Title :
Smart Footwear Feedback Interface Analysis and Design
Author :
Chih-Chun Ma;Shih-Yao Wei;Jung-Hsuan Lin
Author_Institution :
Inst. for Inf. Ind., Taipei, Taiwan
Abstract :
Human gait and posture have been considered one of the most important health indicators. Therefore, more and more smart footwear put stress on posture correction and gait analysis. In our research, we developed a smart footwear feedback interface to help user correct posture instantly. Furthermore, we designed multiple instinctive vibration modes specifically for correction information in order to avoid the attraction by noise in real world and also improve the accuracy for posture correction. We simulate an application scenario to verify the accuracy of vibration modes. The experiment result shows the vibration feedback interface that we design is easy to recognize. We reached 79% accuracy in average and it only needs 2.6 seconds to recognize.
Keywords :
"Vibrations","Foot","Footwear","Real-time systems","Legged locomotion","Knee","Visualization"
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2015 International Conference on
DOI :
10.1109/CSCI.2015.107