Abstract: At present, the aging problem is becoming more and more serious, which undoubtedly causes people's attention to the life quality of the elderly. Active range of motion (AROM) is an important index to judge the ability of daily functional activities of the elderly. Therefore, it is very important to obtain the AROM data of the elderly quickly and accurately. The traditional method of measuring the range of motion (ROM) is to measure the passive range of motion (PROM) with a goniometer by nurses, which cannot accurately reflect the elderly’s active ability in the daily life. In order to overcome the shortcomings of traditional methods, the AROM measurement system has been developed. However, in the current AROM measurement system, the elderly is guided to several specific postures, ignoring the positive role of interest in stimulating the elderly to participate in ROM measurement. In this paper, we propose a game-based upper limb AROM measurement system. In the system, the joint coordinates of the player are measured by the depth image sensor, and the AROM is calculated automatically and objectively by using the coordinates. From the experimental results, the average flection value measured by our system is 21.6 degrees larger than that measured by the goniometer. The average abduction value measured by our system is 24.1 degrees larger than that m…
Abstract: To monitor the daily blood pressure, developing a non-contact method for measuring blood pressure is necessary. In a previous study, we proposed a novel method that described the vascular structure of an entire human face as an electric circuit based on amplitude and phase analyses using visible and thermal images of the face. However, the model developed by that method did not consider the order of blood flow because the model applied at random the extracted features. In the present study, it considers a model that incorporates the order of blood flow utilizing amplitude and phase analyses. As a result, the estimated accuracy is improved by considering the order of blood flow. Higher accuracy requires more detailed vascular structure information of the face. It concluded that the facial feature, which is related to the blood pressure, can be obtained by the CEOF analysis.
Abstract: The objective of this study was to construct an individual model for estimating blood pressure (BP) using independent components of facial skin temperature considering time variation. In our previous study, an individual model was constructed for estimating BP by applying independent component analysis to facial skin temperature of each subject. However, in this previous study, time variations in facial skin temperature were not considered. Facial skin temperature is assumed to be related to blood flow over time as blood helps in transporting heat in the body. Therefore, the accuracy of the BP estimation model can be expected to improve if the variation of facial skin temperature caused by blood flow over time considered in addition to only the facial skin temperature. Consequently, the accuracy of the proposed model with the aforementioned considerations was found to be better than that of without these considerations. Therefore, the BP was accurately estimated using the proposed approach.
Abstract: Surface electromyography (sEMG) is a kind of weak electrical signal generated by muscle activity, which contains information of gesture and is widely used in prosthetic control, rehabilitation and medical treatment. The difference between different motion patterns can be reflected by the different sEMG characteristics, so the recognition of human motion can be studied. Four time-domain features including absolute mean value, waveform length, zero-crossing number and root mean square value were extracted from the double Myo arm-ring data set in Ninapro benchmark database. Classification and identification were performed by using the Support Vector Machine (SVM) optimized by Genetic Algorithms (GA). Experimental results showed that the optimized SVM classification had a better effect.
Abstract: The objective of this study was to evaluate the effect of daily life behavior with a secondary task on performance and psychophysiological states. The experiments were based on two conditions: dishwashing (Control) only, and dishwashing while listening to favorite music (Favorite). In the present study, statistical evaluation was conducted to assess the performance and psychophysiological states between the Control and Favorite conditions. As a result, the electromyogram of the ulnar flexor muscle of the wrist in the dominant hand, which is a performance index, showed significant differences between the two conditions. The R-R Interval, which is the physiological index, showed no significant differences between the two conditions. Additionally, the impression of the feelings, which is the psychological index in the Favorite condition were higher than those in the Control condition. Therefore, it is suggested that there is a psychological change as a primary effect of listening to favorite music during daily life behavior, and the performance may be improved as a secondary effect of the psychological change. In conclusion, listening to favorite music decreased the mental fatigue, which is associated with the subjective feelings.
