Discrimination between Upstairs and Downstairs Based on Accelerometer

作者：Xue Yang^*; Jin Lianwen

来源：IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2011, E94D(6): 1173-1177.

DOI：10.1587/transinf.E94.D.1173

• acceleration data
• vertical acceleration calibration
• feature selection
• activity recognition
• tri-axial accelerometer

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 subject's 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.

• 出版日期2011-6
• 单位华南理工大学