The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper is on a connected and autonomous vehicle hardware-in-the-loop (HiL) simulator for developing automated driving algorithms. This simulator allows the user to run highly realistic hardware-in-the-loop simulation of connected and autonomous driving functions. The HiL simulator of this paper consists of a dSPACE Scalexio system which runs Carsim Real Time with Traffic and Sensors and is connected...
This paper presents a new stereo configuration based on sensor rotation. Different from the traditional stereo vision system which consists of multiple cameras, our rotational stereo device is built with a single image sensor. By constraining the sensor's planar motion perpendicular to the optical axis with an offset to the axis of rotation, the visual parallax can be generated with multiple viewpoints...
We propose an H∞ design for a fuzzy controller based on a sum of squares (SOS) approach to synchronize a chaotic system. The stability conditions of a chaotic system with external disturbances, which are represented in terms of SOS, are derived to reduce the effects of external disturbances. The disturbance attenuation performance is guaranteed by an H∞ criterion. The proposed conditions for the SOS...
The fuzzy restricted Boltzmann machine (FRBM) is demonstrated to have better generative and discriminative capabilities than traditional RBM. We now further investigate and compare the generative ability of DBN with FRBM on image reconstruction. The DBN is pre-trained by stacking RBMs layer by layer and then fine-tuned by the wake-sleep algorithm. Then the FRBM, RBM and DBN are compared in detail...
This paper investigates if sensory perceptions of orange drinks (e.g., acidity, thickness, wateriness) can be linked to physical measurements (e.g., pH, particle size, density). Using this information, manufactured drinks can be tailored according to consumer' desires by, for example, the consumer providing a sensory description of their preferred drink. Sensory perceptions of different juices are...
In the paper, we propose a rigid motion segmentation algorithm with the grid-based optical flow. The algorithm selects several adjacent points among grid-based optical flows to estimate motion hypothesis based on a so-called entropy and generates motion hypotheses between two images, thus separates objects which move independently of each other. The grid-based entropy is accumulated as a new motion...
Decision support systems for network security represent a critical element in the safe operation of computer networks. Unfortunately, due to their complexity, it can be difficult to implement and empirically assess novel techniques for displaying networks. This paper details an open source adaptive user interface that hopes to fill this gap. This system supports agile development and offers a wide...
Nowadays, a lot of IT personnel have psychological distress. Meanwhile, counselors to help them are lack in number. To solve the problem, we proposed a counseling agent (CA) called CRECA (context respectful counseling agent). CRECA listens to clients and promotes their reflection context respectfully namely in a context preserving way. This agent can be enhanced using a body language called "unazuki"...
This paper investigates the use of a variable haptic feedback for training a disturbance rejection task. The haptic feedback was designed as a Force-Stiffness feedback. Throughout the training, Force and Stiffness feedback are decreased to progressively give more control authority to the human operator. The training method was tested in a human-in-the-loop experiment. In the experiment, participants...
In this paper, we propose a novel eye-tracking method that uses a multispectral camera to simultaneously track the pupil and recognize the iris. Our hybrid approach leverages existing methods, combining them so as to compensate for weaknesses present in each individual method when used alone. Significantly, our method allows for movements of the center of rotation of the eye to be taken into consideration,...
The elderly people living alone or life of a patient face distress situations particularly in case of falling and becoming unable to ask for help. Fall in elderly people may result in head injury, broken hips, and bones that need immediate hospitalization to lower the mortality risk. During the last decade, several technological solutions were presented for early fall detection but most of them have...
Because visually impaired persons are not able to confirm the appearance of their own face, they are afraid of and uneasy about makeup. We have been developing a system that assists makeup application through verbal feedback according to the appearance of the user's face. The system encourages social communication by helping the user feel confident. In this paper, we introduce a new method of using...
The elderly sometimes fall owing to tripping caused by decreased dorsal flexion during the swing phase. A wearable assist device that was able to increase dorsal flexion to reduce the risk of tripping was proposed in this study. This device assists in dorsal flexion during the swing phase by transferring the tension force from the upper body to the foot by connecting them using strings. To improve...
In this paper a novel approach for navigational path detection problem for the visually impaired was presented. A deep learning model based on state-of-the-art fully convolution neural networks have been proposed that can accurately semantically segment any navigational areas on pixel-wise level in different scenes without any prior assumptions about the environment of the scene such as textures or...
Monocular ORB-SLAM has been proved to be one of the best open-source SLAM method. However, it is still unsatisfying especially in low illumination indoor environment, which is caused by scale recovery and wrong feature matching. In this paper, we proposed a vehicle model based monocular ORBSLAM method supplemented by April-Tag to improve the performance of original algorithm. This approach is practical...
Error-related electroencephalographic (EEG) potentials (ErrPs) have been explored to improve the reliability of modern Brain-Computer Interfaces (BCIs), thanks to the information they carry about user awareness of erroneous responses. ErrPs detection on a single-trial basis has been successfully demonstrated, and proved to effectively enhance human-computer interaction and BCI performance. Previous...
This paper presents a framework for hand gesture recognition based on 3-channel electromyography (EMG) sensors. In the framework, the start and the end points of meaningful gesture segments are detected automatically by checking the cross points of EMG signals and their moving average curves. Then, a classifier combining k-Nearest Neighbor (kNN) and Decision Tree algorithms is used for achieving gesture...
Video summarization plays an important role in providing a compact representation of large volumes of video sequences through the search for the most informative or representative portions of their content. In this work, we propose and analyze a novel video summarization method based on texture and color information to describe the video frames in order to produce an effective visual abstract of the...
In multiple attribute decision analysis (MADA) problems, one often needs to deal with assessment information with uncertainty. The evidential reasoning approach is one of the most effective methods to deal with such MADA problems. As a kernel of the evidential reasoning approach, an original evidential reasoning (ER) algorithm was firstly proposed by Yang et al, and later they modified the ER algorithm...
In this paper, we investigate the sampled-data control problem for polynomial sampled-data fuzzy system with time-varying delay. Based on sampled-data technique, a fuzzy controller is designed to guarantee the stability of closed-loop polynomial fuzzy system. By examining the stabilization problem, the Lyapunov-Krasovskii functional (LKF) is adopted and a delay-dependent stabilization condition is...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.