Wearable Camera Still Images Can Accurately Estimate Physical Activity Intensity
Mentor 1
Scott Strath
Start Date
28-4-2023 12:00 AM
Description
Background: Wearable camera (WC) technology can capture still images at varying capture rates for extended periods of time. WC images are accurate for estimating sitting, standing and some movement postures. Further research is needed to evaluate whether this measurement tool can estimate time spent in different physical activity intensity levels. Purpose: To determine if WC still images can provide valid estimations of time spent in sedentary, light, and moderate-vigorous intensity activity categories compared with criterion portable indirect calorimetry. Methods: Participants will be asked to complete two 1-hour at home visits in which they will be assigned a physical activity domain to complete. Domains include Household activities, Active Leisure activities, Inactive Leisure activities and Community activities. During the activities, participants will be fitted with the COSMED-K5 portable metabolic measurement system. A facemask will be placed over the nose and mouth. Each participant will be able to breathe in normal room air, with all expired gases being measured and analyzed for oxygen consumption, ventilation, and carbon dioxide production. Expired gas concentrations will provide measures of energy expenditure and physical activity intensity levels. Participants will also be outfitted with the BRINNO WC, that will record still images in 1-sec increments. Analysis: Criterion energy expenditure measured from the COSMED-K5 will be converted to metabolic equivalents (METs). COSMED K5 METs will then be collapsed into sedentary (<1.5 METs), light (1.5-2.99 METs), and moderate-to-vigorous (>3.0 METs) activity intensity categories. WC images will be annotated using an a priori developed coding schema. The WC schema will provide estimates of minute-by-minute time spent in sedentary, light, and moderate-to-vigorous activity intensity categories. For statistical analyses, a confusion matrix, statistical bias, and a percentage agreement between WC images and indirect calorimetry measurements will be conducted.
Wearable Camera Still Images Can Accurately Estimate Physical Activity Intensity
Background: Wearable camera (WC) technology can capture still images at varying capture rates for extended periods of time. WC images are accurate for estimating sitting, standing and some movement postures. Further research is needed to evaluate whether this measurement tool can estimate time spent in different physical activity intensity levels. Purpose: To determine if WC still images can provide valid estimations of time spent in sedentary, light, and moderate-vigorous intensity activity categories compared with criterion portable indirect calorimetry. Methods: Participants will be asked to complete two 1-hour at home visits in which they will be assigned a physical activity domain to complete. Domains include Household activities, Active Leisure activities, Inactive Leisure activities and Community activities. During the activities, participants will be fitted with the COSMED-K5 portable metabolic measurement system. A facemask will be placed over the nose and mouth. Each participant will be able to breathe in normal room air, with all expired gases being measured and analyzed for oxygen consumption, ventilation, and carbon dioxide production. Expired gas concentrations will provide measures of energy expenditure and physical activity intensity levels. Participants will also be outfitted with the BRINNO WC, that will record still images in 1-sec increments. Analysis: Criterion energy expenditure measured from the COSMED-K5 will be converted to metabolic equivalents (METs). COSMED K5 METs will then be collapsed into sedentary (<1.5 METs), light (1.5-2.99 METs), and moderate-to-vigorous (>3.0 METs) activity intensity categories. WC images will be annotated using an a priori developed coding schema. The WC schema will provide estimates of minute-by-minute time spent in sedentary, light, and moderate-to-vigorous activity intensity categories. For statistical analyses, a confusion matrix, statistical bias, and a percentage agreement between WC images and indirect calorimetry measurements will be conducted.
