ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data

1 code implementation • 24 Jul 2020 • Shohreh Deldari, Daniel V. Smith, Amin Sadri, Flora D. Salim

Extracting informative and meaningful temporal segments from high-dimensional wearable sensor data, smart devices, or IoT data is a vital preprocessing step in applications such as Human Activity Recognition (HAR), trajectory prediction, gesture recognition, and lifelogging.

Change Point Detection Gesture Recognition +4