Timeline for What's the point of time series analysis?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Sep 20, 2018 at 11:01 | comment | added | Nicole Origami Fox | Thank you SaiBot. I see, I have to consider the combination of different tools more often :) | |
| Sep 20, 2018 at 10:20 | comment | added | SaiBot | I think there are many different ways. One way would be to let users generate training data by labeling their activity. Once you have that you could cut your timeseries in (overlapping) intervals (e.g., 3 seconds) and train a machine learning model. Afterwards you would be able to classify unlabeled activities. | |
| Sep 20, 2018 at 8:49 | comment | added | Nicole Origami Fox | That's interesting! How do you do this? | |
| Sep 20, 2018 at 7:26 | comment | added | SaiBot | I would add classification, e.g., there are numerous apps that recognize your activity based on analyzing the accelerometer data of your phone. | |
| Sep 19, 2018 at 12:50 | history | edited | Nicole Origami Fox | CC BY-SA 4.0 |
added 140 characters in body
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| Sep 19, 2018 at 12:45 | review | First posts | |||
| Sep 19, 2018 at 14:10 | |||||
| Sep 19, 2018 at 12:42 | history | answered | Nicole Origami Fox | CC BY-SA 4.0 |