Biosensor Machine Learning with Julia- Matthijs Cox | PyData Eindhoven 2021

[danilo-bc]

https://www.youtube.com/watch?v=kLj0JQKhNMM

00:12 Self-introduction, bionsensors, data science 02:00 Use case of this presentation 02:44 Associated problems 03:19 Introduction to BrainFlow 04:36 Setup for data exploration in with BrainFlow and Julia 07:27 (Video) Visualizing my EMG data 07:58 Acquired signals and preliminary classification 08:40 DataFrames in Julia 09:36 Machine Learning frameworks in Julia 11:26 Model training pipeline 12:42 Why was Random Forest (RF) algorithm chosen 13:08 Simplified final application code 13:23 Answering a question from the audience about the training process 15:05 Live prediction flow 15:48 Live prediction setup 15:55 (Video) Live prediction demo 16:18 Actuation demo with a computer game 16:40 (Video) Live prediction demo with a game 17:08 How to contribute 18:00 Question 1 18:32 Answer 1 19:27 Q2 - Have you considered calling Julia from Python? 19:43 Answer 2 20:52 Question 3 21:15 Answer 3 21:25 Question 3.1 21:34 Answer 3.1 22:30 Q 4 - How well does it work with more users, and also switching to the other arm? 22:43 Answer 4 23:35 Q 4.1 - I saw in the video you're using your own right arm. You can also rotate the sensors and to get more data, right? 23:43 Answer 4.1 24:25 Q 5 - Does the precision of the positioning of the armband affect the results? 24:56 Answer 5 26:01 Outro

As an additional note, it would be good to add a space before the hifen after Julia.

[logankilpatrick]

Hey! This is great, can you add what the questions actually are in the timestamps?

[danilo-bc]

Hello! Some of them are inaudible because of audio issues, but I added summaries for the questions in the timestamps I was able to understand.