radar_gun_data

Data generated from known MSS and TAU and measurement error for N=5 athletes using radar gun
 with sampling frequency of 100Hz over 6 seconds.

datasets

Create short sprint acceleration-velocity (AVP) and force-velocity (FVP) profiles
and predict kinematic and kinetic variables using the timing-gate split times, laser or
radar gun data, tether devices data, as well as the data provided by the GPS and LPS
monitoring systems. The modeling method utilized in this package is based on the works of
Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>,
Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>,
Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>,
Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>,
Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>,
Samozino P. and Peyrot N., et al (2022) <doi: 10.1111/sms.14097>,
Clavel, P., et al (2023) <doi: 10.1016/j.jbiomech.2023.111602>,
Jovanovic M. (2023) <doi: 10.1080/10255842.2023.2170713>, and
Jovanovic M., et al (2024) <doi: 10.3390/s24092894>.

Mladen Jovanovic

shorts

Short Sprints

Mladen Jovanović

radar_gun_data function

Data frame with 4 variables and 3000 observations:<dl>
 <dt>athlete</dt>
<dd>Character string</dd> <dt>bodyweight</dt>
<dd>Bodyweight in kilograms</dd> <dt>time</dt>
<dd>Time reported by the radar gun in seconds</dd> <dt>velocity</dt>
<dd>Velocity reported by the radar gun in m/s</dd>
</dl>

Format

Radar Gun Data — radar_gun_data

Data frame with 4 variables and 3000 observations:<dl>
 <dt>athlete</dt>
<dd>Character string</dd>

 <dt>bodyweight</dt>
<dd>Bodyweight in kilograms</dd>

 <dt>time</dt>
<dd>Time reported by the radar gun in seconds</dd>

 <dt>velocity</dt>
<dd>Velocity reported by the radar gun in m/s</dd>


</dl>

radar_gun_data: Radar Gun Data

Description

Usage

Arguments

Format