Multiple classifier based walking pattern recognizing algorithm using acceleration signals

作者：Li Yue Xiang^*; Liu Yan; Yuan Tao; Wang Wen Jian

来源：Acta Electronica Sinica, 2009, 37(8): 1794-1798.

• Acceleration signals
• Discrete wavelet transformation
• Main frequency
• Multiple classifier
• Multiple classifiers
• Recognition accuracy
• Time frequency analysis
• Time frequency features
• Time-frequency feature
• Walking pattern
• Wavelet transformation

This paper presented the multiple classifier based walking pattern recognition algorithm, which could identify three walking patterns: horizontal walking, up and down staircase walking. Three-dimensional accelerations during walking were acquired from the wireless accelerometer device fixed on the back waist. The discrete wavelet transformation was applied for time-frequency analysis. The time-frequency features associated with the main frequency band of the motion, walking cadence and the correlation between the vertical and forward acceleration signals were combined to design a multiple classifier. A set of 360 gait samples involving 10 people were used for test, giving an overall recognition accuracy for 96.1% when the walking cadence range was within 1~3Hz, and this algorithm was less dependent on individuals.

• 出版日期2009
• 单位山西大学