Computer vision on embedded devices for natural user interfacesJUVAN, MARK (Avtor) Čehovin Zajc, Luka (Mentor) DepthAIembedded computer visionconvolutional neural networkshuman-computer interactiongesturesIn this diploma thesis, a prototype of a natural user interface concept using DepthAI is presented. DepthAI is an embedded device capable of running complex computer vision algorithms independently, efficiently and with low power consumption. Our interface concept uses DepthAI to run pre-trained convolutional neural networks for face and hand detection. Face and hand positions are then interpreted as gestures, which are used to navigate the tree structure the interface runs on. To evaluate our system in a real-world information display scenario, a group of volunteers was asked to participate. Their feedback was predominantly positive which confirms the feasibility of the presented concept.20212021-08-18 11:30:00Diplomsko delo/naloga128928VisID: 30182COBISS_ID: 78873091sl