Abstract: E-banking or electronic banking is used to facilitate the bank customers when conducting financial transaction in easy and convinient way. As one of the e-banking form, Mobile banking (m-banking) is a banking service that allows its customers to conduct financial transactions in real time using mobile devices such as smartphones or tablets. Although there is an increasing number of mobile banking service users every year in Indonesia, the utilization of the actual mobile banking apps is still very low compared to other country in Asia. One of the problems that is often encountered by mobile banking’s customers is the aspect of trust that can be influenced by interface and usability of mobile banking applications. Therefore, in order to achieve effective interaction between human-computers with minimal effort, various aspects of usability need to be the main focus in developing an application to support the effectiveness of human-computer interaction so that the initial goal of creating mobile banking to facilitate customer banking transactions can be achieved. Using four criteria of usability mesurement set by ISO, this research aim to evaluate three m-banking application from the largest bank in Indonesia which are Mandiri Mobile, BNI Mobile, and BCA Mobile. Evaluation and analysis from this research shows that BNI Mobile has the best usability among the other two application. Overall,…
Abstract: This paper discusses compressed sensing which reconstructs original sparse signal from observed data. Our approach formulates the weighted sum of l1-norm error and l1-norm regularization terms, and applies Alternating Direction Method of Multipliers (ADMM) to solve it. Many works employ ADMM for the l1-l1-norm minimization problems, where ADMM obtains solutions in an iterative fashion for the problems formed as an augmented Lagrangian. The ADMM process is divided into three steps: an error minimization, a coefficient-norm minimization, and a dual variable update of an augmented Lagrangian. However, the coefficient-minimization step is not clear and replaced with an approximation. Our contribution is to adopt the Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) for the minimization step and achieves faster implementation than a conventional method.
Keywords: Compressed sensing; First Iterative Shrinkage-Thresholding Algorithm (FISTA); Alternating Direction Method of Multipliers (ADMM)
Abstract: Local Intensity Compensation (LIC) is an intra-frame motion compensation for video coding, and was a candidate for HEVC. LIC compensates a target block using motion vectors of reference blocks and linear coefficients of the blocks; thus, from a view point of data compression, not only compensation error but also the range of the motion vectors and coefficients should be as small as possible. Our previous work employs Alternating Direction Method of Multipliers (ADMM) to obtain reference blocks and their coefficients of LIC. This paper proposes to limit the range of coefficients, and experimental results tell us that the proposed method shows almost equivalent compensation accuracy to the conventional method.
Keywords: Convex Optimization; Alternating Direction Method of Multiply; norm regularization
Abstract: A portal into the public ledger cryptocurrency makes a competition of the best web sites and easily trusted by the public. These are believed to constitute a measurable dimensions of User Experience (UX). This study aims to evaluate the user experience of the use of the three web sites most frequently accessed cryptocurrency from Indonesia. The evaluation conducted aimed at knowing the factors that influence user trust through the design of the interface and can be installed on a new design. Methods include Performance Metrics, Post-Task Rating, Post-Session Rating, and Experiential Overview and eye-tracking device. Based on the results of research, in the overall evaluation of the web site, the web site is the most superior of Indodax. The results of the evaluation are then applied on a new design using the software Invision and examined again to see a comparison of the respondent at the time of first use. The result of the research is the assessment, recommendations, and design the look of the web site cryptocurrency are trustworthy based on user experience
Abstract: In this paper, we propose a control law in a linear active disturbance rejection control (LADRC) for removal of ramp disturbance. We use plant inverse characteristics as a control law. We calculate the steady-state error of the conventional method and that of the proposed method using the final-value theorem. In a conventional and a proposed LADRC, each plant output has no steady-state error when a step signal is assumed as a plant input-side disturbance. However, in a conventional LADRC, the plant output has a steady-state error when a ramp signal is assumed as a plant input-side disturbance. On the other hand, in a proposed method, the plant output has no steady-state error. In comparison with a conventional method, the proposed method has almost the same control performance for a plant with a modeling error.
Keywords: Active disturbance rejection control. Extended state observer. Steady-state error. Plant inverse characteristics.
