Subject Identification Using a Depth Camera for Patient Ambulation Monitoring.

Our work identifies subjects based on their height and the distance between their joints. Using a depth sensing camera, we obtained the position of a person's joints in 3D space relative to each other. The distances between adjacent joints and height of a subject's head are used to create a vector of eight features for an individual to use for identification. Using modified KNN, full and partial feature sets were used to identify subjects. Additionally, our classifier can be utilized to assess ambulation (such as walking's velocity and distance) of subject, when identified.

An examination of jury verdicts for evidence of a similarity-leniency effect, an out-group punitiveness effect or a black sheep effect.

Archival data from cases adjudicated by jury in El Paso and Bexar County, Texas, were used to test whether a similarity-leniency effect, an out-group punitiveness effect, or a black sheep effect (BSE; J. M. Marques, V Y. Yzerbyt, & J. P. Leyens, 1988) influenced jury decisions. Defendant ethnicity, jury ethnic composition, and strength of evidence against the defendant were coded for 418 closed noncapital, felony cases to test their impact on trial verdicts and sentence lengths. Results indicated complex relations exist among juror and defendant characteristics and their influence on trial outcomes. No support was found for any of the theoretical models as predictors of jury decision-making. Strength of evidence was the most influential variable for both verdicts and length of sentences. Case strength, defendant ethnicity, and jury composition were related to sentence lengths.