| Title |
A Study on a Algorithm of Gait Analysis and Step Count with Pressure Sensors |
| Authors |
도주표(Do, Ju-pyo) ; 최대영(Choi, Dae-yeong) ; 김동준(Kim, Dong-jun) ; 김경호(Kim, Kyung-Ho) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.12.1810 |
| Keywords |
Pressure sensor ; Walking pattern ; Algorithm ; Posture ; Shoes ; Walking step count |
| Abstract |
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. |