Abstract: Systems and methods are described herein for improving walking or running performance in a variety of settings, including athletic training and physical therapy settings. Software programs comprising machine learning algorithms are employed with the objective of synthesizing real-time, actionable recommendations for performance improvement based on data inputs from a plurality of sensors incorporated into footwear. The recommendations may be visualized or heard during and after performance, either on a mobile computing device such as a smartphone or smartwatch or over a web interface on a home computer, and historical performance data may be incorporated into a personalized database for each user. The systems include real-time recommendations for changes in form and personalized coaching such as of athletes seeking to improve performance. The systems and methods described herein may also be employed for the purposes of injury prevention or rehabilitation in a medical setting.

Abstract: A system produces a standardized image of an object from an intermediate object recorded on film. An image of a spectrum of the light source illuminating the object is recorded on the film together with the image of the object. The image of the spectrum on the film is recorded by a film scanner and compared with the spectrum of a standatd illuminant. Color correction data is generated from the comparison. The color correction data may be used to control a photographic printer to produce a color corrected print. The color correction data may also be used to correct a digital image of the object produced by scanning the image of the object on film.

Abstract: A system for electronically recording a standardized color image of an object. The system incorporates a linear variable bandpass filter and a linear variable neutral density filter.