Abstract: A Mobile Ad hoc Network is an aggregation of mobile terminal that form a volatile network with wireless interfaces. Mobile Ad Hoc Network has no central administration. MANET is more vulnerable to attacks than wired network, as there is no central management and no clear defense mechanism. Black Hole Attack is one of the attacks against network integrity in MANET. In this type of attack all data packets are absorbed by Black Hole node. There are lot of techniques to eliminate the black hole attack on AODV protocol in MANET. In this paper a solution named Black Hole Detection System is used for the detection of Black Hole attack on AODV protocol in MANET. The Black Hole Detection System considers the first route reply as the response from malicious node and deletes it, then the second one is chosen using the route reply saving mechanism as it comes from the destination node. We use NS-2.35 for the simulation and compare the result of AODV and BDS solution under Black Hole attack. The BDS solution against Black hole node has high packet delivery ratio as compared to the AODV protocol under Black hole attack and it’s about 46.7%.The solution minimize data loss, reduces the average Jitter by 5% and increases the Throughput.Keywords: MANET, AODV, blackholeAODV, bdsAODV
Abstract: Mental health care is one of the important challenges in our modern stressful society. The authors proposed a method for measuring mental health based on the quality of the patient’s voice, and implemented a system that monitors the state of mental health based on voice during a phone conversation via smartphone. However, there has been little consideration of the analysis of mental health using voices in a noisy environment thus far. Therefore, this study investigated the impact of noise on the mental health indicator based on vocal analysis. The results showed that the mental health level was judged to be low when the analyzed voice included noise. The study also revealed that a decreased precision in the detection of utterances had a significant impact on mental health analysis.
Keywords: Mental health care; noisy environment; vocal analysis
Abstract: In this paper, a new technique to measure daily human body motion without using cameras and video images is presented. The change in the electric potential of the human body that is caused by the daily performance induces an electrostatic induction current in the electrode placed at a distance of a few meters from the human body. Using this technology, I have developed an effective non-contact technique for the detection of human daily performance by detecting the change in this human-generated body charge. This technique based on the detection of an electrostatic induction current of the order of approximately sub-picoamperes flowing through an electrode that is placed at a distance of 5 m from the subject. It is shown that the characteristics of the individual are included in walking motion, sitting on a chair and retiring motion. This technique effectively explains the behavior of the waveform of the electrostatic induction current flowing through a given measurement electrode through a capacitance model of the human body.
Keywords: Daily performance, Electrostatic induction current, Non-contact measurement, Wavelet transform
Abstract: The k-Nearest Neighbor (k-NN) is very simple and powerful approach to conceptually approximate real-valued or discrete-valued target function. Many researchers have recently approved that K-NN is a high-prediction accuracy algorithm for a variety of real-world systems using many different types of datasets. However, as we know, k-NN is a type of lazy learning algorithms as it has to compare to each of stored training examples for each observed instance. Besides, the prediction accuracy of k-NN is under the influence of K values. Mostly, the higher K values make the algorithm yield lower prediction accuracy according to our experiments. For these issues, this paper focuses on two properties that are to upgrade the classification accuracy by introducing Regional Distance-based k-NN (RD-kNN) and to speed up the processing time performance of k-NN by applying multi-threading approach. For the experiments, we used the real data sets (wine, iris, heart stalog, breast cancer, and breast tissue) from UCI machine learning repository. According to our test cases and simulations carried out, it was also experimentally confirmed that the new approach, RD-kNN, has a better performance than classical kNN.
Keywords: k-NN, RD-kNN
Abstract: This paper attempts to develop a stress analysis method using short-term heart rate (HR) data obtained with wearable health devices. Evaluation method for stress analysis is very important for disease prevention and health promotion. Wearable health devices, such as smart phones and wristband fitness watches, are capable of measuring HR data using photoplethysmography technologies. In recent years, many new commodity devices have been issued and been used to obtain healthcare information, including HR data, in people's everyday life. However, since HR data of wearable devices are recorded with uneven and relatively long sampling intervals, which are constrained by their hardware issues, it is difficult to apply traditional spectral analysis methods for the HR data. The proposed method evaluates HR data using a non-linear technique, Poincaré plot. As the number of points in a plot is restricted by the limited sampling features of wearable devices, this paper applies two stress analysis indices that are based on complex correlation measures of time-varying characteristics in Poincaré plots. On the other hand, the proposed method can investigate dynamic changes in stress levels of short-term (e.g., one minute) analysis duration. Mental stress induction experiments were conducted with nine subjects to validate the proposed method.
Keywords: Stress analysis; Wearable health devices; Heart rate variability (HRV); Poincaré plot; Complex…