14th February 2024 

Slides 📝 

• Introduction to acceleration data

Software used in class 💾 

Data used in class 💾 

• Acceleration data of Green turtles 🐢🌊

• Videos

Code exercises 🖥️ 

• Open, visualize and preprocess the acceleration data on python

• Visualise the data through the github :  https://github.com/sg4r/lodemo

Code solutions ☺️

• Open, visualize and preprocess the acceleration data on python. Will be released in due course. 

Quiz 💭 

Thursday morning in class. Will be released in due course.

Homework 🔎 

Try to write the script on colab to calculate :

• static acceleration : using an average sliding window with a window size of 2 seconds, you can play around with this value and try out different values.

• dynamic acceleration

• the Vedba based on the dynamic acceleration

Write a loop to preprocess all the files, the loop should contain :

• create extra column with the merged behaviors

• correct the pressure and calculate the difference of pressure

• calculate and add the descriptive variables : static/dynamic/vedba

for each file, your new dataset should contain 18 columns (accx, accy, accz, gyrx, gyry, gyrz, depth, beh, beh_merge, stx, sty, stz, dx, dy, dz, vedba, pressure_corrected, pressure_dif (the order doesn't matter)

Apply your code on all the files and save the files in numpy in a new folder. We will use these preprocessed files for lecture 2 for the algorithms !