Real-time motion capture: An overview

X Zhu, KF Li - 2016 10th International Conference on Complex …, 2016 - ieeexplore.ieee.org
Many emerging motion-related applications, such as virtual reality, decision making, and
health monitoring, demand reliability and quick response upon input changes. Motion …

A novel gesture-based language for underwater human–robot interaction

D Chiarella, M Bibuli, G Bruzzone, M Caccia… - Journal of Marine …, 2018 - mdpi.com
The underwater environment is characterized by hazardous conditions that make it difficult
to manage and monitor even the simplest human operation. The introduction of a robot …

A human-centered approach to one-shot gesture learning

ME Cabrera, JP Wachs - Frontiers in Robotics and AI, 2017 - frontiersin.org
This article discusses the problem of one-shot gesture recognition using a human-centered
approach and its potential application to fields such as human–robot interaction where the …

Gestures for picture archiving and communication systems (pacs) operation in the operating room: Is there any standard?

N Madapana, G Gonzalez, R Rodgers, L Zhang… - PloS one, 2018 - journals.plos.org
Objective Gestural interfaces allow accessing and manipulating Electronic Medical Records
(EMR) in hospitals while keeping a complete sterile environment. Particularly, in the …

Believability and co-presence in human-virtual character interaction

E Bevacqua, R Richard… - IEEE computer graphics …, 2017 - ieeexplore.ieee.org
Subtle phenomena rooted in our body dynamics affect the reactive and evolutive parts of
every human interaction. The authors' decision model allows for adaptive physical …

Zsgl: Zero shot gestural learning

N Madapana, J Wachs - Proceedings of the 19th ACM International …, 2017 - dl.acm.org
Gesture recognition systems enable humans to interact with machines in an intuitive and a
natural way. Humans tend to create the gestures on the fly and conventional systems lack …

Single-equipment with multiple-application for an automated robot-car control system

S Ullah, Z Mumtaz, S Liu, M Abubaqr, A Mahboob… - Sensors, 2019 - mdpi.com
The integration of greater functionalities into vehicles increases the complexity of car-
controlling. Many research efforts are dedicated to designing car-controlling systems that …

Hard zero shot learning for gesture recognition

N Madapana, JP Wachs - 2018 24th international conference …, 2018 - ieeexplore.ieee.org
Gesture based systems allow humans to interact with devices and robots in a natural way.
Yet, current gesture recognition systems can not recognize the gestures outside a limited …

Biomechanical-based approach to data augmentation for one-shot gesture recognition

ME Cabrera, JP Wachs - … Face & Gesture Recognition (FG 2018 …, 2018 - ieeexplore.ieee.org
Most common approaches to one-shot gesture recognition have leveraged mainly
conventional machine learning solutions and image based data augmentation techniques …

INGREDIBLE: A platform for full body interaction between human and virtual agent that improves co-presence

E Bevacqua, R Richard, J Soler, P De Loor - Proceedings of the 3rd …, 2016 - dl.acm.org
This paper presents a platform dedicated to a full body interaction between a virtual agent
and human or between two virtual agents. It is based on the notion of coupling and the …