Discrimination between Upstairs and Downstairs Based on Accelerometer

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概要

• 論文の詳細を見る

• An algorithm for the discrimination between human upstairs and downstairs using a tri-axial accelerometer is presented in this paper, which consists of vertical acceleration calibration, extraction of two kinds of features (Interquartile Range and Wavelet Energy), effective feature subset selection with the wrapper approach, and SVM classification. The proposed algorithm can recognize upstairs and downstairs with 95.64% average accuracy for different sensor locations, i.e. located on the subjects waist belt, in the trousers pocket, and in the shirt pocket. Even for the mixed data from all sensor locations, the average recognition accuracy can reach 94.84%. Experimental results have successfully validated the effectiveness of the proposed method.

• （社）電子情報通信学会の論文
• 2011-06-01

著者

• Xue Yang

  South China University Of Technology

• JIN Lianwen

  South China University of Technology

関連論文

• Discrimination between Upstairs and Downstairs Based on Accelerometer
• Activity Recognition Based on an Accelerometer in a Smartphone Using an FFT-Based New Feature and Fusion Methods

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