Title :
Research on Classification of Human Daily Activities Based on a Single Tri-Axial Accelerometer
Author :
Wang, Feng ; Wang, Meiling ; Feng, Nan
Author_Institution :
Sch. of Biol. Sci. & Med. Eng., Southeast Univ., Nanjing, China
Abstract :
In this paper, a multi-layers method with multi-parameters based on the characteristics of the human movements acceleration signals is proposed to recognize the human daily activities. We calculate some features of the acceleration signals that are less dependent on the individuals. The features are successfully used to divide signals into different groups which are related to the human daily activities. Our experiments demonstrate the effectiveness of the proposed method, and the overall recognition accuracy is higher than 90%.
Keywords :
accelerometers; discrete wavelet transforms; medical signal processing; discrete wavelet transformation; human daily activities; human movements acceleration; multilayers method; single tri-axial accelerometer; Acceleration; Accelerometers; Accuracy; Classification algorithms; Heuristic algorithms; Humans; Legged locomotion; Accelerometer; Activity recognition; Hierarchical recognition; Step counting; the discrete wavelet transform;
Conference_Titel :
Complexity and Data Mining (IWCDM), 2011 First International Workshop on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-2007-9
DOI :
10.1109/IWCDM.2011.35
