Abstract: Methods and systems are described for real-time instruction and coaching using a virtual assistant for interaction with a user. Users may receive feedback inferences provided generally in real-time after collection of video samples from the user device. Neural network architectures and layers may be used to determine motion patterns and temporal aspects of the video samples, as well as detect activities of the foreground user despite background noise. The methods and systems may have various capabilities, including but not limited to live feedback on performed exercise activities, exercise scoring, calorie estimation, and repetition counting.

Abstract: A method for configuring a target spectrometry device using a reference spectrometry device. The method involves: acquiring spectral measurements for a set of reference samples with the reference spectrometer and storing the spectral measurements in a reference database; acquiring target spectral measurements for a sub-set of reference samples with the target spectrometer and storing the spectral measurements in a target database; determining an average spectrum for each reference sample from the reference and target spectral measurements; determining a series of spectra for each average spectrum, which includes determining an optical transfer function of the target spectrometer and applying the optical transfer function to each average spectrum measured by the reference spectrometer; and storing the average spectrum and series of spectra of each reference sample in the target database. The determining steps use a computing module. Also, a spectrometry device configured for the method.