Human motion state recognition based on smart phone built-in sensor
To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone directi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019057/ |
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| _version_ | 1841539346207866880 |
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| author | Xiaoling YIN Xiaojiang CHEN Qishou XIA Juan HE Pengyan ZHANG Feng CHEN |
| author_facet | Xiaoling YIN Xiaojiang CHEN Qishou XIA Juan HE Pengyan ZHANG Feng CHEN |
| author_sort | Xiaoling YIN |
| collection | DOAJ |
| description | To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%. |
| format | Article |
| id | doaj-art-513b41e6c27e4f40b2e3dccd286891df |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-513b41e6c27e4f40b2e3dccd286891df2025-01-14T07:16:35ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-03-014015716959725929Human motion state recognition based on smart phone built-in sensorXiaoling YINXiaojiang CHENQishou XIAJuan HEPengyan ZHANGFeng CHENTo solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019057/motion state recognitionhierarchical support vector machinesmart phone sensor,time domain feature |
| spellingShingle | Xiaoling YIN Xiaojiang CHEN Qishou XIA Juan HE Pengyan ZHANG Feng CHEN Human motion state recognition based on smart phone built-in sensor Tongxin xuebao motion state recognition hierarchical support vector machine smart phone sensor, time domain feature |
| title | Human motion state recognition based on smart phone built-in sensor |
| title_full | Human motion state recognition based on smart phone built-in sensor |
| title_fullStr | Human motion state recognition based on smart phone built-in sensor |
| title_full_unstemmed | Human motion state recognition based on smart phone built-in sensor |
| title_short | Human motion state recognition based on smart phone built-in sensor |
| title_sort | human motion state recognition based on smart phone built in sensor |
| topic | motion state recognition hierarchical support vector machine smart phone sensor, time domain feature |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019057/ |
| work_keys_str_mv | AT xiaolingyin humanmotionstaterecognitionbasedonsmartphonebuiltinsensor AT xiaojiangchen humanmotionstaterecognitionbasedonsmartphonebuiltinsensor AT qishouxia humanmotionstaterecognitionbasedonsmartphonebuiltinsensor AT juanhe humanmotionstaterecognitionbasedonsmartphonebuiltinsensor AT pengyanzhang humanmotionstaterecognitionbasedonsmartphonebuiltinsensor AT fengchen humanmotionstaterecognitionbasedonsmartphonebuiltinsensor |