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Optimized Biosignals Processing Algorithms for New Designs of Human Machine Interfaces on Parallel Ultra-Low Power Architectures
2020
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This is followed by several case studies in the biomedical field, starting with the analysis of a Hand Gesture Recognition, based on the Hyperdimensional Computing algorithm, which allows performing a ...
fast on-chip re-training, and a comparison with the state-of-the-art Support Vector Machine (SVM); then a Brain Machine Interface (BCI) to detect the respond of the brain to a visual stimulus follows in ...
The amount of power used in sleep mode is 72 µW for the RTC and 3x4.5=13.5 µW for memory retention,which leads to a total power of 85.5 µW. ...
doi:10.6092/unibo/amsdottorato/9381
fatcat:kjpnbovoszbdvaipuakhzouzf4
Tuning the Computational Effort: An Adaptive Accuracy-aware Approach Across System Layers
2018
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The required tuning of the accuracy-aware methods is integrated into a configuration layer that tunes the available knobs of the accuracy-aware methods integrated into a system. ...
It proposes an adaptive accuracy-aware approach across system layers that addresses current challenges in that domain, combining and tuning accuracy-aware methods on different system layers. ...
Acknowledgments Doing a PhD is a long way full of ups and downs. It is not successfully viable without the great support of people and thus I want to express my heartfelt thanks to these people. ...
doi:10.5445/ir/1000085787
fatcat:d2aqtv6mmvh7jixw2crnrccmnu