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In gait training for walking rehabilitation, it is essential to maintain a good balance during walking (i.e., both legs equally loaded). Therefore, scales are frequently used in order to feed back the load of the lower limbs to the trainee. However, in this situation, the trainee has to look down to check whether the scale and the trainee's walking posture is affected in an undesirable manner. In...
Analyzing and visualizing large datasets generated by real-time spatio-temporal activities (e.g. vehicle mobility or large crowd movement) are a very challenging task. Recursive delays both at middleware and front end applications limit the of usefulness of the real-time analysis. In this paper, we present a framework “Spatial-Crowd” that first handles spatial-temporal data acquisition and processing...
The purpose of this paper is to realize the real time correction of geometric distortion of the non-follow-up dome-screen used in the motion simulator. To achieve this goal, the change of the trainer's observation area and the observing position that deviate from eye point are analyzed first, when the relative movement of the dome-screen and platform occurs. Then, based on the analysis above, we use...
Summarized the mainly algorithms of terrain three-dimensional visualization in virtual reality, for the large-scale terrain data organization in three-dimensional virtual war zone simulation, analyzed the characteristic of change of scene, according to motion regulation and idea of layer and block, presented the organize principle of external static data and terrain blocks index regulation, for the...
Analyzing smart city data can reveal various important facts related to cities, thus smart city initiatives have attracted much attentions of computer science researchers as well as data scientists. Analyzing smart city data in a real-time manner is an important scenario of smart city data analysis. Real-time analysis can alert emergent situations (e.g., traffic accidents, squalls), recommend useful...
Many tracking algorithms applied in medical image processing, such as observing the movement of cells, have a great improvement in accuracy and robustness. However, it is difficult to deal with the large area occlusion and complete occlusion. In this paper, we propose a fast scale adaptive tracking algorithm based on correlation filtering. Except tracking the change of the target scale quickly, our...
This paper proposed an assistive device based BCI system to serve persons with severe disability for communication enhancement. Using NeuroSky EEG headset wireless system was employed to acquire the EEG signal and send to a control unit for command generating. Moreover, the proposed system has to concern a beginning user. Neurofeedback training was utilized to train user to control the attention....
For more than 50 years, satellite systems have been utilized in various fields and this trend is still progressing. Therefore experts and specialists in this domain are still required and efficient trainings are needed. Unfortunately, laboratory experiments for investigation of the satellite-Earth systems are difficult to realize so suitable visualization tools are efficient way how to support education...
Real-time human detection is a challenging task due to appearance variance, occlusion and rapidly changing content; therefore it requires efficient hardware and optimized software. This paper presents a real-time human detection scheme on a Raspberry Pi. An efficient algorithm for human detection is proposed by processing regions of interest (ROI) based upon foreground estimation. Different number...
This paper presents a novel method for online real-time content-based image training and retrieval. The method relies on bags-of-words with SIFT features, and data can be extracted from a generated large scale vocabulary tree to describe all kind of images. The large-scale vocabulary tree can be seen as a code book that new images can be described. We use a large-scale vocabulary tree to generate...
The growing need of Disaster management requires some specialties in sophisticated technologies. Navigating an Unmanned Aerial Vehicle (UAV) in an unknown indoor environment is a complex task. This work tries to implement an autonomous system, which navigates the Low-cost Quadcopter with an on-board computer, sensors and Ground station which carries out a spatially consistent probabilistic model for...
In this paper, a visualization system of immersion into 3D magnetic field based on the augmented reality technology using a head mounted display, for education purpose, is presented. By utilizing the proposed visualization method, a user can easily observe and perceive in real-time a magnetic field distribution generated by single/multiple sources (e.g., permanent magnets and/or coils) and other magnetic/nonmagnetic...
Safety and acceptability are main concerns in the design of driver assistance system. In fact, these two requirements sometimes may conflict with each other depending on e situation and driver. This conflict is more emphasized particularly in the case of considering elderly driver. In order to solve this problem, this paper proposes a new driver-vehicle cooperation scheme, a ‘supervisory cooperation...
As one of research directions of Intelligent Transportation System (ITS), Cooperative Vehicle Infrastructure System (CVIS) has attracted the attention of domestic and foreign researchers. CVIS is a complex large system, so it is very necessary to simulate and verify the system before put it into use. In this paper, the traffic simulation environment is built, including road network, vehicles, city...
This paper presents a framework for assessing players' health during full-body motion gameplay. Recently, health promotion through the means of exergaming is flourishing. However, little attention has been given on the risk of sustaining injuries caused by unhealthy exercising postures. Mechanisms for monitoring of unhealthy postures and measuring of the amount of body movements are added into UKI,...
Spacecraft Formation reconstructed for visibility and interaction is not strong, proposes a new HLA-based distributed spacecraft formation reconstructed visual simulation technology. The visual simulation technology achieved by the relative motion of spacecraft orbital mechanics combined fleet reconstruction methods were studied, and the use of HLA distributed simulation technology for spacecraft...
Human detection is an essential task in so many applications, especially surveillance systems. Recently, ConvNets (Convolutional Neural Networks)-based YOLO model is a successful method applied for object (including human) detection. It is one of the fastest way to detect directly objects from the input image. However, compared to the ConvNets-based state-of-the-art object detection methods, YOLO...
Real-time geovisualization of disaster scenes provides visual situational awareness, which could decrease medical triage time, and also allows first responders to better allocate relief resources. In this paper, we describe a novel contextual geotracking service that provides spatiotemporal visualization of response history through the use of mobile devices and a wireless mesh network. During crisis...
Based on the real-time image capturing and recognition, the robot is responsible to inspect the working status of various equipments in the smart substation. In this paper, an adapted efficient robotics visual servo algorithm is proposed in order to improve the accuracy of capturing the target images. When the robot captures image of the equipment, SIFT method is utilized to match with the template...
In this paper we present a real-time approach to stitch large-scale aerial images incrementally. A monocular SLAM system is used to estimate camera position and attitude, and meanwhile 3D point cloud map is generated. When GPS information is available, the estimated trajectory is transformed to WGS84 coordinates after time synchronized automatically. Therefore, the output orthoimage retains global...
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