Real-time hand gesture recognition using the Myo armband and muscle activity detection

ME Benalcázar, C Motoche, JA Zea… - 2017 IEEE second …, 2017 - ieeexplore.ieee.org
Hand gesture recognition consists of identifying the class and the instant of occurrence of a
given movement of the hand. The solutions to this problem have many applications in …

On the naturalness of touchless: putting the “interaction” back into NUI

K O'hara, R Harper, H Mentis, A Sellen… - ACM Transactions on …, 2013 - dl.acm.org
After many decades of research, the ability to interact with technology through touchless
gestures and sensed body movements is becoming an everyday reality. The emergence of …

Exploring the potential for touchless interaction in image-guided interventional radiology

R Johnson, K O'Hara, A Sellen, C Cousins… - Proceedings of the …, 2011 - dl.acm.org
The growth of image-guided procedures in surgical settings has led to an increased need to
interact with digital images under sterile conditions. Traditional touch-based interaction …

Hand gesture identification using deep learning and artificial neural networks: A review

J John, SP Deshpande - … Applications: Select Proceedings of CIEMA 2022, 2023 - Springer
Any human–computer interaction application needs to be able to recognize gestures. Hand
gesture detection systems that recognize gestures in real time can improve human …

Interaction proxemics and image use in neurosurgery

HM Mentis, K O'Hara, A Sellen, R Trivedi - Proceedings of the SIGCHI …, 2012 - dl.acm.org
Within medical settings there is a growing interest in exploring touchless interaction
technologies. The primary motivation here is to avoid contact during interaction with data so …

An energy-based method for orientation correction of EMG bracelet sensors in hand gesture recognition systems

LIB López, ÁLV Caraguay, VH Vimos, JA Zea… - Sensors, 2020 - mdpi.com
Hand gesture recognition (HGR) systems using electromyography (EMG) bracelet-type
sensors are currently largely used over other HGR technologies. However, bracelets are …

Dynamic 3D hand gesture recognition by learning weighted depth motion maps

R Azad, M Asadi-Aghbolaghi, S Kasaei… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Hand gesture recognition (HGR) from sequences of depth maps is a challenging computer
vision task because of the low inter-class and high intra-class variability, different execution …

Informatics in radiology: Develo** a touchless user interface for intraoperative image control during interventional radiology procedures

JH Tan, C Chao, M Zawaideh, AC Roberts… - Radiographics, 2013 - pubs.rsna.org
Review of prior and real-time patient images is critical during an interventional radiology
procedure; however, it often poses the challenge of efficiently reviewing images while …

[HTML][HTML] Use of commercial off-the-shelf devices for the detection of manual gestures in surgery: systematic literature review

F Alvarez-Lopez, MF Maina, F Saigí-Rubió - Journal of medical Internet …, 2019 - jmir.org
Background The increasingly pervasive presence of technology in the operating room raises
the need to study the interaction between the surgeon and computer system. A new …

Air-GR: An Over-the-Air Handwritten Character Recognition System Based on Coordinate Correction YOLOv5 Algorithm and LGR-CNN

Y Zhang, Z Li, Z Yang, B Yuan, X Liu - Sensors, 2023 - mdpi.com
Traditional human-computer interaction technology relies heavily on input devices such as
mice and keyboards, which limit the speed and naturalness of interaction and can no longer …