As sensor technology improves and Engineering fields draw closer to real-time measurements of critical user inputs, including metabolic biomarkers, we are faced with the challenge of how to employ this new information algorithmically. Currently, a large knowledge gap remains regarding the blending of multiple user signal inputs. Improving the performance of biomedical device control, even in the presence of challenging conditions and/or noisy, ambiguous sensory inputs from the user, is critical to enhancing an individual’s day-to-day independence.

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