottom-up detector learns a layered...
Many people incorporate music into their daily lives, and the development of robots with musical awareness provides an opportunity for rich forms of human-robot interaction. Robots must, however, acquire a variety of skills before being able to participate in musical activities. In order to dance or play an instrument, for example, a robot be able to utilize substantial auditory and visual information...
This paper addresses a human skill quantification technique with human command decision characteristics in human-machine systems. In machine operation systems, getting operation skills is not easy and required learning time. Proposed technique aims at realizing assist system to human skill achievement. However, in previous works, the operator skill is evaluated by tracking error for tracking tasks...
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...
In this paper, efficient model estimation based on particle filter for visual object tracking in automated video surveillance is proposed. Particle filter is used for our object prediction. We try to reduce complexity of particle filter by embedding non-stationary Gaussian object model into particle filter algorithm in that the dimension of the object state can be reduced. The object model is based...
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...
We are interested in tracking human postures by deploying accelerometers on a human body. One fundamental issue in such scenarios is how to calculate the gravity, no matter when human body parts are moving or not. Assuming multiple accelerometers being deployed on a rigid part of a human body, a recent work proposes a data fusion method to estimate the gravity on that rigid part. However, how to find...
This paper introduces a novel interface between game players and game contents for a physical interactive game. The physical interactive games are getting the spotlight in the international game market. To make the game more interesting, a variety of game interfaces connecting the game player with game contents have also recently attracted a lot of attentions with them. The most popular interfaces...
In this paper, we proposed an approach of multi-person movement tracking in office environment without any identity conflicts. Simple image processing with frame differentiation method is applied to identify multiple human motion. An Expert System is applied to predict next camera occurrence of the tracking human. The main objective of this work is to detect and track multi-human motion using single...
Considering of the low income and shortage of computer in developing countries, many people have the idea of sharing technical resources. This paper describes a new kind of eye-controlled multi-mouse application based on OpenCV. By using the recent image recognition technology, the design of this paper only use the laptop's build-in camera or commonly used video camera to achieve eye-controlled mouse...
Due to the numerous amounts of surveillance cameras available, security guards seem to be ubiquitously watching over. However, the number of existing cameras exceeds the number of humans to monitor them and the supervision of all the sensors' output is costly. Thus, video footage from cameras is most often only used as a forensic tool. This suggests the need of an intelligent video surveillance system...
In this paper, we propose and investigate a low-complexity human motion tracking system which is based on ultra-wideband (UWB) radio nodes. The maximum likelihood (ML) solution of the localization problem that arises in such a system has been presented in [1]. However, the ML solution has a computational complexity that prohibits cost-effective real-time human motion tracking. In this paper, an iterative...
Object tracking is a paramount task in video surveillance systems. Although many efforts have been accomplished on object tracking during the last years more work is still needed in order to generate more robust systems. A new fuzzy method for object tracking is presented in this paper. The proposed method is composed of two Sugeno type systems with weighted average memory output functions. One of...
Training home robots to behave like human can help people with their daily chores and repetitive tasks. In this paper, we present Imirok, a system to remotely control robotic arms by user motion using low-cost, off-the-shelf mobile devices and webcam. The motion tracking algorithm detects user motion in real time, without classifier training or predefined action sets. Experimental results show that...
The International Standards Working Group was chartered amongst NASA and a variety of global space interest organizations to investigate the existence, need, and proper introduction of technology standards as an architecture was being developed for a series of lunar missions. The ISWG attacked the request by identifying the various interfaces associated with the proposed architectural assets (92 in...
In this paper, we present a method for human full-body pose estimation from Time-of-Flight (ToF) camera images. Our approach consists of robustly detecting anatomical landmarks in the 3D data and fitting a skeleton body model using constrained inverse kinematics. Instead of relying on appearance-based features for interest point detection that can vary strongly with illumination and pose changes,...
A good data corpus lies at the heart of progress in both perceptual/cognitive science and in computer vision. While there are a few datasets that deal with simple actions, creating a realistic corpus for complex, long action sequences that contains also human-human interactions has so far not been attempted to our knowledge. Here, we introduce such a corpus for (inter)action understanding that contains...
The goal of this work is to detect pairwise primitive interactions in groups for social interaction analysis in real environments. We propose a system that extracts locations and head poses of people from videos captured in an unconstrained environment, namely a research lab. Our system is designed to work with realistic data capturing natural human interactions. An efficient tracking method based...
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