http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
최대영(Dae-Yeong Choi),남현도(Hyun-Do Nam),김경호(Kyung-Ho Kim) 대한전기학회 2016 전기학회논문지 Vol.65 No.7
In this study, it measures electromyogram to estimate scoliosis by using sensors in both sides of spinal erector muscle. A device is measured raw data to input mcu through a filter and amplifier. MCU is named “arduino” that is calculated muscle activity with algorithm by inputting data. By comparing with both sides of spinal erector muscle’s activity, it studies about estimation of scoliosis
최대영(Dae-Yeong Choi),김경호(Kyung-Ho Kim) 대한전기학회 2016 전기학회논문지 Vol.65 No.4
In this study, In order to measure foot pressure, it makes analyzing device using multi-pressure sensor. This device was limited frequency band to 5Hz by using low-pass filter and MCU was detected signal every milliseconds. After wearing the device, the result was confirmed by blue-tooth to measure wirelessly. Also, we propose an algorithm to obtain the walking pattern using a time table in each of the detected peak from the pressure sensor. Using the algorithm, right walking pattern and abnormal pattern was detected. The results can be reflected more individual walking patterns than when using a conventional methods and also, developed device was no restriction on the human activity.
도주표(Ju-pyo Do),최대영(Dae-yeong Choi),김동준(Dong-jun Kim),김경호(Kyung-Ho Kim) 대한전기학회 2017 전기학회논문지 Vol.66 No.12
This paper develops an approach to the algorithm of Gait pattern Analysis and step measurement with Multi-Pressure Sensors. The process of gait consists of 8 steps including stance and swing phase. As 3 parts of foot is supporting most of human weight, multiple pressure sensors are attached on the parts of foot: forefoot, big toe, heel. As 3 parts of foot is supporting most of human weight, multiple pressure sensors are attached on the parts of foot: forefoot, big toe, heel. normal gait proceed from heel, forefoot and big toe over time. While normal gait proceeds, values of heel, forefoot and big toe can be changed over time. So Each values of pressure sensors over time could discriminate whether it is normal or abnormal gait. Measuring Device consists of non-inverting amplifiers and low pass filter. Through timetable of values, normal gait pattern can be analyzed, because of supported weight of foot. Also, the peak value of pressure can judge whether it is walking or running. While people are running, insole of shoes is floating in the air on moment. Using this algorithm, gait analysis and step count can be measured.