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A variety of experimental paradigms have been proposed in the field of Brain-Computer Interface(BCI). Among them, the P300 speller allows participators to input characters to a computer directly from their own brains. Estimating available features of P300 from raw electroen-cephalogram(EEG) is a key step of implementing P300 speller. In this paper, a novel combination of Autoregressive model and sparse...
This paper discusses a technique to estimate the position of a sniper using spatial array located on a raised platforms. Shooter location is estimated from topographic information of the area and the direction of arrival (DoA) of the gunshot signal; in particular, its component produced by the explosion in the barrel of the gun, known as muzzle blast. The direction of arrival is based on the time...
In this paper we propose a framework of customer baseline load (CBL) estimation for demand response in Smart Grid. The introduction of demand response requires quantifying the amount of demand reduction. This process is called the measurement and verification. The proposed framework of CBL estimation is based on the unsupervised learning technique of data mining. Specifically we leverage both the...
One of the goals in the study of infectious disease is to construct a reliable predictive model on the pathogen-host interactome. Conventional methods on the construction of model consider the problem as a binary classification problem. However, most databases only consist of detected interactions and lack of negative results. Thus, as compare to binary classification, this situation is closer to...
In recent years, the object of study in the science has gradually transmitted from vehicle to pedestrian and has an increasing requirement of the accuracy. In aspect of pedestrian tracking, this thesis introduces a new tracking unit based on the fact that in most cases, the occlusions of the pedestrians are partial and using it in multiple pedestrians tracking. Results shows that the tracking unit...
Ultrasound Shearwave Elasticity Imaging (SWEI) is a set of methods for measuring the elastic properties of biological tissues. Since the elastic properties of tissue are known to change with disease state, the application of these methods to clinical staging of disease is an active area of research. However, the fundamental signal generation and processing techniques required to make these elastic...
This paper addresses attitude estimation for UUVs(Unmanned Underwater Vehicles) using low-cost MEMS(Microelectromechanical Systems) AHRS(Attitude Heading Reference System). It compares extended Kaiman filter, unscented Kaiman filter, and complementary filter method used for attitude estimation. The experiment uses the estimated attitude for localization of a UUV(Unmanned Underwater Vehicle) based...
In this paper, we present a new approach to automatically acquire the kinematic model of a robot equipped with a multi-modal, modular artificial skin. Here, we make use of the tri-axial accelerometer built into every cell of our artificial skin, along with a set of open loop test motions of the robot. With a circle point analysis we extract the relevant vectors to assemble a forward kinematic model...
In recent years, various robot hands and arms have been developed for achieving dexterous manipulation tasks. However, there are few robots that are able not only to move quickly but also to handle tools dexterously. Motion in the Japanese game kendama is one example of dynamic manipulation and skillful handling. Although robotic kendma has been studied in the past, these robotic hands cannot be used...
Most robots are today controlled as being entirely rigid. But often, as for HRP-2 robot, there are flexible parts, intended for example to absorb impacts. The deformation of this flexibility changes the configuration of the robot, particularly in orientation. Nevertheless, robots have usually inertial sensors (IMUs) to reconstruct their orientation based on gravity and inertial effects. Moreover,...
Video compression is the most active research area in multimedia and signal processing. The most important component in multimedia is video. From surveillance to disease diagnosis video has numerous applications. Videos generally contain huge temporal redundancy. Hence, such video requires the use of motion vector estimation technique in order to remove the temporal redundancy. Although motion vector...
This paper introduces a glasses tracking interface as an alternative to tracking the human head, which can be used in human-robot interaction. The main idea of this study is originated from the fact that the face of a glasses frame resembles two coplanar conies, which can be extracted and approximated simply through visual processing. We mainly address, in this paper, how the 3-D pose of two-conics...
This paper proposes an estimation approach based on Kalman filtering for determining the temperature of the stator windings of a Permanent Magnet Synchronous Motor (PMSM). Two schemes based on the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF) are investigated. The estimation is performed in a closed loop currents control scheme for a surface mounted PMSM. The temperature behavior...
In this paper, we figure out the problems of existing wall estimation methods using a 2D sensor and propose a reliable wall estimation method using a RGB-D camera. First, a point cloud is obtained by the RGB-D camera, and a surface normal is calculated at each point. Next, planes such as floor, right and left planes are classified by angle thresholding of the normal vector, where the thresholding...
When packed loss caused by bit error occurs in the data transmission of IP network, one should retransmit the corrupted data to avoid information loss. However, this will take more damage for those business in which retransmission is difficult to realize or will limit the performance of system. In order to reduce this damage, this paper studied the checksum restriction mechanism of the IPv4 header...
Estimation of human activities using regression techniques has been performed in this paper. The activities considered for investigation are sitting, standing and walking. As the number of independent variable considered in the proposed work is more than two, Multiple Variate Regression (MVR) technique is applied to estimate the activities. From the performance analysis, it is found that this technique...
This paper proposes a system on the basis of guidance information from music score and Bayesian harmonic model and a two-dimensional Hidden Markov (2D-HMM) states model with particle filtering to address the separation of single-channel polyphonic music source. It is showed in a large number of experiments that in recording and synthetic polyphonic music material, the informed separation method performs...
In this paper, we study the depth estimation for image sequence with small displacements as in Breast Self Examination (BSE). We utilized its Lucas-Kanade optical flow vectors, the concept of divergence and focus of expansion to estimate the apparent depth level for each frame. Moreover, orientation binning is also introduced to supplement its invariance to translation. The experiment used an actual...
This paper propose a method to deal with the complex nonlinear characteristics, which was caused by the uncertainty of the unknown. As the received signal strength is low in Non line-of-sight environment, the proposed algorithm can be used to process and predict the unknown nodes position by maximum likelihood estimation method. Furthermore, experimental results show that the mobile target tracking...
To estimate multiple-input multiple-output (MIMO) channels, invariable step-size normalized least mean square (ISSNLMS) algorithm was applied to adaptive channel estimation (ACE). Since the MIMO channel is often described by sparse channel model due to broadband signal transmission, such sparsity can be exploited by adaptive sparse channel estimation (ASCE) methods using sparse ISS-NLMS algorithms...
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