Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi Signals

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/4598460/figures/4598460.fig.002a.svgz" name="4598460.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Reflection path of pair-A</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/4598460/figures/4598460.fig.002b.svgz" name="4598460.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Reflection path of pair-B</td></tr></table>

<div>For the Tx-Rx pairs placed vertically, the changes in the length of reflection path are unequal.</div>

Wireless Communications and Mobile Computing

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Figure 2

Figure 2: Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi Signals 