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Artykuły w czasopismach na temat „GESTURE CONTROLLING”

Autor: Grafiati

Data publikacji: 11 września 2023

Data aktualizacji: 31 lipca 2025

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1

Sayre, Umang. "Controlling Mouse Cursor Using Hand Gestures." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43347.

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In the field of human-computer interaction ,input devices like keyboard, mouse have been the standard method of communication. However there is smoother and more natural way of communicating through the implementation of hand gesture. This study address the hands free application to control the cursor, aiming to develop a system that allow users to control the computer cursor using hand gesture. Python and OpenCV are powerful tools that can be utilized to recognize and interpret hand gestures. By implementing image processing techniques, developers can create software that can accurately ident

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Jahnavi, Mudili. "Controlling Computer Using Hand Gestures." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem49260.

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Abstract: In the realm of Human-Computer Interaction (HCI), the integration of webcams and various sensors has made gesture recognition increasingly accessible and impactful. Hand gestures provide a natural and intuitive mode of communication, enabling seamless interaction between humans and computers. This paper highlights the potential of hand gestures as an effective medium for non-verbal communication and control, with applications spanning across multiple domains. The proposed system leverages image processing techniques, sensor technologies, and computer vision to enable gesture-based co

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Vijaya, V. Krishna, Puvvala Harsha, Sricharan Murukutla, Kurra Eswar, and Nannapaneni Sravan Kuma. "Hand Gesture Controlling System." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 669–74. http://dx.doi.org/10.22214/ijraset.2023.48653.

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bstract: As a result of the industrial 4.0 revolution, hand gestures are becoming more and more significant in the disciplines of robotics and IoT. Hand gestures are often used in the IoT field in applications for smart homes, wearable technology, vehicles, virtual reality, and other things. Let's try to infuse this work with some of our own originality. Combining Python and Arduino for Laptop/Computer Gesture Control. We'll utilise two Ultrasonic sensors to determine where our hand is with relation to a media player (VLC) and control it. We'll mount two ultrasonic sensors on top of the monito

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Varshika, DSS. "Media-Player Controlling by Hand Gestures." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 2022–30. http://dx.doi.org/10.22214/ijraset.2021.348515421.

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In this Project we try to control our media player using hand gestures with the help of OpenCV and Python. Computer applications require interaction between human and computer. This interaction needs to be unrestricted and it has made it challenging to traditional input devices such as keyboard, mouse, pen etc. Hand gesture is an important component of body languages in linguistics. Human computer interaction becomes easy with the use of the hand as a device. Use of hand gestures to operate machines would make interaction interesting. Gesture recognition has gained a lot of importance. Hand ge

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Alyamani, Hasan J. "Gesture Vocabularies for Hand Gestures for Controlling Air Conditioners in Home and Vehicle Environments." Electronics 12, no. 7 (2023): 1513. http://dx.doi.org/10.3390/electronics12071513.

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With the growing prevalence of modern technologies as part of everyday life, mid-air gestures have become a promising input method in the field of human–computer interaction. This paper analyses the gestures of actual users to define a preliminary gesture vocabulary for home air conditioning (AC) systems and suggests a gesture vocabulary for controlling the AC that applies to both home and vehicle environments. In this study, a user elicitation experiment was conducted. A total of 36 participants were filmed while employing their preferred hand gestures to manipulate a home air conditioning sy

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SHAIK, Dr ABDUL NABI, E. SAI PRIYA, G. NIKITHA, K. PRACHEEN KUMAR, and N. SHRAVYA SHREE. "CONTROLLING VIDEOLAN CLIENT MEDIA USING LUCAS KANADE OPTIMAL FLOW ALGORITHM AND OPENCV." YMER Digital 21, no. 05 (2022): 246–55. http://dx.doi.org/10.37896/ymer21.05/29.

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In this project we've discussed a system which uses some dynamic hand gesture recognition technique to manage the media players like VLC media player. This project consist of certain modules which segments the foreground a part of the frame using detection of skin colour and approximate median technique. the popularity of hand gesture is finished by creating a call Tree, that uses certain features extracted from the segmented part. This hand gesture recognition technique introduces a replacement, natural thanks to interact with computers and is beneficial to several folks in our day-to-day lif

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Chakradhar, K. S., Prasanna Rejinthala Lakshmi, salla chowdary Sree Rama Brunda, Bharathi Pola, and Bhargava Petlu. "Controlling Media Player Using Hand Gestures." Electrical and Automation Engineering 2, no. 1 (2023): 45–54. http://dx.doi.org/10.46632/eae/2/1/7.

