Vibration-based Terrain Classification Recognition Using a Six-axis Accelerometer - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Computers and Electrical Engineering Année : 2021

Vibration-based Terrain Classification Recognition Using a Six-axis Accelerometer

Résumé

Aging is a key problem in our daily life which demands more technology such as the terrain classification recognition for the detailed path planning. In this article, a six-axis accelerometer was placed on the base of a walking stick to capture walking gait vibration information. The signal features in the collected information were used to reflect the terrain. We used a matching tracking method to decompose the signal data into linear combinations of Gabor atoms and a joint time-frequency analysis method to perform analysis on the topographic features in a three-dimensional space. Three types of terrains were classified from space-time data. Results show that the proposed algorithm could achieve an average accuracy rate of 88.6%, which is 4% higher than conventional methods.
Fichier principal
Vignette du fichier
paper_cane_liu.pdf (1.92 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04317498 , version 1 (01-12-2023)

Identifiants

Citer

Ruijun Liu, Zhang Bohua, Yu Zhuo, Han Zhiyuan, Wu Jingbang, et al.. Vibration-based Terrain Classification Recognition Using a Six-axis Accelerometer. Computers and Electrical Engineering, 2021, 96 (part B), ⟨10.1016/j.compeleceng.2021.107556⟩. ⟨hal-04317498⟩
7 Consultations
18 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More