In this paper, we present a dataset of diving gesture images used for human–robot
interaction underwater. By offering this open access dataset, the paper aims at investigating …

We have developed a smart dive glove that recognizes 13 static hand gestures used in
diving communication. The smart glove employs five dielectric elastomer sensors to capture …

Gesture recognition is a convenient human-machine interaction method and computer
vision-based techniques are typically employed for this purpose. In literature, there are many …

Despite the popularity of the buddy system, where a pair of divers look out for each other,
scuba diving still poses significant risks with 15–30 deaths per 100 000 divers per year. In …

This paper presents a diver gesture recognition method for autonomous underwater
vehicles (AUVs) to facilitate human-robot collaborative tasks. While previous methods of …

The marine environment presents a unique set of challenges for human–robot interaction.
Communicating with gestures is a common way for interacting between the diver and …

We propose a robust gesture-based communication pipeline for divers to instruct an
Autonomous Underwater Vehicle (AUV) to assist them in performing high-risk tasks and …

The underwater environment provides a range of interesting applications for human-robot
teams. A critical issue for such teams is the development of an appropriate communication …

In the maritime environment, proper diver-robot communication is a bottleneck to enable
collaborative work underwater. Many applications like companion or safety robots require a …

Underwater gesture recognition has emerged as a popular research area for achieving
efficient and secure underwater human-human interaction and human-robot collaboration …