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.008a.svgz" name="4598460.fig.008a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Array size</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/4598460/figures/4598460.fig.008b.svgz" name="4598460.fig.008b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Segment length</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/4598460/figures/4598460.fig.008c.svgz" name="4598460.fig.008c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Layout of Tx-Rx pair</td></tr></table>

<div>Factors affecting the system performance. (a) Array size. (b) Segment length. (c) Layout of Tx-Rx pair.</div>

Wireless Communications and Mobile Computing

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Figure 8

Figure 8: Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi Signals 