Ratings & Reviews performance provides an overview of what users think of your app. Here are the key metrics to help you identify how your app is rated by users and how successful is your review management strategy.
This mobile application is built to help identify ergonomically unsafe actions. It uses artificial intelligence technology to detect human pose and uses Rapid Entire Body Assessment (REBA) to approximate the risk of developing an injury. REBA is a common method used in industry and it computes an index between 1 (lowest risk level) to 15 (highest risk level). REBA uses the joint angles we get from the detected pose and compares them with the corresponding safe range of motion. This app detects a single person on a screen and evaluates REBA for that person. Based on REBA it classifies the activities into “low risk”, “medium risk”, and “high risk” and it shows the skeleton green, yellow and red, correspondingly. Thanks to the Department of Labor & Industries for their support of this project.
