| （英） |
This paper describes a study of human gait recognition using sensors in a smartphone. First, transformation between sensor coordinates and human coordinates is studied for human gait data acquisition from sensors in the smartphone. Next, data acquisition of human gait which includes walking, running and stair climbing is carried out using accelerometer and gyro in the smartphone, and the data is used for human gait modeling. Last, the human gait recognition using the model is examined, and it is shown that the average recognition rate is about 60%. In addition, it is shown that the performance of the human gait recognition can be improved by using user’s position information. |