In this review, we describe current Machine Learning approaches to hand gesture
recognition with depth data from time-of-flight sensors. In particular, we summarise the …

Automotive user interfaces constantly change due to increasing automation, novel features,
additional applications, and user demands. While in-vehicle interaction can utilize numerous …

Objective We observe the driving performance effects of gesture-based interaction (GBI)
versus touch-based interaction (TBI) for in-vehicle information systems (IVISs). Background …

In this contribution we present a novel approach to transform data from time-of-flight (ToF)
sensors to be interpretable by Convolutional Neural Networks (CNNs). As ToF data tends to …

We studied two interaction techniques to perform secondary tasks in a driving simulator
environment with the focus on driving safety. In both techniques, the participants (N= 20) …

The arrival of the Internet of Vehicles has promoted the transformation of in-vehicle human-
computer interaction. As a new way of human-computer interaction, gesture interaction plays …

This research empirically evaluates the introduction of speech to existing keyboard and
mouse input modalities in an application used to control aircraft in a simulated, complex and …

This thesis investigates aspects of designing and implementing gestures in human-machine
interaction (HMI). The first part focuses on aspects of a gesture set and additional feedback …

An in-air gesture (Pick&Drop) is elicited, implemented and studied through five metrics in
order to explore the in-air space for virtual data transfer between different devices. This …

Die berührungslose Gesteneingabe setzt sich zunehmend in Anwendungen der Mensch-
Technik-Interaktion durch. Als bedeutender Nachteil dieses Ansatzes ist jedoch das Fehlen …