Tracko: ad-hoc mobile 3D tracking using bluetooth low energy and inaudible signals for cross-device interaction

TY - GEN

T1 - Tracko

T2 - Annual ACM Symposium on User Interface Software & Technology 2015

AU - Jin, Haojian

AU - Holz, Christian

AU - Hornbæk, Kasper

N1 - Conference code: 28

PY - 2015/11/5

Y1 - 2015/11/5

N2 - While current mobile devices detect the presence of sur-rounding devices, they lack a truly spatial awareness to bring them into the user?s natural 3D space. We present Tracko, a 3D tracking system between two or more commodity devices without added components or device synchronization. Tracko achieves this by fusing three signal types. 1) Tracko infers the presence of and rough distance to other devices from the strength of Bluetooth low energy signals. 2) Tracko exchanges a series of inaudible stereo sounds and derives a set of accurate distances between devices from the difference in their arrival times. A Kalman filter integrates both signal cues to place collocated devices in a shared 3D space, com bining the robustness of Bluetooth with the accuracy of audio signals for relative 3D tracking. 3) Tracko incorporates inertial sensors to refine 3D estimates and support quick interactions. Tracko robustly tracks devices in 3D with a mean error of 6.5 cm within 0.5 m and a 15.3 cm error within 1 m, which validates Tracko?s suitability for cross-device interactions.

AB - While current mobile devices detect the presence of sur-rounding devices, they lack a truly spatial awareness to bring them into the user?s natural 3D space. We present Tracko, a 3D tracking system between two or more commodity devices without added components or device synchronization. Tracko achieves this by fusing three signal types. 1) Tracko infers the presence of and rough distance to other devices from the strength of Bluetooth low energy signals. 2) Tracko exchanges a series of inaudible stereo sounds and derives a set of accurate distances between devices from the difference in their arrival times. A Kalman filter integrates both signal cues to place collocated devices in a shared 3D space, com bining the robustness of Bluetooth with the accuracy of audio signals for relative 3D tracking. 3) Tracko incorporates inertial sensors to refine 3D estimates and support quick interactions. Tracko robustly tracks devices in 3D with a mean error of 6.5 cm within 0.5 m and a 15.3 cm error within 1 m, which validates Tracko?s suitability for cross-device interactions.

KW - input devices 38

KW - strategies, user interfaces

U2 - 10.1145/2807442.2807475

DO - 10.1145/2807442.2807475

M3 - Article in proceedings

SN - 978-1-4503-3779-3

SP - 147

EP - 156

BT - Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology

PB - Association for Computing Machinery

Y2 - 8 November 2015 through 11 November 2015

ER -