Human-Robot Interaction (HRI) through hand gestures for possible future war robots: A leap motion controller application
E Sesli - Multimedia Tools and Applications, 2024 - Springer
In this article, the futuristically possible human (commander)-robot (soldier) interaction (HRI)
based on effective hand gesture recognition is discussed. As methodologically, Leap Motion …
based on effective hand gesture recognition is discussed. As methodologically, Leap Motion …
Learning sequential contexts using transformer for 3d hand pose estimation
3D hand pose estimation (HPE) is the process of locating the joints of the hand in 3D from
any visual input. HPE has recently received an increased amount of attention due to its key …
any visual input. HPE has recently received an increased amount of attention due to its key …
Human-Machine Interface (HMI) Robotic Arm Controlled by Gyroscopically Acceleration
R Parvin, R Al Adnan, MR Uddin… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Through the use of a sensor MPU 6050, a “Human-Machine Interface Robotic Arm” is
proposed and created in this article. This sensor detects hand motion in any direction. The …
proposed and created in this article. This sensor detects hand motion in any direction. The …
Improving Gait Analysis Techniques with Markerless Pose Estimation Based on Smartphone Location
J Yang, K Park - Bioengineering, 2024 - mdpi.com
Marker-based 3D motion capture systems, widely used for gait analysis, are accurate but
have disadvantages such as cost and accessibility. Whereas markerless pose estimation …
have disadvantages such as cost and accessibility. Whereas markerless pose estimation …
CNN-based hand gesture recognition for contactless elevator button control
V Munasinghe, YM Li, TS Kim… - 2023 International …, 2023 - ieeexplore.ieee.org
Recently, with the outbreak of the COVID-19 pandemic, various quarantine measures have
been implemented to reduce the spread of the virus. As a part of efforts, the preference for …
been implemented to reduce the spread of the virus. As a part of efforts, the preference for …
Lightweight Deep Learning Models for Robust Hand Gesture Recognition
Nisha, Sonu, S Narayan, J Gajrani - International Conference on Advances …, 2024 - Springer
Hand gesture recognition is a burgeoning area of study with wide-ranging applications,
including human–computer interaction, sign language translation, and virtual reality control …
including human–computer interaction, sign language translation, and virtual reality control …
Improvement of Vision-Based Hand Gesture Recognition System with Distance Range
ME Mukhtar, N Sunar, NHA Wahab… - Asia Simulation …, 2023 - Springer
Hand gestures are widely explored for the human action interface, reducing the complexity
of interaction between humans and computers. Hand gesture-based interaction for computer …
of interaction between humans and computers. Hand gesture-based interaction for computer …
Humanoid Left Arm Collaboration Empowered by IoT and Synchronization of Human Joints: IOT BASED JOINT SYNCHRONIZED COLLABORATIVE HUMANOID …
AK Agrawal, J Kumar - Journal of Scientific & Industrial Research …, 2024 - or.niscpr.res.in
A robotic left arm has been developed in this research to assist individuals in safely
navigating hazardous environments, utilizing Internet of Things (IoT) technology to …
navigating hazardous environments, utilizing Internet of Things (IoT) technology to …
Humanoid Left Arm Collaboration Empowered by IoT and Synchronization of Human Joints
AK Agrawal, J Kumar - 2024 - nopr.niscpr.res.in
A robotic left arm has been developed in this research to assist individuals in safely
navigating hazardous environments, utilizing Internet of Things (IoT) technology to …
navigating hazardous environments, utilizing Internet of Things (IoT) technology to …
Research on Gesture Recognition Algorithm Based on Feature Fusion Network Structure
W Yu, C Chen, Z Wang, S Li, Y Zhang - Proceedings of the 5th …, 2024 - dl.acm.org
A feature fusion network structure based on the fusion of traditional CNN network and
Transformer is proposed to combine convolution and global attention to extract image local …
Transformer is proposed to combine convolution and global attention to extract image local …