hi, thank you very much for your video it is super interisting, i m student of eletronic, i am building a project that uses the same EMG sensors that you worked in that project, but i'm having some problems with its and i searching for arduino code soluctions, can u share your c++ arduino code for us or just for me, is your choose.
Hello! I am now working on the same project. I have just recently watched your video and noticed that your link to the files is not available anymore. Could you please share it again? I would it really appreciate that! Thank you in advance.
Hi, I believe a lot in these projects and I'm a boy who is studying university subjects without teachers.. could you kindly share the project again? I would very much like to proceed in my studies Thank you!
Hi nice work, I'm starting to work on a system to recognize different patterns, I've been testing your neural network and it gives me errors, could you help me please?
Wow that's an amazing project, thanks for sharing! Did you already do some upgrades, especially regarding the speed? Would love to see an update video And would also be very interesting to see a more detailed build of the armband. And why do you use both an arduino and raspery pi, why not do both on one device?
Hello sir, the very nice approach I would say, I am a mechatronic engineer in Germany, I wanted to get connected to you on Instagram, but it doesn't allow me to message. I wanted to know about the material you used in order to build up the EMG sensor. looking fwd for you response. good day !!
Hi thanks for the comment! I have changed the settings on my instagram for dms so if you could try it again, it will be awesome! I apologize for the inconvenience and I hope we can chat there for more infos!
Very nice, helpful in my assistive technology project! I've driven a wheelchair with emg but a simple threshold isn't accurate enough. So I have been thinking about AI. You're example is a great starting point. Do you have any ideas how you could speed it up? Why not running Tensorflow lite directly on Arduino or Raspberry pi?
Thank you for the comment! I am currently a high school junior and although I want to proceed on this project, I have college applications to do so am planning to brush it up after it is over. For TensorFlow lite, I didn’t have any experience with it so I just stick to what I already know.