An athlete’s performance is influenced by an array of facets which can be categorized into the wider
dimensions of biomechanical, physiological, and psychological factors. Particularly, biomechanical and
physiological factors encompassing of aspects such as High box jump and Low box jump impacts how an
athlete compensates and gains control of movement patterns or when a series of movements occur. Therefore,
the current research sought to provide an in-depth insight on biomechanical principles and measurement
techniques, whereby measurements were collected encompassing delays using Trigno wireless EMG systems at
1000 Hz. The Electromyography (EMG) was synchronized with force data through Vicon Nexus 2.7. Moreover,
Maximum Voluntary Contraction (MVC) was obtained for normalization of data and the entire EMG data was
appropriately filtered through the moving average window of 200 microseconds (ms). Thus, for the Low box
jump, the research comprised of 12 participants between the ages of 18 and 20 years with a mean MVC
percentage Peak Rectus Femoris EMG of 47.42 and a standard deviation (SD) of 10.56. The figures were
inclusive of the Ground Contact Phase whereby further in the Peak Biceps Femoris EMG of the Low box jump,
the mean %MVC stood at 44.58 and an SD of 10.89. Additionally, in the category of the Low box jump,
participant 12 demonstrated the least time to peak (0.125 ms) and participant 8 demonstrated the highest
(0.687). On a different note, for the High box jump the mean recorded Peak Rectus Femoris EMG and Peak
Biceps Femoris EMG held at 59.92 %MVC (at 8.04 SD) and 63.67 %MVC (at 5.55 SD) respectively. For the
former, participant 12 held the highest recorded %MVC at 71 and the lowest recorded at 48 from participant
10. Additional measurement of force in the study was collected by using the Type Z17068aa Kistler force
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