2018 IEEE SmartWorld, Ubiquitous Intelligence &Amp; Computing, Advanced &Amp; Trusted Computing, Scalable Computing &Amp; Commu 2018
DOI: 10.1109/smartworld.2018.00122
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Wi-Fi Based Gesture Recognition Using Deep Transfer Learning

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Cited by 15 publications
(9 citation statements)
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“…Currently, we can take some measures to mitigate the effect of different test environments. Development of a universal framework to tackle this problem seems to be a potential approach [8], [22], [138], [141], [147], [150], [161], [187], [188]. Keeping robust and available for many scenarios is a fundamental problem for behavior recognition using CSI and can be solved in further research.…”
Section: F Robustnessmentioning
confidence: 99%
“…Currently, we can take some measures to mitigate the effect of different test environments. Development of a universal framework to tackle this problem seems to be a potential approach [8], [22], [138], [141], [147], [150], [161], [187], [188]. Keeping robust and available for many scenarios is a fundamental problem for behavior recognition using CSI and can be solved in further research.…”
Section: F Robustnessmentioning
confidence: 99%
“…These were converted to images and classified using a CNN for localization. A combination between CNNs and CSI can be found in the papers of Tang et al [21] and Bu et al [1]. However, there is a main difference between both.…”
Section: Related Workmentioning
confidence: 99%
“…Therefore, research often looks into applying remote sensing in this field. It has been shown that indoor localization [6,16,18], measuring physiological signals [11,13,17,20], human identification [2,12], and general human activity recognition/gesture detection [1,7,21,22] are achievable by using CSI. The performances of such systems is comparable to the existing wearable wireless sensor systems.…”
Section: Introductionmentioning
confidence: 99%
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