TY - GEN
T1 - Enabling gesture-based interactions with objects
AU - Shangguan, Longfei
AU - Zhou, Zimu
AU - Jamieson, Kyle
N1 - Funding Information:
We thank our shepherd Shyam Gollakota and the anonymous reviewers for their helpful feedback. This material is based upon work supported by the National Science Foundation under Grant No. 1617161.
Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/6/16
Y1 - 2017/6/16
N2 - Increasing numbers of everyday objects in libraries, stores and warehouses are instrumented with passive RFID tags, resulting in a ripe opportunity for gesture-based interactions with people. By a simple act of picking up and gesturing with an RFID-tagged object, users can send their opinions and sentiments about that object to the cloud. Prior work in RFID-based gesture tracking relies on multiple bulky and expensive antennas and readers to function, which incurs unacceptable infrastructure costs for large-scale ubiquitous deployment (over an entire warehouse or mall, for example) thus hindering practical adoption. In this paper, we propose Pantomime, the first RFID-based gesture recognition system that uses just a single antenna per geographical area of coverage. Our key insight is to replace the conventional multiple antenna single tag tracking framework with an equivalent multiple tag single antenna system. Through a novel tag coordination protocol and a lightweight tracking algorithm, Pantomime enables accurate gesture tracking that works for objects tagged with just two RFID tags. We implement a real-time prototype of Pantomime with commercial off-the-shelf (COTS) RFID readers and antennas. Extensive evaluations and real-world case studies in a classroom and a retail store demonstrate that Pantomime achieves comparable gesture tracking accuracy (87%) to state-of-the-art multi-antenna schemes (88%) at a minimal deployment cost.
AB - Increasing numbers of everyday objects in libraries, stores and warehouses are instrumented with passive RFID tags, resulting in a ripe opportunity for gesture-based interactions with people. By a simple act of picking up and gesturing with an RFID-tagged object, users can send their opinions and sentiments about that object to the cloud. Prior work in RFID-based gesture tracking relies on multiple bulky and expensive antennas and readers to function, which incurs unacceptable infrastructure costs for large-scale ubiquitous deployment (over an entire warehouse or mall, for example) thus hindering practical adoption. In this paper, we propose Pantomime, the first RFID-based gesture recognition system that uses just a single antenna per geographical area of coverage. Our key insight is to replace the conventional multiple antenna single tag tracking framework with an equivalent multiple tag single antenna system. Through a novel tag coordination protocol and a lightweight tracking algorithm, Pantomime enables accurate gesture tracking that works for objects tagged with just two RFID tags. We implement a real-time prototype of Pantomime with commercial off-the-shelf (COTS) RFID readers and antennas. Extensive evaluations and real-world case studies in a classroom and a retail store demonstrate that Pantomime achieves comparable gesture tracking accuracy (87%) to state-of-the-art multi-antenna schemes (88%) at a minimal deployment cost.
KW - Human-object interaction
KW - RFID
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=85026260318&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026260318&partnerID=8YFLogxK
U2 - 10.1145/3081333.3081364
DO - 10.1145/3081333.3081364
M3 - Conference contribution
AN - SCOPUS:85026260318
T3 - MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services
SP - 239
EP - 251
BT - MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services
PB - Association for Computing Machinery, Inc
T2 - 15th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2017
Y2 - 19 June 2017 through 23 June 2017
ER -