Closed wenh06 closed 4 years ago
Yes. Right now, that should happen in the remove_repeats function in utils.py. If you’re using the data for your own purposes, you want to sort by timestamp.
On Jan 2, 2020, at 8:31 PM, WEN Hao notifications@github.com wrote:
The first column'', which recorded the measured time, of these data has negative
diff
values. Should they be sorted by this column'' when using?— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/ojwalch/sleep_classifiers/issues/2?email_source=notifications&email_token=AB6WIZNUJGEEUSUNYMS53D3Q32IQLA5CNFSM4KCIQV7KYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IDZH62A, or unsubscribe https://github.com/notifications/unsubscribe-auth/AB6WIZN2NT72NMEL3JK74A3Q32IQLANCNFSM4KCIQV7A.
The dominant diff
in measured time is 20ms, so I guess the sampling frequency of the triaxial accelerometer of these apple watches are 50Hz. Most other values in diff
in measured time should have been affected by other tasks when using the watches, I believe. As for large gaps of time, either negative or positive, I guess the user synchronized time of its watch with some internet server? Or other possibilities?
The 50 Hz was set by me-- you can sample motion from the Apple Watch accelerometer at different rates (see the ojwalch/sleep_accel repo). Any gaps much larger than that were caused by issues on the server end with writing the data to file (acceleration was sent to the server in real time as it was collected), so you'll want to exclude those epochs from consideration.
On Thu, Jan 2, 2020 at 9:28 PM WEN Hao notifications@github.com wrote:
The dominant diff in measured time is 20ms, so I guess the sampling frequency of the triaxial accelerometer of these apple watches are 50Hz. Most other values in diff in measured time should have been affected by other tasks when using the watches, I believe. As for large gaps of time, either negative or positive, I guess the user synchronized time of its watch with some internet server? Or other possibilities?
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I suggest you leave two columns for time
, one measure_time
which means the time the value was measured, one create_time
which means the time the value was written into the database. You can gather data into one row, every n second(s). I hope that you can fetch the measure_time
directly from the apple watch, which should be created by the device itself. I hope this would help.
By the way, I named your dataset as sleep_accel
without knowing the existence of your sleep_accel
repository. You could consider making it the official short name of your dataset?
The time stamp is already measure_time: it’s the UNIX time corresponding to the acceleration sample, taken from the Apple Watch.
On Jan 3, 2020, at 1:03 AM, WEN Hao notifications@github.com wrote:
I suggest you leave two columns for time, one measure_time which means the time the value was measured, one create_time which means the time the value was written into the database. I hope that you can fetch the measure_time directly from the apple watch, which should be created by the device itself.
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The first ''column'', which recorded the measured time, of these data has negative
diff
values. Should they be sorted by this ''column'' when using?