Lately, non-invasive or minimal invasive motion capture approaches, like vision-based motion capture systems and angular measurement sensors have surfaced. These methods can be utilised for in-field kinematics data collection, minimally interfering with on-going work. However, there are definitely two sides of the coin for kinematic measurement due to adopted sensors and algorithms, an in-depth comprehension for each approach would aid in the decision in adaptation for usage. (Seo et al. 2017).
This measurement analysis tool can not only allow the sprinter and his coach to playback and view the movement executed, but they would in turn also be able to rectify what could have been done better are what is potentially lacking in the athlete’s training load and, thereby, work towards steps on improvement in training regime.