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Showing 1–8 of 49 results

  • A Game-based Upper Limb AROM Measurement System for Older Adults


    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 measured by goniometer. This result means that the elderly can stretch better through a game in our measurement system. In order to encourage the elderly to participate more in the game, a questionnaire survey was conducted on the elderly’s views of the game. From the analysis results, we find that the merit factor and design factor of the game have a great impact on the players’ experience in the game. The research results provide us with ideas for the improvement of the measurement system in the

  • Model for Non-contact Blood Pressure Measurement Using the Facial Feature Amount based on Amplitude and Phase Analysis


    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.

  • Construction of an individual model for estimating blood pressure using independent components of facial skin temperature considering time variation


    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.  

  • Research on Gesture Based on GA – SVM


    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.

  • Effects of Daily Life Behavior with a Secondary Task on Performance and Psychophysiological States


    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.

  • Usability Evaluation of Main Function on Three Mobile Banking Application


    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, the three mobile banking have quite good usability although there are still several aspects that need to be improved.

    Keywords: ergonomics, usability, mobile banking, SUS, PSSUQ

  • An l1-l1-norm minimization solution using ADMM with FISTA


    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 l1l1-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)

  • Coefficient Constraint LIC with 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