Development of a human gesture dataset using 802.11ax WiFi CSI
This study explores the capturing of WiFi Channel State Information (CSI) using the AX-CSI tool and constructs a unique dataset comprising hand-drawn numerical gestures. High-quality CSI data are captured from 802.11ax WiFi signals using this tool, and the gestures are accurately classified through...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/177796 |
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Institution: | Nanyang Technological University |
Language: | English |