A simple method for walking posture analysis using accelerometers
Tri-axial accelerometer is a useful sensor. Most devices use it to detect the steps and human's activity. Some devices use it for digital spirit level meter. Since the first generation of iPhone was released on June 29, 2007, modern smart phones have built in accelerometers which promise to ena...
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Published in | 2016 International Conference On Communication Problem-Solving (ICCP) pp. 1 - 3 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2016
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Subjects | |
Online Access | Get full text |
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Abstract | Tri-axial accelerometer is a useful sensor. Most devices use it to detect the steps and human's activity. Some devices use it for digital spirit level meter. Since the first generation of iPhone was released on June 29, 2007, modern smart phones have built in accelerometers which promise to enable quantifying minute-by-minute what people do (e.g., walk or sit). However, smart phones are not suitable for detecting the walking posture. This paper uses wearable device with the tri-axial accelerometer to detect the patterns of the steps and situation of humpbacked to determine the walking postures which are divided into eight walking postures. Finally, we collect ten healthy subjects to develop our algorithm and test six healthy subjects. The proposed algorithm to determine the accurate rate of walking postures in comparison with the physiotherapist is 92.98%. |
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AbstractList | Tri-axial accelerometer is a useful sensor. Most devices use it to detect the steps and human's activity. Some devices use it for digital spirit level meter. Since the first generation of iPhone was released on June 29, 2007, modern smart phones have built in accelerometers which promise to enable quantifying minute-by-minute what people do (e.g., walk or sit). However, smart phones are not suitable for detecting the walking posture. This paper uses wearable device with the tri-axial accelerometer to detect the patterns of the steps and situation of humpbacked to determine the walking postures which are divided into eight walking postures. Finally, we collect ten healthy subjects to develop our algorithm and test six healthy subjects. The proposed algorithm to determine the accurate rate of walking postures in comparison with the physiotherapist is 92.98%. |
Author | Hirakawa, Koichi Yita Hsieh Jiann-Shing Shieh Jen Chien Chien Han Wen Guo |
Author_xml | – sequence: 1 surname: Jen Chien Chien fullname: Jen Chien Chien organization: Health & Beauty Res. Center Kinpo Inc., Taipei, Taiwan – sequence: 2 givenname: Koichi surname: Hirakawa fullname: Hirakawa, Koichi organization: Health & Beauty Res. Center Kinpo Inc., Taipei, Taiwan – sequence: 3 surname: Jiann-Shing Shieh fullname: Jiann-Shing Shieh organization: Dept. Mech. Eng., Yuan Ze Univ., Chungli, Taiwan – sequence: 4 surname: Han Wen Guo fullname: Han Wen Guo organization: Health & Beauty Res. Center Cal-Comp Inc., Taipei, Taiwan – sequence: 5 surname: Yita Hsieh fullname: Yita Hsieh organization: Health & Beauty Res. Center Cal-Comp Inc., Taipei, Taiwan |
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Snippet | Tri-axial accelerometer is a useful sensor. Most devices use it to detect the steps and human's activity. Some devices use it for digital spirit level meter.... |
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SubjectTerms | accelerometer Accelerometers Foot Legged locomotion Mathematical model Shape Smart phones Urban areas walking posture |
Title | A simple method for walking posture analysis using accelerometers |
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