Embodiments for continuous time alignment of a collection of independent sensors monitoring a common entity by one or more processors. One or more activity events associated with a monitored entity may be identified in the time series sensor data collected from a plurality of sensors. The one or more activity events may be dynamically characterized in the time series sensor data using a machine learning operation. The time series data streams from each of the plurality of sensors may be time-aligned by aligning the one or more activity events.