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Computer usage is increasing rapidly day by day but the input devices are limited and to access them, we need to be near the screen. To overcome this problem and control the screen, we can use hand gestures. For every operation, we used different hand gestures. We proposed a python program to control the media player through hand gestures. In this method, we used libraries like OpenCV, Media Pipe, PyAuto GUI, and other libraries to capture the video, provide ready-to-use ML solutions and automate your GUI and programmatically control your keyboard and mouse. Hand gestures will be used as the i

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Chakradhar, K. S., Lakshmi Prasanna Rejinthala, chowdary Sree Rama Brunda salla, Bharathi Pola, and Bhargava Petlu. "Controlling Media Player Using Hand Gestures." Electrical and Automation Engineering 2, no. 1 (2023): 45–54. http://dx.doi.org/10.46632/ese/2/1/7.

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Computer usage is increasing rapidly day by day but the input devices are limited and to access them, we need to be near the screen. To overcome this problem and control the screen, we can use hand gestures. For every operation, we used different hand gestures. We proposed a python program to control the media player through hand gestures. In this method, we used libraries like OpenCV, Media Pipe, PyAuto GUI, and other libraries to capture the video, provide ready-to-use ML solutions and automate your GUI and programmatically control your keyboard and mouse. Hand gestures will be used as the i

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Joshi, Dr S. M. "Controlling 3D Models in VR using Hand Gestures." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 1605–9. http://dx.doi.org/10.22214/ijraset.2024.60166.

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Abstract: The fusion of hand gesture detection technology with virtual reality (VR) environments enables users to interact organically with three-dimensional models. Utilizing VR headsets equipped with advanced hand tracking algorithms, individuals can engage with virtual objects through intuitive gestures, enriching their immersive experiences. Software development entails carrying out sophisticated gesture recognition algorithms and the assignment of specific actions to these gestures, such as grasping, rotating, and resizing 3D models. These interactions mirror real-world manipulations, emp

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Labhane, Nishant M., Prashant Harsh, and Meghan Kulkarni. "Multipoint Hand Gesture Recognition For Controlling Bot." International Journal of Scientific Research 1, no. 1 (2012): 46–48. http://dx.doi.org/10.15373/22778179/jun2012/16.

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Monisha Sampath, PriyadarshiniVelraj, Vaishnavii Raghavendran, and M Sumithra. "Controlling media player using hand gestures with VLC media player." World Journal of Advanced Research and Reviews 14, no. 3 (2022): 466–72. http://dx.doi.org/10.30574/wjarr.2022.14.3.0565.

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In today's international, anyone opts for instant interaction with complicated structures that ensure a brief response. Thus, with increasing improvement in technology, reaction time and ease of operations are the issues. Here is where human-computer interaction comes into play. This interplay is unrestricted and challenges the used gadgets consisting of the keyboard and mouse for input. Gesture recognition has been gaining tons of attention. Gestures are instinctive and are often utilized in everyday interactions. Therefore, communicating using gestures with computer systems creates an entire

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Monisha, Sampath, PriyadarshiniVelraj, Raghavendran Vaishnavii, and Sumithra M. "Controlling media player using hand gestures with VLC media player." World Journal of Advanced Research and Reviews 14, no. 3 (2022): 466–72. https://doi.org/10.5281/zenodo.7731775.

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In today's international, anyone opts for instant interaction with complicated structures that ensure a brief response. Thus, with increasing improvement in technology, reaction time and ease of operations are the issues. Here is where human-computer interaction comes into play. This interplay is unrestricted and challenges the used gadgets consisting of the keyboard and mouse for input. Gesture recognition has been gaining tons of attention. Gestures are instinctive and are often utilized in everyday interactions. Therefore, communicating using gestures with computer systems creates an en

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Patil, Omkar, Shreyash Patil, Nikhil Shingade, and Ashish Katkar. "Virtual Mouse System using Hand Gesture recognition with Open CV." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem27906.

