Activity recognition in a smart home
Organization
Machine learning and data mining
Abstract
Have you ever wondered how FitBit or some other device on the wrist figures out what you are doing? Here is your chance to explore the task of automatic activity recognition yourself! I can provide several datasets, where the activities have been carefully labelled and one or more acceleration sensors have been used. The first simple goal is to predict whether the person is walking, standing, sitting or lying down. Optionally, more complicated activities such as cooking or eating could be attempted to recognise. The project can easily be extended into a bachelor or master thesis, for example by considering more activities or learning location-specific models.
Graduation Theses defence year
2017-2018
Supervisor
Meelis Kull
Spoken language (s)
Estonian, English
Requirements for candidates
Level
Bachelor, Masters
Keywords
Application of contact
Name
Meelis Kull
Phone
E-mail