Jeffrey E. Boyd

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Substantial evidence supports a relationship between gait perception and gait synthesis. Furthermore, passive mechanical systems demonstrate that the jointed leg systems of humans have innate oscillations that form a gait. These observations suggest that systems may perceive gaits by synchronizing an internal oscillating model to observed oscillations. We(More)
In the perception of gaits, the relative timing of the individual motions in a gait is critical. When events occur periodically, as they do in a gait, then relative timing is equivalent to phase. Therefore, to perceive gaits requires frequency entrainment (finding the fundamental frequency of the gait) and phase locking (finding the phase relationships(More)
Medical imaging is shifting from film to electronic images. The STARE (structured analysis of the retina) system is a sophisticated image management system that will automatically diagnose images, compare images, measure key features in images, annotate image contents, and search for images similar in content. We concentrate on automated diagnosis. The(More)
Moving light displays (MLDs) have been used extensively to study motion perception and perception of the human gait in particular. MLD perception is largely considered to be structural, i.e., perception depends on identification of human kinematic structure. However, recent work by Little and Boyd has shown that it is possible to recognize individual(More)
Psychological studies indicate that people have a small but statistically significant ability to recognize the gaits of individuals that they know. Recently, there has been much interest in machine vision systems that can duplicate and improve upon this human ability for application to biometric identification. While gait has several attractive properties(More)
This paper describes <i>SwarmArt</i>, a collaborative project between computer science and art, which resulted in two installations of interactive art that incorporates swarm intelligence. We describe the scientific context of the artwork, technical details of the video system, through which user interaction is controlled, and the realization of the(More)
We describe an infrastructure for multiple perspective interactive video (MPI-Video) systems. An MPI-Video system assimilates data from multiple disparate sensors, allowing a user to interact with them in a meaningful way. At the heart of an MPI-Video system is an environment model (EM) that both assimilates data from multiple sensors and acts as an(More)