Robust Sounds of Activities of Daily Living Classification in Two-Channel Audio-Based Telemonitoring

<table>Example SNR versus iteration number for the SNR steepest ascent method. Overshoot is detected at iteration 6, at which point the value of <svg height="12.175" id="M80" style="vertical-align:-3.56265pt" version="1.1" viewbox="0 0 9.5625 12.175" width="9.5625" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,7.675)"><path d="M538 96q-38 -45 -84 -76.5t-71 -31.5q-44 0 -15 117q12 49 18 89h-2q-99 -128 -163 -178q-36 -28 -70 -28q-26 0 -44 38h-2q-16 -69 -16 -129q0 -43 11 -75.5t24 -42.5l1 -6q-7 -12 -24.5 -23t-37.5 -11q-40 0 -40 76q0 52 35 202l94 407l78 24l5 -5q-32 -122 -72 -310
q-7 -33 0 -55t25 -22q36 0 105.5 75t107.5 145l32 146l75 26h10q-50 -197 -78 -347q-7 -38 6 -38q7 0 31 17t47 39z" id="x1D707"></path></g>
</svg> is decreased to minimise the likelihood of the algorithm overshooting again.</table>

International Journal of Telemedicine and Applications

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Figure 5

Figure 5: Robust Sounds of Activities of Daily Living Classification in Two-Channel Audio-Based Telemonitoring 