無線ＬＡＮにおける物理レイヤ情報を用いた室内位置決めと状況認識に関する研究
| Project/Area Number |
15J02703
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Single-year Grants |
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| Section | 国内 |
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| Research Field |
Information network
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| Research Institution | National Institute of Informatics (2016)
The Graduate University for Advanced Studies (2015) |
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Principal Investigator |
史 書瑜 国立情報学研究所, アーキテクチャ科学研究系, 特別研究員(PD)
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| Project Period (FY) |
2015-04-24 – 2017-03-31
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| Project Status |
Discontinued (Fiscal Year 2016)
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| Budget Amount *help |
¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2016: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2015: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | Context-awareness / Localization / Activity Recognition / indoor localization / device-free / CSI |
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| Outline of Annual Research Achievements |
In the past decade, research of context awareness has focused more deeply on studies of location awareness and activity recognition, since the two aspects are involved in a large number of practical applications, ranging from location-based services, medical care to social science. The recent decade, with the ubiquitous distribution of mobile device integrated with a suite of sensors including accelerometer, microphone, GPS, WiFi, camera, digital compass and gyroscope, the device can provide a variety of contexts, such as user’s physical location, activities and orientation, etc. However, despite the huge progress in this research area, there is still much more to be investigated. For instance, 1) most of existing solutions require wearing a device, then one could ask what can be done with the absence of such a device; and 2) the accuracy of RF-based indoor localization is constrained by the unpredictable characteristics of radio signals in indoor environments and hence needs to be improved.
In this dissertation, we design two novel context-aware systems that can address the problems like those described in the previous section and learn the useful human context information such as activities, locations attention and velocity. More specific, we first present a passive FM radio source based activity recognition system. Then, we propose an WiFi based indoor device-free positioning and tracking scheme using fine-grained Channel State Information (CSI) as source information.
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| Research Progress Status |
28年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
28年度が最終年度であるため、記入しない。
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Report
(2 results)
Research Products
(5 results)
