Title :
Motion based adaptive step length estimation using smartphone
Author :
Jung Ho Lee ; Beomju Shin ; Seok Lee Jae Hun Kim ; Chulki Kim ; Taikjin Lee ; Jinwoo Park
Author_Institution :
Sensor Syst. Res. Center, Korea Inst. of Sci. & Technol., Seoul, South Korea
Abstract :
This paper presents a motion recognition based step length estimation algorithm using smartphone. Motion of a user is identified based on the hybrid model of Decision Tree (DT), Artificial Neural Network (ANN) and Support Vector Machine (SVM). The parameters of linear combination based step length model are adapted based on the result motion recognition. In order to verify the proposed algorithm, we performed experiments on 5 subjects and showed accuracy of step length estimation as RMSE.
Keywords :
image motion analysis; image recognition; neural nets; smart phones; support vector machines; artificial neural network; decision tree; motion based adaptive step length estimation; motion recognition; smart phone; step length estimation algorithm; support vector machine; Acceleration; Accelerometers; Artificial neural networks; Estimation; Legged locomotion; Medical services; Support vector machines; healthcare; motion; navigation; smartphone; step length;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884456
