Gesture and speech combine to form a rich basis for human conversational interaction. To
exploit these modalities in HCI, we need to understand the interplay between them and the …

This paper presents a new visual gesture recognition method for the human-machine
interface of mobile robot teleoperation. The interface uses seven static hand gestures, each …

The paper describes a multi-modal scheme for human–robot interaction suited for a wide
range of intelligent service robot applications. Operating in un-engineered, cluttered, and …

As robots enter the human environment and come into contact with inexperienced users,
they need to be able to interact with users in a multimodal fashion—keyboard and mouse …

Gestures provide a rich and intuitive form of interaction for controlling robots. This paper
presents an approach for controlling a mobile robot with hand gestures. The system uses …

Aerial robots are becoming popular among general public, and with the development of
artificial intelligence (AI), there is a trend to equip aerial robots with a natural user interface …

The catchment feature model addresses two questions in the field of multimodal interaction:
how we bridge video and audio processing with the realities of human multimodal …

Recently there is an increasing interest in video based interface techniques, allowing more
natural interaction between users and systems than common interface devices do. We …

This book provides insight into the potential interface technologies between humans and
computers or computerized machines that are suitable for people who do not have the …

We present a neural network architecture for gesture-based interaction between a mobile
robot and its user, thereby spanning a bridge from the localisation of the user over the …