Specifically, focusing on the ability to detect lower extremity movement, multiple studies have indicated that markerless motion capture can efficiently capture spatiotemporal joint kinematic variables (Clark et al., 2013 Sandau et al., 2014 Mentiplay et al., 2015 Rocha et al., 2018) with moderate-to-high agreement during tasks such as a single leg squat (Perrott et al., 2017 Kotsifaki et al., 2018 Tipton et al., 2019), vertical jump (Drazan et al., 2021), countermovement jump (Kotsifaki et al., 2018), stair climbing (Ogawa et al., 2017), walking (Ceseracciu et al., 2014 Sandau et al., 2014 Kanko et al., 2021 Pagnon et al., 2021 Stenum et al., 2021 Takeda et al., 2021 Vafadar et al., 2021), running (Corazza et al., 2006 Macpherson et al., 2016 Pagnon et al., 2021), gymnastics tasks (Corazza et al., 2006(Corazza et al.,, 2010Mündermann et al., 2007), and clinical evaluations (Eltoukhy et al., 2017 Mauntel et al., 2021). In such studies, markerless motion capture has shown great promise. This study supports the use of dual Kinect v2 configuration with the iPi software as a valid tool for assessment of sagittal and frontal plane hip and knee kinematic parameters but not axial rotation in athletes. Poor correlation was seen for the rotation movements. For peak angles, results showed excellent agreement for knee flexion. The tests were simultaneously recorded using both a marker-based motion capture system and two Kinect v2 cameras using iPi Mocap Studio software.Įxcellent agreement between systems for the flexion/extension range of motion of the shin during all tests and for the thigh abduction/adduction during SLS were seen. Three dimensional lower limb kinematics during three functional tests: Single Leg Squat (SLS), Single Leg Jump, Modified Counter-movement Jump. To determine whether a dual-camera markerless motion capture system can be used for lower limb kinematic evaluation in athletes in a preseason screening setting.

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