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Biometric measurements are now often routinely adopted as a robust means of determining individual identity. Such an approach is clearly beneficial in a variety of scenarios, including those relating to medical environments. In the medical context, however, the use of biometric data can potentially offer other valuable opportunities for harnessing the power of biometrics which have a more direct bearing...
Electrocardiogram (ECG) is a fundamental and important noninvasive cardiac signal. In current decade, it has been popular to acquire and analyze ECG by wearable devices with main purposes of long-term monitoring and potential cardiac event prediction. In this study, we aimed at developing a real time and accurate R peak detection method which may be useful for ECG analysis in the wearable devices...
For hyperspectral data classification, feature reduction techniques have become an apparent need to extract information from original data. In this paper, we introduce Locality Sensitive Discriminant Analysis (LSDA) to perform feature reduction for classification of hyperspectral imagery. By preserving both the discriminant and local geometrical structure in the data, the proposed method can obtain...
Forest stands are important forest management units for many forestry applications. Airborne Laser Scanning (ALS), also known as Light Detection and Ranging (LiDAR), provides abundant information on vertical structures of forests, and it is more stable than the conventional aerial or satellite spectral imaging in various conditions. In order to obtain accurate Forest Stand Delineations (FSD), a method...
Higher requirements of the placement of numerous instruments are necessary in Industry, Medical and Metering System. The device now available is of low efficiency and accuracy. In view of the problem, a new device was designed based on STM32, According to the feedback of the angle sensor, the PID closed-loop control algorithm was adopted. The stepper motor and reduction gearbox we reconnected by gears,...
Wireless Sensor Network as an important technology of Internet of things' development, is more and more widely used in various research fields. This paper mainly researches the part of localization application based on wireless sensor network, focuses on DV-Hop localization algorithm, and gives its algorithm simulation and analysis of the simulation results. Also this paper improves the algorithm...
In determining how Cranial Electrotherapy Stimulation(CES)can best be used as a therapeutic tool, it is important to research its stimulating effect with the administration of various CES waveform shapes and frequencies. To meet CES research needs, this paper focused on designing a CES system outputting waveforms of arbitrary shape and different frequencies. The result showed that CES researchers...
A method is proposed to distinguish patients with depression from healthy persons using data measured by Functional Near Infrared Spectroscopy (FNIRS) during a cognitive task. Firstly, General Linear Model (GLM) is used to extract features from 52-channel FNIRS data of patients with depression and normal healthy persons. Then a Support Vector Machine (SVM) classifier is designed for classification...
This paper presents a new license plate detection method based on the Canny edge detection and Sauvola binarization combine with Connected Components Analysis (CCA) and edge dilation. The proposed method was tested with 944 images in many different weather conditions and many different sizes of plates with only one configuration for all. We also build a ground-truth for each images and base on this...
Video of a classroom lecture has been shown to be a versatile learning resource comparable to a textbook. Captions in videos are highly valued by students, especially those with hearing disability and those whose first language is not English. Captioning by automatic speech recognition (ASR) tools is of limited use because of low and variable accuracy. Manual captioning with existing tools is a slow,...
GPS performs considerably well in the outdoor LoS conditions. However, its performance rapidly deteriorates when it is used in non-LoS indoor environments. This paper analyzes the performance of Wi-Fi based positioning in the outdoor environments. Our tests reveal that scene analysis can achieve high accuracies even in the outdoor setups. All observations reported in this work are based on experimental...
The challenge of designing an active video game that is an effective means by which to promote physical activity while at the same time is an engaging video game has been met with varied success. The key to overcoming this challenge is to approach design from the perspective that active video games are a unique combination of traditional video games and sports. By combining models of engagement —...
Predicting students' academic achievement with high accuracy has an important vital role in many academic disciplines. Most recent studies indicate the important role of the data type selection. They also attempt to understand individual students more deeply by analyzing questionnaire for a particular purpose. The present study uses free-style comments written by students after each lesson, to predict...
We propose a method for fair and accurate assessment of group work based on trust networks generated by mutual evaluations. Group work is often used for educational activities in universities since it is an effective way to acquire useful knowledge in a number of practical subjects. One drawback is the difficulty of deciding on final marks. Some students may work quite hard whereas others may rarely...
With the rise of computational social science, analyzing sociological problems using computational methods has attracted widespread attention. In recent years, sentiment analysis has become a research hotspot in computational social science. But existing researches concentrate on modern text, such as product reviews and microblogging, and hardly involve the analysis of ancient literature. In this...
Fingerprinting is the prevailing positioning method for location based service (LBS) and indoor positioning applications when compared with other methods such as cell of origin (CoO) and trilateration. It is especially more suitable for complicated indoor environments. However, higher positioning accuracy is still expected for it to match the capabilities of other mature techniques such as GPS. This...
Visual and near infrared (VIS-NIR) face image matching, which is also called cross-spectral face matching in heterogeneous face recognition, is important for security application. However, most existing methods perform poorly in this scenario because of the cross-modality appearance differences. To address this problem, we propose a new method named multi-feature based Multi-view Smooth Discriminant...
Nowadays, online credit card transactions has become a hot spot for frauds. The amount spent by a person using his credit card can vary and there is never a particular pattern of a person's expenses. Due to this characteristic of credit card use and its fraud, traditional algorithms cannot be implemented for credit card fraud detection. We required some trial and error methods which also gained experience...
The function of depth perception may be related to the ability to perform vergence eye movements during the viewing of three-dimensional stereoscopic movies.
Aim at the problems of low classification accuracy rate of the traditional single feature and the multi-features dimension disaster, a ensemble learning algorithm based on multi-features fusion and selection is proposed, and is used for polarimetric SAR image classification. Firstly, various features of SAR image is extracted and fused by normalized; then, different feature selection methods are used...
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