Master Computer Science



The following thesis was written by a student in the 2018-2019 class of the Master Computer Science programme at Leiden University.


Thesis details

TitleBuilding robust prediction models for Activity Recognition and Energy Expenditure from raw accelerometer data using Gated Recurrent Units and Long Short Term Memory Neural Networks
StudentOkai, Jeremiah
ProgrammeMaster Computer Science
Year2018-2019
Thesis Open Thesis PDF

Citation details

Okai, Jeremiah, Building robust prediction models for Activity Recognition and Energy Expenditure from raw accelerometer data using Gated Recurrent Units and Long Short Term Memory Neural Networks, Thesis Master Computer Science, LIACS, Leiden University, 2019.