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Vibration-based terrain classification recognition using a six-axis accelerometer
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DOI：10.1016/j.compeleceng.2021.107556.png)
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摘要
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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 threedimensional 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.
Keyword:
Vibration
Terrain classification
Gabor atomic decomposition
Time-frequency analysis
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