ABSTRACT
A user often needs training and guidance while performing several daily life procedures, e.g., cooking, setting up a new appliance, or doing a COVID test. Watch-based human activity recognition (HAR) can track users' actions during these procedures. However, out of the box, state-of-the-art HAR struggles from noisy data and less-expressive actions that are often part of daily life tasks. This paper proposes PrISM-Tracker, a procedure-tracking framework that augments existing HAR models with (1) graph-based procedure representation and (2) a user-interaction module to handle model uncertainty. Specifically, PrISM-Tracker extends a Viterbi algorithm to update state probabilities based on time-series HAR outputs by leveraging the graph representation that embeds time information as prior. Moreover, the model identifies moments or classes of uncertainty and asks the user for guidance to improve tracking accuracy. We tested PrISM-Tracker in two procedures: latte-making in an engineering lab study and wound care for skin cancer patients at a clinic. The results showed the effectiveness of the proposed algorithm utilizing transition graphs in tracking steps and the efficacy of using simulated human input to enhance performance. This work is the first step toward human-in-the-loop intelligent systems for guiding users while performing new and complicated procedural tasks. © 2023 Owner/Author.
ABSTRACT
The factors associated with the level of knowledge of the preventive measures of COVID-19 in pregnant and postpartum women from two Peruvian communities were determined. Quantitative, prospective, cross-sectional and analytical study. They worked with the entire population. The level of knowledge was measured through a previously validated instrument. Bivariate and multivariate analysis was performed, using linear regression with a 95% confidence interval. The results indicate that the majority (64.7%) considered the use of rubber gloves as a preventive measure, while 33.8% considered the use of homemade masks incorrect and considered that domestic animals transmitted COVID-19. In the multivariate analysis, the level of knowledge was associated with having received information from their health center. There is a good level of knowledge about COVID-19 prevention in pregnant and postpartum women from two Peruvian communities, and that the main associated factor is having received information from their Health Center.