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Author: search.filters.author.Sinchai, SakkarinSubject: search.filters.subject.component

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    Human Identification Technique Based Behavioural Standing Still on Force Plates
    (2018-09-11)
    Sirisilpa, Pattraporn
    ;
    Sinchai, Sakkarin
    ;
    Wardkein, Paramote
    ;
    Sangpisit, Wipa
    This article proposes the human identification technique based behavioural standing still on force plates. Since the body sway that occurs during a quiet stand is caused by the movement of the center of mass and the center of pressure, thus the transfer of weight on the left and right feet of each person has a unique characteristic. This characteristic is then applied to identify individuals. In addition, the signals obtained from eyes open and eyes close condition are studied. The processing results are obtained by MATLAB program. The results of the proposed method show that the behavioural standing still signal in eyes open condition can be applied for human identification. However, the further study and improvement of the proposed principle is needed to acquire better in false rate of identification.
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    Distance Detection Technique Using Enhancing Inverse Perspective Mapping
    (2018-09-11)
    Wongsaree, Preaw
    ;
    Sinchai, Sakkarin
    ;
    Wardkein, Paramote
    ;
    Koseeyaporn, Jeerasuda
    This paper presents a distance determination technique using an image from the single forward camera. Since too dark or too bright of the image and non-linear relation between height of the object and distance from the camera have effect on the performance of the detection process. Therefore, automatic brightness adjustment and inverse perspective mapping (IMP) is applied in the proposed scheme. In addition, region of interest (ROI) determination is used to decrease the processing time. The experimental results confirm that the proposed technique can detect distance of the object in front of the car where the error is 7.96%.
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    Distance Measurement Technique Using Phase Difference of Two Reflected Ultrasonic Frequencies
    (2018-09-11)
    Chongchamsai, Munchuphon
    ;
    Sinchai, Sakkarin
    ;
    Wardkein, Paramote
    ;
    Boonjun, Surapol
    This paper proposes a simple method of distance measurement utilizing phase difference of two reflected ultrasonic frequencies. To obtain the phase difference, an alternating signal which contains two sinusoidal signals having different frequencies is fed to an ultrasonic transmitter. When the transmitted signal is reflected and received by the ultrasonic receiver, the received signal is first squared. Then, a time shift property of Fourier transform is applied to the squared signal to acquire the phase difference. The phase difference is converted to a time-of-flight (TOF) value and turned to the distance. To experiment the proposed technique, a DSP TMS620C6713 board is employed to generate the alternating signal as well as to receive the reflected signal, and to process the received signal. In the experiment, two sinusoidal signals having frequencies of 39.85 kHz and 40.6 kHz are used. The results show that the obtained distance by the presented approach has fairly low error only 0.15 centimeters compared to the actual distance.
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    Frequency Estimation of Short Range Radar Using Adaptive FIR Notch Filter and SAGC for Velocity Detection
    (2018-09-11)
    Chinakaew, Pannipa
    ;
    Sinchai, Sakkarin
    ;
    Wardkein, Paramote
    ;
    Koseeyaporn, Jeerasuda
    This research proposes the velocity detection for short range radar using an adaptive FIR notch filter and a sinusoidal automatic gain control scheme (SAGC). A HB 100 module with amplifying gain of 20 times produces Doppler signal and this signal is fed to a laptop through a sound card with sampling frequency of 8000 Hertz. The signal is processed by the SAGC to amplify the amplitude of the signal to be unity. To detect the frequency of the signal, an algorithm of indirect frequency estimation based on adaptive FIR notch filter is performed. After that, the resulting frequency is converted to velocity. All procedures in this work are processed by MATLAB program. The results of the proposed method have better signal to noise ratio compared with existing method. In addition, the presented work consumes low computational time.