(IEEE, 2018) Kim, Youngwoo; Eyobu, Odongo Steven; Seog Han, Dong
Position awareness is a very important issue for
internet of thing (IoT) applications using smartphones. Pedestrian
dead reckoning (PDR) is one of the methods used to estimate a
user’s indoor position. The accuracy of a stride detection is very
important to guarantee the estimation accuracy of the user
location. This paper proposes an algorithm to detect the stride
using acceleration spectrogram feature by utilizing the
accelerometer in a smartphone. An artificial neural network
(ANN) technology is applied to detect the stride. The proposed
algorithm has an accuracy of 97.7% for stride detection.