Xiaochen Chen, Han He, L. Ukkonen, J. Virkki, J. Xu, T. Wang, L. Cheng
{"title":"Fabrication and Practical Evaluation of Glove-integrated Passive UHF RFID Tags","authors":"Xiaochen Chen, Han He, L. Ukkonen, J. Virkki, J. Xu, T. Wang, L. Cheng","doi":"10.1109/RFID-TA.2018.8552814","DOIUrl":"https://doi.org/10.1109/RFID-TA.2018.8552814","url":null,"abstract":"Passive RFID-based technology is a convincing approach to achieve versatile energy- and cost-efficient wireless platforms for future wearable applications. In this paper, we present passive UHF RFID tags integrated into normal work gloves for wearable RFID applications. We introduce embroidery as a new efficient antenna fabrication method for glove-integrated tags as well as establish reference glove-tag antennas from electro-textiles and copper tape. The performance of the three types of glove-tags is evaluated on a male test subject in an anechoic room and in an office environment. Based on the wireless measurement results, the read ranges of the embroidered glove-tags were around 1 meter in an anechoic chamber and in an office, when measured near the human body. These results meet the requirements of many practical applications of glove-tags, although the read ranges are shorter than those of the electro-textile and copper tape tags that showed read ranges of 2-2.5 meters. Finally, the developed glove-tags were successfully tested in actual use situations for identification and access control. These results are very promising, especially considering the cost effectiveness of embroidered tag antennas and the easiness of their integration into different types of gloves.","PeriodicalId":293800,"journal":{"name":"2018 IEEE International Conference on RFID Technology & Application (RFID-TA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124660688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Near Field Sources Localization Based on Robust Propagator Method","authors":"Sen Li, B. Lin, Bing Li, Rongxi He","doi":"10.1109/RFID-TA.2018.8552790","DOIUrl":"https://doi.org/10.1109/RFID-TA.2018.8552790","url":null,"abstract":"The problem of joint direction-of-arrival (DOA) and range estimation of near-field multiple sources under α- stable distributed impulsive noise environments is studied in this paper. The proposed algorithm constructs the MUSIC spectral spectrum based on the noise subspace which is obtained by applying the propagator method on the fractional lower order statistical matrix of the array received signal, and then estimates the multiple sources' DOA and range parameters by the spectral peak search. Compared with the corresponding algorithms based on second-order statistics, the proposed algorithm can effectively suppress the impulse noise by using the fractional lower-order statistics. At same time, the inherent large computational complexity of the eigenvalue decomposition based methods can also be avoided. Simulation experiments prove the effectiveness of the proposed algorithm.","PeriodicalId":293800,"journal":{"name":"2018 IEEE International Conference on RFID Technology & Application (RFID-TA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128583116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yongbin Sun, S. N. Kantareddy, R. Bhattacharyya, S. Sarma
{"title":"X-Vision: An Augmented Vision Tool with Real-Time Sensing Ability in Tagged Environments","authors":"Yongbin Sun, S. N. Kantareddy, R. Bhattacharyya, S. Sarma","doi":"10.1109/RFID-TA.2018.8552778","DOIUrl":"https://doi.org/10.1109/RFID-TA.2018.8552778","url":null,"abstract":"We present the concept of X-Vision, an enhanced Augmented Reality (AR)-based visualization tool, with the realtime sensing capability in a tagged environment. We envision that this type of a tool will enhance the user-environment interaction and improve the productivity in factories, smartspaces, home & office environments, maintenance/facility rooms and operation theatres, etc. In this paper, we describe the design of this visualization system built upon combining the object's pose information estimated by the depth camera and the object's ID & physical attributes captured by the RFID tags. We built a physical prototype of the system demonstrating the projection of 3D holograms of the objects encoded with sensed information like water-level and temperature of common office/household objects. The paper also discusses the quality metrics used to compare the pose estimation algorithms for robust reconstruction of the object's 3D data.","PeriodicalId":293800,"journal":{"name":"2018 IEEE International Conference on RFID Technology & Application (RFID-TA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115030218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}