首页|New Robotics Study Results Reported from University of Zagreb (Diver-robot Commu nication Dataset for Underwater Hand Gesture Recognition)
New Robotics Study Results Reported from University of Zagreb (Diver-robot Commu nication Dataset for Underwater Hand Gesture Recognition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating from Zagreb, Croatia, by NewsRx correspondents, research stated, "In this paper, we present a dataset of diving gesture images used for human-robot interaction underwater. By offering this ope n access dataset, the paper aims at investigating the potential of using visual detection of diving gestures from an autonomous underwater vehicle (AUV) as a fo rm of communication with a human diver." Financial support for this research came from Office of Naval Research. Our news editors obtained a quote from the research from the University of Zagre b, "In addition to the image recording, the same dataset was recorded using a sm art gesture recognition glove. The glove uses dielectric elastomer sensors and o n -board processing to determine the selected gesture and transmit the command a ssociated with the gesture to the AUV via acoustics. Although this method can be used under different visibility conditions and even without line of sight, it i ntroduces a communication delay required for the acoustic transmission of the ge sture command. To compare efficiency, the glove was equipped with visual markers proposed in a gesture -based language called CADDIAN and recorded with an under water camera in parallel to the glove's onboard recognition process. The dataset contains over 30,000 underwater frames of nearly 900 individual gestures annota ted in corresponding snippet folders. The dataset was recorded in a balanced rat io with five different divers in sea and five different divers in pool condition s, with gestures recorded at 1, 2 and 3 metres from the camera. The glove gestur e recognition statistics are reported in terms of average diver reaction time, a verage time taken to perform a gesture, recognition success rate, transmission t imes and more."
ZagrebCroatiaEuropeEmerging Techno logiesMachine LearningRobotRoboticsUniversity of Zagreb
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