Generating Human-Like Velocity-Adapted Jumping Gait from sEMG Signals for Bionic Leg’s Control

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2017/7360953/figures/7360953.fig.003a.svgz" name="7360953.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Maximum hip compression angles</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2017/7360953/figures/7360953.fig.003b.svgz" name="7360953.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Maximum knee compression angles</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2017/7360953/figures/7360953.fig.003c.svgz" name="7360953.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Maximum ankle compression angles</td></tr></table>

<div>Maximum joint compression angles change along with jumping rhythm.</div>

Journal of Sensors

fig3

Figure 3

Figure 3: Generating Human-Like Velocity-Adapted Jumping Gait from sEMG Signals for Bionic Leg’s Control 