4.6 Article

Human-Robot Interaction (HRI) through hand gestures for possible future war robots: A leap motion controller application

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Multi-modality deep forest for hand motion recognition via fusing sEMG and acceleration signals

Yinfeng Fang et al.

Summary: This study proposes a multi-modality deep forest framework for hand motion recognition, which fuses surface electromyographic signals and acceleration signals for classification. The experimental results show that this framework outperforms competitors in accuracy and achieves better performance even with the input of single modality sEMG signals.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2023)

Article Computer Science, Artificial Intelligence

Glove-Based Hand Gesture Recognition for Diver Communication

Derek W. Orbaugh Antillon et al.

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 Automation & Control Systems

Multimodal data fusion framework enhanced robot-assisted minimally invasive surgery

Wen Qi et al.

Summary: This study focuses on promoting human-machine interaction through robot-assisted minimally invasive surgery (RAMIS), proposing a multimodal data fusion framework to enhance accuracy, and designing a multi-sensors hardware structure to capture various data. Experimental results demonstrate the effectiveness of this framework in a surgical robot environment, indicating potential collaboration with medical staff in the future.

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL (2022)

Article Chemistry, Multidisciplinary

Self-Powered Gesture Recognition Wristband Enabled by Machine Learning for Full Keyboard and Multicommand Input

Puchuan Tan et al.

Summary: In this study, a gesture recognition wristband that allows for full keyboard and multicommand input is developed. The wristband is convenient to wear, low in cost, and does not interfere with other hand movements. With the use of physiological anatomy, active sensor, and machine learning technology, the wristband achieves a high accuracy rate in recognizing 26 letters.

ADVANCED MATERIALS (2022)

Article Computer Science, Software Engineering

Encoded motion image-based dynamic hand gesture recognition

Rahul Jain et al.

Summary: This study proposes a method that converts gesture depth videos into encoded motion images for dynamic gesture recognition, achieving high accuracy rates on two datasets.

VISUAL COMPUTER (2022)

Article Chemistry, Analytical

WiFi Signal-Based Gesture Recognition Using Federated Parameter-Matched Aggregation

Weidong Zhang et al.

Summary: Gesture recognition is crucial for smart homes. Existing WiFi signal-based approaches require large amounts of data and human participants to train models, which lack robustness. To address this issue, we propose a WiFi signal-based gesture recognition system using matched averaging federated learning, which improves the accuracy and robustness of the model by considering differences in WiFi signal distribution caused by the same gesture in different environments.

SENSORS (2022)

Article Mathematics

Military Applications of Machine Learning: A Bibliometric Perspective

Jose Javier Galan et al.

Summary: This paper presents a machine learning architecture model applied to a military organization, supported by a bibliometric study. Machine learning is used to analyze a large volume of data and make predictions, providing automatic learning and decision support. A research methodology used in a nonmilitary organization is explained and applied to draw a conceptual architecture for practical use of machine learning in a military environment.

MATHEMATICS (2022)

Proceedings Paper Engineering, Electrical & Electronic

Realtime Hand-Gesture Recognition Based on Novel Charge Variation Sensor and IMU

Elio Reinschmidt et al.

Summary: This work proposes a new wearable hand gesture detection device that combines electrostatic sensing circuit with IMU technology, achieving over 11 hours of active gesture detection on one battery charge. With an onboard ARM Cortex M33 microcontroller equipped with a mini machine learning model, gestures can be detected in real time with an accuracy of up to 87%. The electrostatic sensing bracelet enhances IMU gesture recognition, increasing accuracy by more than 10% compared to IMU-only estimations.

2022 IEEE SENSORS (2022)

Article Computer Science, Information Systems

Artificial Intelligence Applications in Military Systems and Their Influence on Sense of Security of Citizens

Marta Bistron et al.

Summary: This paper examines the current and future prospects of artificial intelligence algorithms in both military and civilian applications, discussing their use in cybersecurity, object detection, military logistics, and robotics. It also delves into ethical concerns and issues of responsibility surrounding the application of AI.

ELECTRONICS (2021)

Article

Dynamic hand gesture recognition of sign language using geometric features learning

Saba Joudaki et al.

International Journal of Computational Vision and Robotics (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia

Min Wang et al.

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2020)

Article Computer Science, Interdisciplinary Applications

Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room

A-reum Lee et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

Article Computer Science, Information Systems

Trembling triggers: exploring the sensitivity of backdoors in DNN-based face recognition

Cecilia Pasquini et al.

EURASIP JOURNAL ON INFORMATION SECURITY (2020)

Article Automation & Control Systems

Deep Learning Based Hand Gesture Recognition and UAV Flight Controls

Bin Hu et al.

INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING (2020)

Article Engineering, Electrical & Electronic

A Modified LSTM Model for Continuous Sign Language Recognition Using Leap Motion

Anshul Mittal et al.

IEEE SENSORS JOURNAL (2019)

Article Robotics

Development and control of a military rescue robot for casualty extraction task

Byunghun Choi et al.

JOURNAL OF FIELD ROBOTICS (2019)

Article Computer Science, Information Systems

Gesture recognition based on skeletonization algorithm and CNN with ASL database

Du Jiang et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2019)

Article Chemistry, Multidisciplinary

Recognition of American Sign Language Gestures in a Virtual Reality Using Leap Motion

Aurelijus Vaitkevicius et al.

APPLIED SCIENCES-BASEL (2019)

Review Computer Science, Artificial Intelligence

A systematic review on hand gesture recognition techniques, challenges and applications

Mais Yasen et al.

PEERJ COMPUTER SCIENCE (2019)

Article Engineering, Biomedical

Objective and automatic classification of Parkinson disease with Leap Motion controller

A. H. Butt et al.

BIOMEDICAL ENGINEERING ONLINE (2018)

Article Automation & Control Systems

Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms

Pawel Plawiak et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2016)

Article Engineering, Electrical & Electronic

Anomaly detection based on probability density function with Kullback-Leibler divergence

Wei Wang et al.

SIGNAL PROCESSING (2016)

Article Statistics & Probability

Kullback-Leibler divergence: A quantile approach

P. G. Sankaran et al.

STATISTICS & PROBABILITY LETTERS (2016)

Article Automation & Control Systems

Low-Complexity Hand Gesture Recognition System for Continuous Streams of Digits and Letters

Stergios Poularakis et al.

IEEE TRANSACTIONS ON CYBERNETICS (2016)

Article Computer Science, Interdisciplinary Applications

Hand gesture guided robot-assisted surgery based on a direct augmented reality interface

Rong Wen et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2014)

Article Acoustics

Convolutional Neural Networks for Speech Recognition

Ossama Abdel-Hamid et al.

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2014)

Article Computer Science, Information Systems

A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem

Hyung Jun Ahn

INFORMATION SCIENCES (2008)

Article Computer Science, Artificial Intelligence

Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance

MN Do et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2002)