Vision-based holistic scene understanding towards proactive human–robot collaboration
Recently human–robot collaboration (HRC) has emerged as a promising paradigm for mass
personalization in manufacturing owing to the potential to fully exploit the strength of human …
personalization in manufacturing owing to the potential to fully exploit the strength of human …
Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey
Human–robot interaction (HRI) has escalated in notability in recent years, and multimodal
communication and control strategies are necessitated to guarantee a secure, efficient, and …
communication and control strategies are necessitated to guarantee a secure, efficient, and …
Multi-semantic discriminative feature learning for sign gesture recognition using hybrid deep neural architecture
E Rajalakshmi, R Elakkiya… - IEEE …, 2023 - ieeexplore.ieee.org
The speech and hearing-impaired community use sign language as the primary means of
communication. It is quite challenging for the general population to interpret or learn sign …
communication. It is quite challenging for the general population to interpret or learn sign …
[HTML][HTML] Workplace Well-Being in Industry 5.0: A Worker-Centered Systematic Review
The paradigm of Industry 5.0 pushes the transition from the traditional to a novel, smart,
digital, and connected industry, where well-being is key to enhance productivity, optimize …
digital, and connected industry, where well-being is key to enhance productivity, optimize …
Static and dynamic isolated Indian and Russian sign language recognition with spatial and temporal feature detection using hybrid neural network
The Sign Language Recognition system intends to recognize the Sign language used by the
hearing and vocally impaired populace. The interpretation of isolated sign language from …
hearing and vocally impaired populace. The interpretation of isolated sign language from …
Designs of human–robot interaction using depth sensor-based hand gesture communication for smart material-handling robot operations
IJ Ding, JL Su - Proceedings of the Institution of Mechanical …, 2023 - journals.sagepub.com
With rapid developments in biometric recognition, a great deal of attention is being paid to
robots which interact smartly with humans and communicate certain types of biometrical …
robots which interact smartly with humans and communicate certain types of biometrical …
SpAtNet: A spatial feature attention network for hand gesture recognition
Abstract Hand Gesture Recognition is receiving enormous attention because they facilitate
communication for various applications, including human-computer interaction. However …
communication for various applications, including human-computer interaction. However …
Convolutional neural networks framework for human hand gesture recognition
Recently, the recognition of human hand gestures is becoming a valuable technology for
various applications like sign language recognition, virtual games and robotics control …
various applications like sign language recognition, virtual games and robotics control …
Snapture—a novel neural architecture for combined static and dynamic hand gesture recognition
As robots are expected to get more involved in people's everyday lives, frameworks that
enable intuitive user interfaces are in demand. Hand gesture recognition systems provide a …
enable intuitive user interfaces are in demand. Hand gesture recognition systems provide a …
Free hand text displaying through hand gestures using mediapipe
C Gunda, M Maddelabanda… - 2022 Third …, 2022 - ieeexplore.ieee.org
Over years, presenting the content on chalk boards or through power point presentations
have been following in many sectors. Digitalization of things across the world can be seen …
have been following in many sectors. Digitalization of things across the world can be seen …