SkinTrack

Yang Zhang, Junhan Zhou, Gierad Laput, Chris Harrison
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4obeqfuqs5gzbos5ah64a7m57a" style="color: black;">Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI &#39;16</a> </i> &nbsp;
SkinTrack is a wearable system that enables continuous touch tracking on the skin. It consists of a ring, which emits a continuous high frequency AC signal, and a sensing wristband with multiple electrodes. Due to the phase delay inherent in a high-frequency AC signal propagating through the body, a phase difference can be observed between pairs of electrodes. SkinTrack measures these phase differences to compute a 2D finger touch coordinate. Our approach can segment touch events at 99%
more &raquo; ... , and resolve the 2D location of touches with a mean error of 7.6mm. As our approach is compact, non-invasive, low-cost and lowpowered, we envision the technology being integrated into future smartwatches, supporting rich touch interactions beyond the confines of the small touchscreen.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2858036.2858082">doi:10.1145/2858036.2858082</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/chi/ZhangZLH16.html">dblp:conf/chi/ZhangZLH16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2s6rxyfmcba7jil7kjpyu7e3aa">fatcat:2s6rxyfmcba7jil7kjpyu7e3aa</a> </span>
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