Show simple item record

dc.contributor.advisorDina Katabi
dc.contributor.authorAdib, Fadelen_US
dc.contributor.authorKabelac, Zacharyen_US
dc.contributor.authorKatabi, Dinaen_US
dc.contributor.otherNetworks & Mobile Systemsen
dc.date.accessioned2014-04-28T18:30:06Z
dc.date.available2014-04-28T18:30:06Z
dc.date.issued2014-04-26
dc.identifier.urihttp://hdl.handle.net/1721.1/86299
dc.description.abstractRecently, 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.en_US
dc.format.extent14 p.en_US
dc.relation.ispartofseriesMIT-CSAIL-TR-2014-008
dc.titleMulti-Person Motion Tracking via RF Body Reflectionsen_US
dc.date.updated2014-04-28T18:30:06Z


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record