{"action":"opened","issue":{"url":"https://api.github.com/repos/Giguelingueling/MyoArmbandDataset/issues/4","repository_url":"https://api.github.com/repos/Giguelingueling/MyoArmbandDataset","labels_url":"https://api.github.com/repos/Giguelingueling/MyoArmbandDataset/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/Giguelingueling/MyoArmbandDataset/issues/4/comments","events_url":"https://api.github.com/repos/Giguelingueling/MyoArmbandDataset/issues/4/events","html_url":"https://github.com/Giguelingueling/MyoArmbandDataset/issues/4","id":385224857,"node_id":"MDU6SXNzdWUzODUyMjQ4NTc=","number":4,"title":"How to realize smooth control of robotic arm using the output of the Neural Network in real-time?","user":{"login":"wangwuqi","id":22237278,"node_id":"MDQ6VXNlcjIyMjM3Mjc4","avatar_url":"https://avatars3.githubusercontent.com/u/22237278?v=4","gravatar_id":"","url":"https://api.github.com/users/wangwuqi","html_url":"https://github.com/wangwuqi","followers_url":"https://api.github.com/users/wangwuqi/followers","following_url":"https://api.github.com/users/wangwuqi/following{/other_user}","gists_url":"https://api.github.com/users/wangwuqi/gists{/gist_id}","starred_url":"https://api.github.com/users/wangwuqi/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wangwuqi/subscriptions","organizations_url":"https://api.github.com/users/wangwuqi/orgs","repos_url":"https://api.github.com/users/wangwuqi/repos","events_url":"https://api.github.com/users/wangwuqi/events{/privacy}","received_events_url":"https://api.github.com/users/wangwuqi/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-11-28T11:31:30Z","updated_at":"2018-11-28T11:31:30Z","closed_at":null,"author_association":"NONE","body":"I have seen your [video](https://www.youtube.com/watch?v=t6-5qrLHtLE) on Youtube, it's really fantastic. I also do some work with Myo, and use it to control a Raspberry Pi car. The network works well on offline data, but when conduct real-time recognition, how to realize a smooth control with the decrete NN's output?"}}
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