aitoralmeida/activity_segmentation
Embedding-based real-time change point detection with application to activity segmentation in smart home time series data
This helps smart home system operators automatically identify when a resident starts or stops a specific activity, like eating or sleeping, from sensor data. It takes continuous streams of sensor readings from smart homes and outputs clear markers indicating when one activity ends and another begins. This is designed for researchers or practitioners managing smart home environments who need to understand daily routines and activity patterns.
No commits in the last 6 months.
Use this if you need to automatically detect shifts in activity patterns from sensor data in real-time, especially within smart home or assisted living settings.
Not ideal if you are looking for a tool to predict what activity someone will do next, as this focuses on segmenting ongoing activities rather than forecasting.
Stars
16
Forks
4
Language
Python
License
—
Category
Last pushed
Nov 20, 2022
Commits (30d)
0
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