mi

How to authenticate with Mi Band 3 in React Native

扶醉桌前 提交于 2021-01-28 04:57:48
问题 I have struggled for a few days to find a way to authenticate to my Mi Band 3 using React Native. I'm using react-native-ble-plx to make the connection. I can search for the nearby devices and I can even connect to the band, but when I try to call some service or characteristic, anything happens. Upon a few hours of searching, I realized that the problem might be the authentication, so I started looking for that, but I can't find anything. I found a question similar to this one, but the only

Official SDK/API for Mi and other smart Band

懵懂的女人 提交于 2021-01-21 03:53:40
问题 We want to develop an android application to support MiBand and Other Smart bands. We want to fetch information like Heart rate etc. from Smart Band via BLE and display it in a mobile application. I am not able to find any official SDK or API for it. If anyone can help then it would be great. Thanks in advance. 回答1: I found this but it's on Chinese: https://dev.mi.com/docs/micloud/health/ 回答2: There's also a huami tech GitHub repository which describes their API, You'll need to register your

FirebaseInstanceId: Error while delivering the message: ServiceIntent not found into MI devices

孤街醉人 提交于 2020-01-30 02:47:21
问题 This error we found when the application is in the background for a long time. This issue I found into Xaiomi devices. I tested into Samsung it's running perfectly but in Xaiomi, it always throwing the same error. 来源: https://stackoverflow.com/questions/58109753/firebaseinstanceid-error-while-delivering-the-message-serviceintent-not-found

Error when trying to use imputed data for sem using “mi” package

99封情书 提交于 2019-12-23 05:15:47
问题 I am trying to conduct a path model with my imputed data but I can't figure out how to get my code to work. A regular regression like this works fine with the pool function analysis <- pool(outcome1 ~ variable1 + variable2, data = imputations, m = NULL) But when I try to make it a path model it gives me errors. e.g., of code I've tried analysis <- pool(outcome1 + outcome2 ~ variable1 + variable2, data = imputations, m = NULL) Error in pool(outcome1 + outcome2 ~ variable1 + variable2, data =