Real-time hand gesture recognition using the Myo armband and muscle activity detection
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 …
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
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 …
gestures and sensed body movements is becoming an everyday reality. The emergence of …
Exploring the potential for touchless interaction in image-guided interventional radiology
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 …
interact with digital images under sterile conditions. Traditional touch-based interaction …
Hand gesture identification using deep learning and artificial neural networks: A review
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 …
gesture detection systems that recognize gestures in real time can improve human …
Interaction proxemics and image use in neurosurgery
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 …
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
Hand gesture recognition (HGR) systems using electromyography (EMG) bracelet-type
sensors are currently largely used over other HGR technologies. However, bracelets are …
sensors are currently largely used over other HGR technologies. However, bracelets are …
Dynamic 3D hand gesture recognition by learning weighted depth motion maps
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 …
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 …
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
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 …
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 …
mice and keyboards, which limit the speed and naturalness of interaction and can no longer …