4.5.3. Participant Selection

Over half of the included records (19/36—52.8%) recruited participants with experience in rowing. Notable participant recruitments included Olympic and national level rowers [14,16,21,31,46]. It is desirable to recruit participants of a high level within the researched sport as it produces data of higher reproducibility due to the athlete completing biomechanical processes with correct form. Nevertheless, recruiting participants of di fferent levels can strengthen the robustness of machine learning algorithms, improving their accuracy for athletes and the general public. One record recruited novice rowers in order to create a machine learning algorithm which could decipher between experienced and unexperienced rowing techniques within the inertial sensor signals [22].
