Title :
Physical activity estimation method by using wireless portable sensor
Author_Institution :
Dept. of Electron. Eng. & Comput. Sci., Kinki Univ., Higashi-Hiroshima, Japan
Abstract :
In this study, an effective noncontact technique for the detection of human physical activity is proposed. The technique is based on detecting the electrostatic induction current generated by the walking motion under non-contact and non-attached conditions. A theoretical model for the electrostatic induction current generated because of a change in the electric potential of the human body is proposed. By comparing the obtained electrostatic induction current with the theoretical model, it becomes obvious that this model effectively explains the behavior of the waveform of the electrostatic induction current. The normal walking motions of daily living are recorded using a portable sensor measurement located in an ordinary house. The obtained results show that detailed information regarding physical activity such as a walking cycle can be estimated using our proposed technique. Additionally, the walking signal is measured when the subject walked with the ankle and knee of the foot fastened to a splint with bandages. This suggests that the proposed technique, which is based on the detection of the walking signal, can be successfully applied to the estimation of the quality of human walking motion.
Keywords :
asynchronous generators; biomechanics; biomedical equipment; electric potential; electrostatic generators; gait analysis; motion estimation; portable instruments; waveform analysis; wireless sensor networks; ankle; bandages; daily living; electric potential; electrostatic induction current generation; knee; nonattached condition; noncontact technique; ordinary house; physical activity estimation method; portable sensor measurement; walking motion estimation; walking signal measurement; waveform analysis; wireless portable sensor; Current measurement; Electrodes; Electrostatic induction; Floors; Foot; Humans; Legged locomotion;
Conference_Titel :
Sensors, 2012 IEEE
Conference_Location :
Taipei
Print_ISBN :
978-1-4577-1766-6
Electronic_ISBN :
1930-0395
DOI :
10.1109/ICSENS.2012.6411417