A Pedestrian Dead Reckoning Method for Head-Mounted Sensors
Pedestrian dead reckoning (PDR) plays an important role in modern life, including localisation and navigation if a Global Positioning System (GPS) is not available. Most previous PDR methods adopted foot-mounted sensors. However, humans have evolved to keep the head steady in space when the body is...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/21/6349 |
| _version_ | 1797548651749310464 |
|---|---|
| author | Xinyu Hou Jeroen Bergmann |
| author_facet | Xinyu Hou Jeroen Bergmann |
| author_sort | Xinyu Hou |
| collection | DOAJ |
| description | Pedestrian dead reckoning (PDR) plays an important role in modern life, including localisation and navigation if a Global Positioning System (GPS) is not available. Most previous PDR methods adopted foot-mounted sensors. However, humans have evolved to keep the head steady in space when the body is moving in order to stabilise the visual field. This indicates that sensors that are placed on the head might provide a more suitable alternative for real-world tracking. Emerging wearable technologies that are connected to the head also makes this a growing field of interest. Head-mounted equipment, such as glasses, are already ubiquitous in everyday life. Whilst other wearable gear, such as helmets, masks, or mouthguards, are becoming increasingly more common. Thus, an accurate PDR method that is specifically designed for head-mounted sensors is needed. It could have various applications in sports, emergency rescue, smart home, etc. In this paper, a new PDR method is introduced for head mounted sensors and compared to two established methods. The data were collected by sensors that were placed on glasses and embedded into a mouthguard. The results show that the newly proposed method outperforms the other two techniques in terms of accuracy, with the new method producing an average end-to-end error of 0.88 m and total distance error of 2.10%. |
| first_indexed | 2024-03-10T15:02:39Z |
| format | Article |
| id | doaj.art-fbe09fda57c745a6a3887c6bf39d71b1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:02:39Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fbe09fda57c745a6a3887c6bf39d71b12023-11-20T20:06:07ZengMDPI AGSensors1424-82202020-11-012021634910.3390/s20216349A Pedestrian Dead Reckoning Method for Head-Mounted SensorsXinyu Hou0Jeroen Bergmann1Natural Interactions Lab, Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX1 2JD, UKNatural Interactions Lab, Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX1 2JD, UKPedestrian dead reckoning (PDR) plays an important role in modern life, including localisation and navigation if a Global Positioning System (GPS) is not available. Most previous PDR methods adopted foot-mounted sensors. However, humans have evolved to keep the head steady in space when the body is moving in order to stabilise the visual field. This indicates that sensors that are placed on the head might provide a more suitable alternative for real-world tracking. Emerging wearable technologies that are connected to the head also makes this a growing field of interest. Head-mounted equipment, such as glasses, are already ubiquitous in everyday life. Whilst other wearable gear, such as helmets, masks, or mouthguards, are becoming increasingly more common. Thus, an accurate PDR method that is specifically designed for head-mounted sensors is needed. It could have various applications in sports, emergency rescue, smart home, etc. In this paper, a new PDR method is introduced for head mounted sensors and compared to two established methods. The data were collected by sensors that were placed on glasses and embedded into a mouthguard. The results show that the newly proposed method outperforms the other two techniques in terms of accuracy, with the new method producing an average end-to-end error of 0.88 m and total distance error of 2.10%.https://www.mdpi.com/1424-8220/20/21/6349inertial measurement unitnavigationsmart glasseswearable sensorsvirtual reality |
| spellingShingle | Xinyu Hou Jeroen Bergmann A Pedestrian Dead Reckoning Method for Head-Mounted Sensors Sensors inertial measurement unit navigation smart glasses wearable sensors virtual reality |
| title | A Pedestrian Dead Reckoning Method for Head-Mounted Sensors |
| title_full | A Pedestrian Dead Reckoning Method for Head-Mounted Sensors |
| title_fullStr | A Pedestrian Dead Reckoning Method for Head-Mounted Sensors |
| title_full_unstemmed | A Pedestrian Dead Reckoning Method for Head-Mounted Sensors |
| title_short | A Pedestrian Dead Reckoning Method for Head-Mounted Sensors |
| title_sort | pedestrian dead reckoning method for head mounted sensors |
| topic | inertial measurement unit navigation smart glasses wearable sensors virtual reality |
| url | https://www.mdpi.com/1424-8220/20/21/6349 |
| work_keys_str_mv | AT xinyuhou apedestriandeadreckoningmethodforheadmountedsensors AT jeroenbergmann apedestriandeadreckoningmethodforheadmountedsensors AT xinyuhou pedestriandeadreckoningmethodforheadmountedsensors AT jeroenbergmann pedestriandeadreckoningmethodforheadmountedsensors |