In-Air Handwriting by Passive Gesture Tracking using Commodity WiFi

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Journal:IEEE Communication Letters

Abstract:Recent years have witnessed the great potential of adopting Channel State Information (CSI) for human-computer interaction by gestures. However, most current solutions either depend on specialized hardware or demand priori learning of wireless signal patterns, which face critical downsides in availability, reliability and extensibility. Hence this letter presents AirDraw, a novel learning-free in-air handwriting system by passive gesture tracking using only three commodity WiFi devices. First, we denoise CSI measurements by the ratio between two close-by antennas, and further separate the refl

Indexed by:Article

Document Type:J

Volume:24

Page Number:2652-2656

ISSN No.:1089-7798

Translation or Not:no

Included Journals:SCI