Kaewjumras, Yongyut
Loading...
2 results
Now showing 1 - 2 of 2
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Personal Identification using the Distance and Triangle between the Metacarpophalangeal Joints(2022-01-01) ;Srathongkao, Siwa; ;Ngamsapmanee, Wanasanan; Sawangjit, NalitaPersonal identification using the distance among the metacarpophalangeal joints (MCPs) was presented in this study. The system was developed to specify the dorsal hand patterns. Firstly, the dorsal hand images were taken for the subjects via an infrared camera. Secondly, the dorsal hand images were converted to grayscale and binary images using image processing techniques. After that, the distance of the MCPs was measured by various the dorsal hand images including index to middle, middle to ring, ring to little, and index to little of the dorsal hand. In addition, the triangle areas between index to middle, middle to ring, ring to little, and index to little of the dorsal hand were used to specify the dorsal hand patterns. The result of the distance and the triangle area of the MCPS can be used to identify a person because of the difference of distance and the triangle area of the MCPs of each person. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimation of Vertical Jump Height using Capacitive Sensing Method(2023-01-01); ; ;Inboonma, Weerayut ;Sukprasertchai, SiwakornThis paper presents a low-cost vertical jump height measuring device based on the time-of-flight technique. A capacitive mat was developed and used as a sensing element to sense the athlete's feet. The capacitive mat was made from aluminum foils that dimensions of the capacitive mat ware with a width of 50.3 cm x length of 70.6 cm. The signal conditioning circuitry that was used as an analog front-end for measuring the capacitive was also described. The time difference between when athletes jumped off and reached the ground was calculated by a microcontroller. The jump height was recorded and stored via the computer. A total of 27 athletes, weighted between 48 kg to 115 kg were used as a sample. The testing results have shown that the proposed system has a percentage difference of 18.16%.
