MOVEMENT 6
REACTION VARIABLES
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We want to know how quick an athlete can react, or not react, based on different visual cues.
Using colored lights with specific meanings (green for go, red for stop, etc.), we are able to identify deficiencies and tendencies of athletes.
We are currently utilizing the technology from the company Blazepod to objectively quantify these findings.
MOVEMENT 7
RUNNING VARIABLES
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We want to know how well an athlete can run, and redirect, based on different weighted equipment.
Using a laser gate system, we are able to identify individual tendencies with athletes.
We are currently utilizing the technology from the company Dashr to objectively quantify these findings.
MOVEMENT 8
REDIRECTING VARIABLES
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We want to know how well an athlete can run, and redirect, based on different weighted equipment.
Using a laser gate system, we are able to identify individual tendencies with athletes.
We are currently utilizing the technology from the company Dashr to objectively quantify these findings.
MOVEMENT 9
JUMPING VARIABLES
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We want to know how well an athlete jumps, based on different surface areas.
Using wearable sensors that capture impact stress, we are able to identify individual tendencies with athletes.
We are currently utilizing the technology from the company Vert (http://www.myvert.com) to objectively quantify these findings.
MOVEMENT 10
LANDING VARIABLES
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We want to know how well an athlete lands, based on different surface areas.
Using wearable sensors that capture impact stress, we are able to identify individual tendencies with athletes.
We are currently utilizing the technology from the company Vert to objectively quantify these findings.
