Multi-Person Motion Tracking via RF Body Reflections
Recently, we have witnessed the emergence of technologies that can localize a user and track her gestures based purely on radio reflections off the person's body. These technologies work even if the user is behind a wall or obstruction. However, for these technologies to be fully practical, the...
| Main Authors: | , , |
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| Other Authors: | |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/1721.1/86299 |
| _version_ | 1826216076058296320 |
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| author | Adib, Fadel Kabelac, Zachary Katabi, Dina |
| author2 | Dina Katabi |
| author_facet | Dina Katabi Adib, Fadel Kabelac, Zachary Katabi, Dina |
| author_sort | Adib, Fadel |
| collection | MIT |
| description | Recently, we have witnessed the emergence of technologies that can localize a user and track her gestures based purely on radio reflections off the person's body. These technologies work even if the user is behind a wall or obstruction. However, for these technologies to be fully practical, they need to address major challenges such as scaling to multiple people, accurately localizing them and tracking their gestures, and localizing static users as opposed to requiring the user to move to be detectable. This paper presents WiZ, the first multi-person centimeter-scale motion tracking system that pinpoints people's locations based purely on RF reflections off their bodies. WiZ can also locate static users by sensing minute changes in their RF reflections due to breathing. Further, it can track concurrent gestures made by different individuals, even when they carry no wireless device on them. We implement a prototype of WiZ and show that it can localize up to five users each with a median accuracy of 8-18 cm and 7-11 cm in the x and y dimensions respectively. WiZ can also detect 3D pointing gestures of multiple users with a median orientation error of 8 -16 degrees for each of them. Finally, WiZ can track breathing motion and output the breath count of multiple people with high accuracy. |
| first_indexed | 2024-09-23T16:41:55Z |
| id | mit-1721.1/86299 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:41:55Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | mit-1721.1/862992019-04-10T22:35:32Z Multi-Person Motion Tracking via RF Body Reflections Adib, Fadel Kabelac, Zachary Katabi, Dina Dina Katabi Networks & Mobile Systems Recently, we have witnessed the emergence of technologies that can localize a user and track her gestures based purely on radio reflections off the person's body. These technologies work even if the user is behind a wall or obstruction. However, for these technologies to be fully practical, they need to address major challenges such as scaling to multiple people, accurately localizing them and tracking their gestures, and localizing static users as opposed to requiring the user to move to be detectable. This paper presents WiZ, the first multi-person centimeter-scale motion tracking system that pinpoints people's locations based purely on RF reflections off their bodies. WiZ can also locate static users by sensing minute changes in their RF reflections due to breathing. Further, it can track concurrent gestures made by different individuals, even when they carry no wireless device on them. We implement a prototype of WiZ and show that it can localize up to five users each with a median accuracy of 8-18 cm and 7-11 cm in the x and y dimensions respectively. WiZ can also detect 3D pointing gestures of multiple users with a median orientation error of 8 -16 degrees for each of them. Finally, WiZ can track breathing motion and output the breath count of multiple people with high accuracy. 2014-04-28T18:30:06Z 2014-04-28T18:30:06Z 2014-04-26 2014-04-28T18:30:06Z http://hdl.handle.net/1721.1/86299 MIT-CSAIL-TR-2014-008 14 p. application/pdf |
| spellingShingle | Adib, Fadel Kabelac, Zachary Katabi, Dina Multi-Person Motion Tracking via RF Body Reflections |
| title | Multi-Person Motion Tracking via RF Body Reflections |
| title_full | Multi-Person Motion Tracking via RF Body Reflections |
| title_fullStr | Multi-Person Motion Tracking via RF Body Reflections |
| title_full_unstemmed | Multi-Person Motion Tracking via RF Body Reflections |
| title_short | Multi-Person Motion Tracking via RF Body Reflections |
| title_sort | multi person motion tracking via rf body reflections |
| url | http://hdl.handle.net/1721.1/86299 |
| work_keys_str_mv | AT adibfadel multipersonmotiontrackingviarfbodyreflections AT kabelaczachary multipersonmotiontrackingviarfbodyreflections AT katabidina multipersonmotiontrackingviarfbodyreflections |