CSI-based underground personnel behavior identification method
To solve the problem of personnel behavior identification under the condition of dust environment and shielding and to promote the coal mine safety production,a personnel identification method based on the Wi-Fi channel state information (CSI) was proposed.The system used Hampel filter and median fi...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2020-12-01
|
| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00202/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841531207147323392 |
|---|---|
| author | Lei ZHANG Yue ZHANG Mingxue LI Xinguo SHI Bo ZHAI Weilong WANG |
| author_facet | Lei ZHANG Yue ZHANG Mingxue LI Xinguo SHI Bo ZHAI Weilong WANG |
| author_sort | Lei ZHANG |
| collection | DOAJ |
| description | To solve the problem of personnel behavior identification under the condition of dust environment and shielding and to promote the coal mine safety production,a personnel identification method based on the Wi-Fi channel state information (CSI) was proposed.The system used Hampel filter and median filter to process the raw CSI data,and utilized the phase information through a linear correction method.The recognition process was divided into the offline stage and online stage.In the offline stage,different activities data was collected to establish the recognition model.While in the online stage,current actions were recognized according to the recognition model.8 different human activities were set in the experiments and the result indicated that the recognition accuracy of this system could reach 95%. |
| format | Article |
| id | doaj-art-dcd5db56190042408cf1d5fe99585d21 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2020-12-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-dcd5db56190042408cf1d5fe99585d212025-01-15T02:53:01ZzhoChina InfoCom Media Group物联网学报2096-37502020-12-014263159647168CSI-based underground personnel behavior identification methodLei ZHANGYue ZHANGMingxue LIXinguo SHIBo ZHAIWeilong WANGTo solve the problem of personnel behavior identification under the condition of dust environment and shielding and to promote the coal mine safety production,a personnel identification method based on the Wi-Fi channel state information (CSI) was proposed.The system used Hampel filter and median filter to process the raw CSI data,and utilized the phase information through a linear correction method.The recognition process was divided into the offline stage and online stage.In the offline stage,different activities data was collected to establish the recognition model.While in the online stage,current actions were recognized according to the recognition model.8 different human activities were set in the experiments and the result indicated that the recognition accuracy of this system could reach 95%.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00202/coal mine safetychannel state informationunderground personnel behavior identificationWi-Fiprincipal component analysis |
| spellingShingle | Lei ZHANG Yue ZHANG Mingxue LI Xinguo SHI Bo ZHAI Weilong WANG CSI-based underground personnel behavior identification method 物联网学报 coal mine safety channel state information underground personnel behavior identification Wi-Fi principal component analysis |
| title | CSI-based underground personnel behavior identification method |
| title_full | CSI-based underground personnel behavior identification method |
| title_fullStr | CSI-based underground personnel behavior identification method |
| title_full_unstemmed | CSI-based underground personnel behavior identification method |
| title_short | CSI-based underground personnel behavior identification method |
| title_sort | csi based underground personnel behavior identification method |
| topic | coal mine safety channel state information underground personnel behavior identification Wi-Fi principal component analysis |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00202/ |
| work_keys_str_mv | AT leizhang csibasedundergroundpersonnelbehavioridentificationmethod AT yuezhang csibasedundergroundpersonnelbehavioridentificationmethod AT mingxueli csibasedundergroundpersonnelbehavioridentificationmethod AT xinguoshi csibasedundergroundpersonnelbehavioridentificationmethod AT bozhai csibasedundergroundpersonnelbehavioridentificationmethod AT weilongwang csibasedundergroundpersonnelbehavioridentificationmethod |