Data analysis

Data isn't much good without analysis. There are several different ways of looking at data. As you can see from my workflow, python is my tool of choice for analysis. This allows us to analyze data from different types of sensors.

 

Dashboards are an excellent way to get an understanding of data. Then, a more formalized analysis can be formed. Below are examples of both dashboards and more structured analysis as well.

Sensor overview

Sensors simply sense the environment and take measurements that can be converted into an electrical signals. From what I've gathered, the primary sensors employed are gyroscopes for measuring vibrations and accelerometers for measuring impacts. All The sensors that we've looked at also have powerful onboard processors that convert raw sensor data immediately into metrics that can be understood by the user. Fruther processing then proceed on a smartphone app. 

Analysis ideas - click on pics!

HRM

HRM - Heart Rate Monitor

Typically wrist-worn, it senses pulse and provides an analog for VO2 max, which is the maximum amount of oxygen the heart can pump.

Zepp Universal

This is the original Zepp sensor. It is a univeral sensor that can be used for baseball, golf, and tennis. Attached to glove for golf and butt of racquet for tennis.

Babolat Pop

Babolat POP sensor

Wrist worn. Measures speed, style and effect of each shot.

 

Zepp2
Tennis

The 2nd generation Zepp sensor. (Tennis only)

Connects to butt of racquet. Measures speed, spin, and heaviness of each shot

Apple Watch

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