.png){kind=icon}
返回
Locating Everyday Objects Using NFC Textiles
.png){kind=icon}
OA
AI
DOI：10.1145/3615450.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper builds a Near-Field Communication (NFC) based localization system that allows ordinary surfaces to locate surrounding objects with high accuracy in the near-field. While there is rich prior work on device-free localization using far-field wireless technologies, the near-field is less explored. Prior work in this space operates at extremely small ranges (a few centimeters), leading to designs that sense close proximity rather than location. We propose TextileSense, a near-field beamforming system that can track everyday objects made of conductive materials (for example, a human hand) even if they are a few tens of centimeters away. We use multiple flexible NFC coil antennas embedded in ordinary and irregularly shaped surfaces we interact with in smart environments-furniture, carpets, and so forth. We design and fabricate specialized textile coils woven into the fabric of the furniture and easily hidden by acrylic paint. We then develop a near-field blind beamforming algorithm to efficiently detect surrounding objects, and use a data-driven approach to further infer their location. A detailed experimental evaluation of TextileSense shows an average accuracy of 3.5 cm in tracking the location of objects of interest within a few tens of centimeters from the furniture.
期刊
IF:
12.2
论文数:
1.2W
被引数:
3.8W
机构
查看更多机构
引用论文
Radio Frequency Time-of-Flight Distance Measurement for Low-Cost Wireless Sensor Localization.png)
IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏Why Psychologists Should by Default Use Welch’s t-test Instead of Student’s t-test为什么心理学家应该默认使用韦尔奇的t检验而不是学生的t检验OAAI
OAAI分享收藏 没有更多内容