Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/129379
Title: GRfid: A Device-Free RFID-Based Gesture Recognition System
Authors: Yongpan Zou;Jiang Xiao;Jinsong Han;Kaishun Wu;Yun Li;Lionel M. Ni
Year: 2017
Publisher: IEEE
Abstract: Gesture recognition has emerged recently as a promising application in our daily lives. Owing to low cost, prevalent availability, and structural simplicity, RFID shall become a popular technology for gesture recognition. However, the performance of existing RFID-based gesture recognition systems is constrained by unfavorable intrusiveness to users, requiring users to attach tags on their bodies. To overcome this, we propose GRfid, a novel device-free gesture recognition system based on phase information output by COTS RFID devices. Our work stems from the key insight that the RFID phase information is capable of capturing the spatial features of various gestures with low-cost commodity hardware. In GRfid, after data are collected by hardware, we process the data by a sequence of functional blocks, namely data preprocessing, gesture detection, profiles training, and gesture recognition, all of which are well-designed to achieve high performance in gesture recognition. We have implemented GRfid with a commercial RFID reader and multiple tags, and conducted extensive experiments in different scenarios to evaluate its performance. The results demonstrate that GRfid can achieve an average recognition accuracy of 96.5 and 92.8 percent in the identical-position and diverse-positions scenario, respectively. Moreover, experiment results show that GRfid is robust against environmental interference and tag orientations.
URI: http://localhost/handle/Hannan/129379
volume: 16
issue: 2
More Information: 381,
393
Appears in Collections:2017

Files in This Item:
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7445209.pdf1.36 MBAdobe PDF
Title: GRfid: A Device-Free RFID-Based Gesture Recognition System
Authors: Yongpan Zou;Jiang Xiao;Jinsong Han;Kaishun Wu;Yun Li;Lionel M. Ni
Year: 2017
Publisher: IEEE
Abstract: Gesture recognition has emerged recently as a promising application in our daily lives. Owing to low cost, prevalent availability, and structural simplicity, RFID shall become a popular technology for gesture recognition. However, the performance of existing RFID-based gesture recognition systems is constrained by unfavorable intrusiveness to users, requiring users to attach tags on their bodies. To overcome this, we propose GRfid, a novel device-free gesture recognition system based on phase information output by COTS RFID devices. Our work stems from the key insight that the RFID phase information is capable of capturing the spatial features of various gestures with low-cost commodity hardware. In GRfid, after data are collected by hardware, we process the data by a sequence of functional blocks, namely data preprocessing, gesture detection, profiles training, and gesture recognition, all of which are well-designed to achieve high performance in gesture recognition. We have implemented GRfid with a commercial RFID reader and multiple tags, and conducted extensive experiments in different scenarios to evaluate its performance. The results demonstrate that GRfid can achieve an average recognition accuracy of 96.5 and 92.8 percent in the identical-position and diverse-positions scenario, respectively. Moreover, experiment results show that GRfid is robust against environmental interference and tag orientations.
URI: http://localhost/handle/Hannan/129379
volume: 16
issue: 2
More Information: 381,
393
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7445209.pdf1.36 MBAdobe PDF
Title: GRfid: A Device-Free RFID-Based Gesture Recognition System
Authors: Yongpan Zou;Jiang Xiao;Jinsong Han;Kaishun Wu;Yun Li;Lionel M. Ni
Year: 2017
Publisher: IEEE
Abstract: Gesture recognition has emerged recently as a promising application in our daily lives. Owing to low cost, prevalent availability, and structural simplicity, RFID shall become a popular technology for gesture recognition. However, the performance of existing RFID-based gesture recognition systems is constrained by unfavorable intrusiveness to users, requiring users to attach tags on their bodies. To overcome this, we propose GRfid, a novel device-free gesture recognition system based on phase information output by COTS RFID devices. Our work stems from the key insight that the RFID phase information is capable of capturing the spatial features of various gestures with low-cost commodity hardware. In GRfid, after data are collected by hardware, we process the data by a sequence of functional blocks, namely data preprocessing, gesture detection, profiles training, and gesture recognition, all of which are well-designed to achieve high performance in gesture recognition. We have implemented GRfid with a commercial RFID reader and multiple tags, and conducted extensive experiments in different scenarios to evaluate its performance. The results demonstrate that GRfid can achieve an average recognition accuracy of 96.5 and 92.8 percent in the identical-position and diverse-positions scenario, respectively. Moreover, experiment results show that GRfid is robust against environmental interference and tag orientations.
URI: http://localhost/handle/Hannan/129379
volume: 16
issue: 2
More Information: 381,
393
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7445209.pdf1.36 MBAdobe PDF