News Finding: "Using this method, we achieved a huge improvement in metabolic performance for the wearers of a hip extension assistive device."
Paper Finding: In the discrete-time domain, Eq.
News Context: "This new method is an effective and fast way to optimize control parameter settings for assistive wearable devices," said Ye Ding, a postdoctoral fellow at SEAS and co-first author of the research. "Using this method, we achieved a huge improvement in metabolic performance for the wearers of a hip extension assistive device." "Finding the right control parameters for each wearer used to be a difficult, step-by-step process because not only do all humans walk a little differently but the experiments required to manually tune parameters are complicated and time-consuming"
  
  The researchers, led by Conor Walsh, the John L. Loeb Associate Professor of Engineering and Applied Sciences, and Scott Kuindersma, Assistant Professor of Engineering and Computer Science at SEAS, developed an algorithm that can cut through that variability and rapidly identify the best control parameters that work best for minimizing the of walking.
Paper Context: The mathematical representation in the frequency domain takes the form In the discrete-time domain, Eq. 1 can be written as