Article
Computer Science, Artificial Intelligence
Derek W. Orbaugh Antillon, Christopher R. Walker, Samuel Rosset, Iain A. Anderson
Summary: A smart dive glove has been developed to recognize 13 hand gestures used in diving communication. Different classification algorithms were trained and evaluated, showing good performance in a dry environment but decreasing underwater, especially when divers need to focus on other tasks.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Peiying Lin, Ruofan Zhuo, Shiyu Wang, Zhouyi Wu, Jiangtao Huangfu
Summary: This study proposes a gesture recognition method and device based on light sensing characteristics of LED screens, which eliminates the need for external sensors. By utilizing deep learning and optimized algorithms, the system achieves high accuracy in gesture recognition.
IEEE SENSORS JOURNAL
(2022)
Article
Mathematics
Emanuela Bran, Elena Bautu, Dragos Florin Sburlan, Crenguta Madalina Puchianu, Dorin Mircea Popovici
Summary: In the context of hyper-connected cars and a growing heterogeneous digital ecosystem, this study aims to enhance the driving experience by proposing a proof of concept in-vehicle system that utilizes data from various sensors, devices, and services. The system focuses on driving and trip planning, health and well-being, and social and online activities, providing multi-modal interaction for users.
Article
Chemistry, Analytical
Ching-Han Chen, Chien-Chun Wang, Yan-Zhen Chen
Summary: A recurrent probabilistic neural network (RPNN) for toothbrush posture recognition is proposed in this study, demonstrating high accuracy of 99.08% and low computational resource requirements. Compared to traditional deep learning models, RPNN can be directly used on smartphones, offering a much more efficient and accurate solution for oral health care.
Article
Computer Science, Artificial Intelligence
Satya Narayan, Arka Prokash Mazumdar, Santosh Kumar Vipparthi
Summary: This paper proposes a real-time skeleton-based intelligent dynamic hand gesture recognition approach, comprising three modules: Palm Centroid (PC), Data augmentation with the Tenet Effect, and Deep learning architecture. It evaluates the effectiveness of the framework over five challenging datasets.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Multidisciplinary Sciences
Shiqi Wang, Kankan Wang, Tingping Yang, Yiming Li, Di Fan
Summary: This paper proposes an improved 3D-ResNet sign language recognition algorithm with enhanced hand features, aiming to improve the accuracy of sign language recognition. The algorithm detects the hand regions using the improved EfficientDet network and enhances the detection ability with dual channel and spatial attention modules. Additionally, an improved residual module is used to extract sign language features. Experimental results show that the proposed algorithm achieves higher recognition accuracy compared to other algorithms.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Yin-Lin Chen, Wen-Jyi Hwang, Tsung-Ming Tai, Po-Sheng Cheng
Summary: This study presents a novel neural network architecture for sensor-based gesture detection and recognition. The proposed algorithm accurately detects and classifies a sequence of hand gestures, providing an effective alternative for applications where accurate detection and classification of hand gestures by simple networks are desired.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Environmental
Wei Gu, Shengchang Yan, Jian Xiong, Yaogang Li, Qinghong Zhang, Kerui Li, Chengyi Hou, Hongzhi Wang
Summary: Smart gloves are being researched as additional solutions for vision and voice interaction interfaces. However, there is a trade-off between functionality, performance, and cost due to limitations in hand gesture recognition capability. A recyclable and stretchable sensing fiber based on liquid metal and thermoplastics has been developed, enabling highly accurate hand gesture signals and reducing design complexity. Combined with machine learning, three hand gesture recognition systems have been successfully constructed, demonstrating the potential of wireless smart gloves for widespread practical applications.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Biomedical
Xiaoguang Liu, Jiawei Wang, Tingwen Han, Cunguang Lou, Tie Liang, Hongrui Wang, Xiuling Liu
Summary: Intelligent prosthetic hand is an important branch of intelligent robotics that can remotely complete complex tasks and assist in rehabilitation training. This paper proposes a new multichannel fusion scheme to improve gesture recognition accuracy and enhances the performance of the network using an improved Temporal Convolutional Network.
APPLIED BIONICS AND BIOMECHANICS
(2022)
Article
Computer Science, Artificial Intelligence
Nourelhoda M. Mahmoud, Hassan Fouad, Ahmed M. Soliman
Summary: The paper presents a reliable gesture recognition method using series learning for identifying patient actions through remote monitoring. The system can monitor patient activities, improve convergence and promptly identify misdetections and classifications. The proposed method demonstrates high precision and accuracy under different gestures and interference factors.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Cheng-Ying Yang, Yi-Nan Lin, Sheng-Kuan Wang, Victor R. L. Shen, Yi-Chih Tung, Frank H. C. Shen, Chun-Hsiang Huang
Summary: With the rapid development of IoT technology, various intelligent home appliances in the market are constantly innovating, and the public's requirements for residential safety and convenience are increasing. Aging societies are a challenge for countries around the world. Hand gesture recognition is gaining popularity in various fields, and creating a convenient and smart control system for home appliances for the elderly or disabled has become the objective of this study. The study uses Google MediaPipe to develop a hand tracking system and achieves high precision and recall values in recognizing hand gestures.
APPLIED ARTIFICIAL INTELLIGENCE
(2023)
Article
Automation & Control Systems
Yu Jiang, Xianglong Peng, Mingzhu Xue, Chong Wang, Hong Qi
Summary: This paper discusses the importance of AUV in ocean research and the impact of the underwater environment on AUV control and human-robot interaction. It introduces fuzzy control to address the parameter issue in the traditional control model, as well as the gesture recognition framework for controlling AUV.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Yong Soon Tan, Kian Ming Lim, Chin Poo Lee
Summary: Hand gesture recognition is essential for human communication and interaction, and has applications in human-computer interaction and bridging language barriers. Hand-crafted and deep learning approaches can tackle challenges in vision-based hand gesture recognition, with the former focusing on specific challenges and the latter adapting to various challenges through supervised learning.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Theory & Methods
Tao Song, Honghua Zhao, Zhi Liu, Hao Liu, Yuanyuan Hu, Dianmin Sun
Summary: In this study, a novel quality-aware human-computer interaction (HCI) framework is proposed for understanding sophisticated human hand gestures by optimizing a multi-view feature learning algorithm. The method achieves competitive recognition accuracy with less time consumption and supports an arbitrary number of semantic categories characterizing human hand gestures. This technique can be easily integrated into state-of-the-art HCI systems.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Engineering, Electrical & Electronic
Qiang Fu, Jiajun Fu, Songyuan Zhang, Xun Li, Jian Guo, Shuxiang Guo
Summary: The study designed an intelligent human-computer interaction system that effectively addresses communication inconvenience between the hard of hearing and the non-disabled by combining artificial intelligence with wearable devices and classifying gestures using a BP neural network.
IEEE SENSORS JOURNAL
(2021)
