I currently have collected Gyroscope/Accelerometer data (X/Y/Z) for my dissertation, but not very knowledgeable on how to process my data and apply Machine Learning?
Can anybody help?!
What do you want to do with your data?
What is your purpose from analysing the data?
What type of machine learning would you like to conduct?
Hi Kadhem Al-Daffaie ,
Thanks for your reply!
I essentially want to analyse each individual's Gait data so that any new test data that is analysed can be classified as the correct individual.
The purpose is to create an Identification system with Gait Data for my University Project.
Being new to Machine Learning I am still yet to decide which model would be best, supervised or unsupervised. I am leaning more towards supervised but having no experience in this area before is challenging as of right now!
I think you should work on classification (supervised learning). You also need to include normal subjects and abnormal subjects interms of their gait conditions.
You also need to try several models to decide which one best suits you data (this also would be good to your project to make some comparisons between models).
Finally, I suggest to try some of the deep learning techniques as they are newer, where machine learning has been applied alot.
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