Abstract: The present application relates generally to managing media. In some embodiments, time-coded skill performance event data is derived from end-user hardware including a plurality of Motion Sensor Units (MSUs), such as a MSU-enabled garment. Data derived from the MSUs is processed to identify performance events representative of specific predefined physical motion-based skills. This allows automated categorisation and/or identification of video data responsive to presence of particular skills that have been performed and captured.

Abstract: Described herein are systems and methods that make use of computer implemented technology to enable analysis of physically-performed skills, for example to enable training of a subject (such as a person, a group of persons, or in some cases groups of persons). In overview, described herein are techniques implemented to enable automated sensor-driven analysis of a physically performed skill (for example a golf swing, rowing stroke, gymnastic manoeuvre, or the like), thereby to determine attributes of the performance. These include detailed motion-based aspects of the performance, which are in some embodiments used to enable error identification and the delivery of training. Aspects relate to techniques whereby a physical skill is observed and analysed by human experts, through to technology for defining sensor data processing techniques which are configured to enable computer technology to perform corresponding observations to the human experts.