Matti Matilainen defended his doctoral study titled “Embedded computer vision methods for human activity recognition” on 8 September, 2017.
In his thesis, Matilainen presents a system for human body part segmentation, which is applied related to person identification from one’s gait and unusual activity detection. The interfacing is assumed to be done unnoticeably to the user via a wireless sensor network that is monitoring the user and analyzing his or her behaviour and also using a hand held mobile device which can be used to control the system.
Results of the study can be used for developing futuristic ways for people to interact with machines to replace traditional mouse and keyboard. One possible direction where human-computer interfaces can go is to be able to completely hide the interface from the user and allow him or her to interact with the machines in a way that is more natural to human. The thesis introduces a smart living space concept that is a step towards that direction.
Details of the defense and link to Matti Matilainen’s dissertation can be found at http://jultika.oulu.fi/Record/isbn978-952-62-1625-6. Matti Matilainen has been working with Neagen Oy.
Last updated: 13.9.2017