Hidden Markov model-based activity recognition for toddlers.

Objective: Physical activity has been shown to impact future health outcomes in adults, but little is known about the long-term impact of physical activity in toddlers. Accurately measuring the specific types and amounts of physical activity in toddlers will help us to understand, predict, and better affect their future health outcomes. Although activity recognition has been extensively developed for adults as well as older children, toddlers move in ways that are significantly different from older children, indicating the need for a more tailored approach.

Parental quality of life and self-efficacy in pediatric asthma.

Self-efficacy is the personal belief that a behavior can produce a desired result; and in asthma, self-efficacy in asthma care has been related to improvements in asthma outcomes and children's quality of life. To appreciate the full burden of asthma on families, the relationship between parental self-efficacy and quality of life also needs further study. We aim to characterize this relationship.

Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities.

Although accelerometry data are widely utilized to estimate physical activity and sedentary behavior among children age 3 years or older, for toddlers age 1 and 2 year(s), accelerometry data recorded during such behaviors have been far less examined. In particular, toddler's unique behaviors, such as riding in a stroller or being carried by an adult, have not yet been examined. The objective of this study was to describe accelerometry signal outputs recorded during participation in nine types of behaviors (i.