A flexible motion tracking system based on inertial sensors
As a newly emerging human-computer interaction, motion tracking technology offers a way to extract human motion data. This paper presents a series of techniques to improve the flexibility of the motion tracking system based on the inertial measurement units (IMUs). First, we built a most miniatured...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201819804010 |
| _version_ | 1818942770805473280 |
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| author | Han Zhonghao Hu Lei Guo Na Yang Biao Liu Hongsheng Wang Yuhan |
| author_facet | Han Zhonghao Hu Lei Guo Na Yang Biao Liu Hongsheng Wang Yuhan |
| author_sort | Han Zhonghao |
| collection | DOAJ |
| description | As a newly emerging human-computer interaction, motion tracking technology offers a way to extract human motion data. This paper presents a series of techniques to improve the flexibility of the motion tracking system based on the inertial measurement units (IMUs). First, we built a most miniatured wireless tracking node by integrating an IMU, a Wi-Fi module and a power supply. Then, the data transfer rate was optimized using an asynchronous query method. Finally, to simplify the setup and make the interchangeability of all nodes possible, we designed a calibration procedure and trained a support vector machine (SVM) model to determine the binding relation between the body segments and the tracking nodes after setup. The evaluations of the whole system justify the effectiveness of proposed methods and demonstrate its advantages compared to other commercial motion tracking system. |
| first_indexed | 2024-12-20T07:16:43Z |
| format | Article |
| id | doaj.art-45240c892b974192ac78397aa8339253 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T07:16:43Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-45240c892b974192ac78397aa83392532022-12-21T19:48:46ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011980401010.1051/matecconf/201819804010matecconf_meae2018_04010A flexible motion tracking system based on inertial sensorsHan ZhonghaoHu LeiGuo NaYang BiaoLiu HongshengWang YuhanAs a newly emerging human-computer interaction, motion tracking technology offers a way to extract human motion data. This paper presents a series of techniques to improve the flexibility of the motion tracking system based on the inertial measurement units (IMUs). First, we built a most miniatured wireless tracking node by integrating an IMU, a Wi-Fi module and a power supply. Then, the data transfer rate was optimized using an asynchronous query method. Finally, to simplify the setup and make the interchangeability of all nodes possible, we designed a calibration procedure and trained a support vector machine (SVM) model to determine the binding relation between the body segments and the tracking nodes after setup. The evaluations of the whole system justify the effectiveness of proposed methods and demonstrate its advantages compared to other commercial motion tracking system.https://doi.org/10.1051/matecconf/201819804010 |
| spellingShingle | Han Zhonghao Hu Lei Guo Na Yang Biao Liu Hongsheng Wang Yuhan A flexible motion tracking system based on inertial sensors MATEC Web of Conferences |
| title | A flexible motion tracking system based on inertial sensors |
| title_full | A flexible motion tracking system based on inertial sensors |
| title_fullStr | A flexible motion tracking system based on inertial sensors |
| title_full_unstemmed | A flexible motion tracking system based on inertial sensors |
| title_short | A flexible motion tracking system based on inertial sensors |
| title_sort | flexible motion tracking system based on inertial sensors |
| url | https://doi.org/10.1051/matecconf/201819804010 |
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