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Author: search.filters.author.Hatthasin, UpadyHas files: No

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    Assessment on a Talking Device of Weight and Height for the Visually Impaired Students
    (2018-12-01)
    Hatthasin, Upady
    ;
    Khongdeach, Thanakorn
    ;
    Kuntahong, Patchararudee
    ;
    Artharnsri, Arnuparb
    ;
    Premashthira, Nol
    This study is aimed to facilitate the measurement of weight and height with the body mass index detail for the visually impaired students. We created a digital measuring device that supports digital voice. We focused on reducing the cost and the material required in prototyping while maintaining the quality and accuracy of the device. To achieve this, we used a microprocessor and Ultrasonic sensors to measure the height and the Load Cells to measure weight. We used a digital screen to display the measured results. The users can press buttons, labelled in Braille, to listen to their height, weight, and BMI in Thai language. There are buttons, labelled in Braille, for listening to the measured result. The proposed device has been evaluated by 30 sighted and 15 visually impaired volunteers who extensively used the device and provided scores in five aspects: the speed of device is noticeable, Speech and result-values are consistent, accuracy of weighing, accuracy of measurement of elevation, and the device can work as intended. Assessment of the device received overall satisfactory scores, and due to its relatively low cost, is well-suited for individuals with low income.
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    An improvement of an RFID indoor positioning system using one base station
    (2009-01-01)
    Hatthasin, Upady
    ;
    Thainimit, Somying
    ;
    Vibhatavanij, Kemathat
    ;
    Premasathian, Nol
    ;
    Worasawate, Denchai
    The proliferation of mobile computing devices and wireless positioning networks has fostered a growing interest in location-aware systems and devices. Most technologies such as Radio Frequency IDentification (RFID), RADAR, etc, use at least three Base Station (BS) for calculating position of target objects. This paper describes an improvement of the previous OneBS algorithm [13]. The proposed system uses only one BS based on the RFID infrastructure for positioning target tags amid the clutter of indoor interference environments. We proposed to fuse the Round-trip Time of Flight (RTOF) and the Received Signal Strength (RSS) in the positioning algorithm. Both information are kept in an intersection Box (iBox). The RTOF information is used to focus a target tag's position among groups of four-nearestneighbor reference tags kept within iBox. Then, the RSS information is weighted using the weighted center of gravity technique to estimate a location of the target tags. Our experiments are based on Three Dimension (3D) materials within interference environments. The interference environments are simulated based on Uniform Geometrical Theory of Diffraction (UTD), for measuring signals in each specific area. Our proposed algorithm gains 50 percents better average distance error compared to the OneBS algorithm.