RFID Shakables: Pairing Radio-Frequency Identification Tags with the Help of Gesture Recognition

被引:14
|
作者
Kriara, Lito [1 ]
Alsup, Matthew [2 ]
Corbellini, Giorgio [1 ]
Trotter, Matthew [2 ]
Griffin, Joshua [2 ]
Mangold, Stefan [1 ]
机构
[1] Disney Res, Stampfenbachstr 48, CH-8006 Zurich, Switzerland
[2] Disney Res, 4720 Forbes Ave, Pittsburgh, PA 15213 USA
关键词
RFID; Gesture Recognition; Internet of Things; Association;
D O I
10.1145/2535372.2535404
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A novel approach for pairing RFID-enabled devices is introduced and evaluated in this work. Two or more devices are moved simultaneously through the radio field in close proximity of one or more RFID readers. Gesture recognition is applied to identify the movements of the devices, to mark them as a pair. This application is of interest for social networks and game applications in which play patterns with RFID-enabled toys are used to establish virtual friendships. In wireless networking, it can be used for user-friendly association of devices. The approach introduced here works with off-the-shelf passive RFID tags, as it is software-based and does not require hardware or protocol modifications. Every RFID reader constantly seeks for tags, thus, as soon as one tag is in its vicinity, the reader reports the presence of the tag. Such binary information is used to recognize the movement of tags and to pair them, if the gesture patterns match each other. We show via experimental evaluation that this feature can be easily implemented. We determine the required gesture interval duration and characteristics for accurate gesture and matching detection.
引用
收藏
页码:327 / 332
页数:6
相关论文
共 50 条
  • [41] Comparison of organic diode structures regarding high-frequency rectification behavior in radio-frequency identification tags
    Steudel, Soeren
    De Vusser, Stijn
    Myny, Kris
    Lenes, Martijn
    Genoe, Jan
    Heremans, Paul
    [J]. JOURNAL OF APPLIED PHYSICS, 2006, 99 (11)
  • [42] FEASIBILITY OF USING RADIO FREQUENCY IDENTIFICATION TAGS (RFID) FOR TRACKING PATIENT AND STAFF ACTIVITY IN HEALTHCARE
    Evans, J.
    Mansfield, N. J.
    Hignett, S.
    Zhao, Y.
    [J]. CONTEMPORARY ERGONOMICS AND HUMAN FACTORS 2011, 2011, : 495 - 501
  • [43] Comparison of organic diode structures regarding high-frequency rectification behavior in radio-frequency identification tags
    Steudel, Soeren
    De Vusser, Stijn
    Myny, Kris
    Lenes, Martijn
    Genoe, Jan
    Heremans, Paul
    [J]. Journal of Applied Physics, 2006, 99 (11):
  • [44] You Want to Do What with RFID? Perceptions of radio-frequency identification implants for employee identification in the workplace
    Michael, Katina
    Aloudat, Anas
    Michael, M. G.
    Perakslis, Christine
    [J]. IEEE CONSUMER ELECTRONICS MAGAZINE, 2017, 6 (03) : 111 - 117
  • [45] Near-Field Chipless Radio-Frequency Identification (RFID) Sensing and Identification System with Switching Reading
    Paredes, Ferran
    Herrojo, Cristian
    Mata-Contreras, Javier
    Moras, Miguel
    Nunez, Alba
    Ramon, Eloi
    Martin, Ferran
    [J]. SENSORS, 2018, 18 (04)
  • [46] Plastic circuits and tags for 13.56 MHz radio-frequency communication
    Myny, Kris
    Steudel, Soeren
    Vicca, Peter
    Beenhakkers, Monique J.
    van Aerle, Nick A. J. M.
    Gelinck, Gerwin H.
    Genoe, Jan
    Dehaene, Wim
    Heremans, Paul
    [J]. SOLID-STATE ELECTRONICS, 2009, 53 (12) : 1220 - 1226
  • [47] RADIO-FREQUENCY IDENTIFICATION GETS SMART
    SCHWIND, G
    [J]. MATERIAL HANDLING ENGINEERING, 1985, 40 (04): : 22 - 22
  • [48] RADIO-FREQUENCY IDENTIFICATION - A RUNDOWN ON THE BASICS
    不详
    [J]. MODERN MATERIALS HANDLING, 1985, 40 (07) : 76 - 77
  • [49] Dual Door Lock System Using Radio-Frequency Identification and Fingerprint Recognition
    Tshomo, Karma
    Tshering, Kencho
    Gyeltshen, Dorji
    Yeshi, Jigme
    Muramatsu, Kazuhiro
    [J]. 2019 IEEE 5TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2019,
  • [50] Multilevel Printed Wearable Radio-Frequency Intelligent Identification Platform for Object Recognition
    Ju, Lu
    Yu, Buyun
    Chen, Hao
    Xiao, Zhida
    Xiang, Wei
    Zhan, Junlin
    Zhang, Chao
    Liu, Zhenguo
    Tao, Li
    Lu, Weibing
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2024, 16 (37) : 49856 - 49867