danielacraciun / pulser_suite Goto Github PK
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System for monitoring people with mobility issues, unmaintained
Dynamically fetched somehow (latest one generated?)
Use actual care receiver data for prediction
Right now hr has priority over movement data when sending for prediction and it should be reversed. Unit can predict based only on movement data with a null for heart rate (sparse column)
Right now the key is stored in a class on main project folder structure. Generating it at app init and moving it to a conf file is ideal. Also check for secret key in main web app before accepting any data.
DPU is an unnecessary intermediary and the minimal processing it does can be performed by the prediction unit. Remains in the repository for experiments exemplification.
Right now it only fetches sensor data and detects fall while the phone screen is on and the app is running. While this is OK for the use case, it would be ideal to run the service on a foreground thread.
No one knows what activity level 1 or heart rate 2 means
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