Exploring dancer experience and performance with visual sensor camera using NUI environment

Abstract

Visual reality sensors with high resolution depth (RGB) can make the computer see things and provide interactive feedback like humans therefore providing opportunities to resolve elementary issues in computer vision (CV). In this paper we discussed a novel system that detects dance motion and analyzes the dancer's dancing steps using natural user interface (NUI) environment. Pre-recorded videos of a particular activity such as dance which are stored in a database are used to provide training to the users that are then compared and analyzed by the system providing feedback of the postures in real-time. The results of our pilot test on the design of the virtual analysis system that is capable of improving, providing timely feedback and reveals a strong motivation from users wanting to learn and enhance their dancing steps and postures of the particular selected dance. © 2018 IEEE.