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The use of hand gesture recognition for controlling virtual devices has gained popularity with the advancement of artificial intelligence technology. In this paper, we propose a hand gesture-controlled virtual mouse system that employs AI algorithms to identify and interpret hand gestures, translating them into mouse movements. The primary objective of this system is to provide an alternative interface, particularly beneficial for individuals facing challenges with traditional mouse or keyboard usage.Our proposed system utilizes a camera to capture images of the user's hand. To enable gesture

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Holder, Sherrie, and Leia Stirling. "Effect of Gesture Interface Mapping on Controlling a Multi-degree-of-freedom Robotic Arm in a Complex Environment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 183–87. http://dx.doi.org/10.1177/1071181320641045.

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There are many robotic scenarios that require real-time function in large or unconstrained environments, for example, the robotic arm on the International Space Station (ISS). Use of fully-wearable gesture control systems are well-suited to human-robot interaction scenarios where users are mobile and must have hands free. A human study examined operation of a simulated ISS robotic arm using three different gesture input mappings compared to the traditional joystick interface. Two gesture mappings permitted multiple simultaneous inputs (multi-input), while the third was a single-input method. E

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Congdon, Eliza L., and Susan C. Levine. "Unlocking the Power of Gesture: Using Movement-Based Instruction to Improve First Grade Children’s Spatial Unit Misconceptions." Journal of Intelligence 11, no. 10 (2023): 200. http://dx.doi.org/10.3390/jintelligence11100200.

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Gestures are hand movements that are produced simultaneously with spoken language and can supplement it by representing semantic information, emphasizing important points, or showing spatial locations and relations. Gestures’ specific features make them a promising tool to improve spatial thinking. Yet, there is recent work showing that not all learners benefit equally from gesture instruction and that this may be driven, in part, by children’s difficulty understanding what an instructor’s gesture is intended to represent. The current study directly compares instruction with gestures to instru

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Lorang, Emily, Audra Sterling, and Bianca Schroeder. "Maternal Responsiveness to Gestures in Children With Down Syndrome." American Journal of Speech-Language Pathology 27, no. 3 (2018): 1018–29. http://dx.doi.org/10.1044/2018_ajslp-17-0138.

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Purpose This study compared gesture use in young children with Down syndrome (DS) and typical development (TD) as well as how mothers respond to child gestures based on child age and diagnosis. Method Twenty-two mother–child dyads with DS and 22 mother–child dyads with TD participated. The child participants were between 22 and 63 months and were matched on chronological age. We coded child gesture use and whether mothers recoded child gestures (i.e., provided a verbal translation) during naturalistic interactions. Results The children with DS used more gestures than peers with TD. After contr

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Yu, Hengcheng, and Zhengyu Chen. "Research on contactless control of elevator based on machine vision." Highlights in Science, Engineering and Technology 7 (August 3, 2022): 89–94. http://dx.doi.org/10.54097/hset.v7i.1022.

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Aiming at the problem of cross-infection caused by elevator public buttons during the COVID-19 epidemic, a non-contact elevator button control gesture recognition system based on machine vision is designed. In order to improve the detection speed of gesture recognition, combined with the Spatial Pyramid Pooling (SPP) and replaced the Backbone in YOLOv5 with the lightweight model ShuffleNetV2, an improved YOLOv5_shff algorithm was proposed. After testing, in the task of recognizing gestures, the detection speed of the YOLOv5_shff algorithm is 14% higher than the original model, and the detectio

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Sara, Meghana. "Gesture Controlled Robot for the Disabled using Arduino." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5446–49. http://dx.doi.org/10.22214/ijraset.2024.61159.

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Abstract: The gesture-controlled robot project presents a novel approach to human-robot interaction, utilizing hand gestures as an intuitive and natural means of control. This project aims to develop a system where users can seamlessly communicate with a robot using simple hand movements. The project consists of two main components: a handheld device for gesture input and a robot equipped with sensors and actuators for movement. Through wireless communication, the handheld device transmits signals encoding the user's hand gestures to the robot's receiver module, which decodes the signals, proc

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Valle, Chelsea La, Karen Chenausky, and Helen Tager-Flusberg. "How do minimally verbal children and adolescents with autism spectrum disorder use communicative gestures to complement their spoken language abilities?" Autism & Developmental Language Impairments 6 (January 2021): 239694152110350. http://dx.doi.org/10.1177/23969415211035065.

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Background and aims Prior work has examined how children and adolescents with autism spectrum disorder who are minimally verbal use their spoken language abilities during interactions with others. However, social communication includes other aspects beyond speech. To our knowledge, no studies have examined how minimally verbal children and adolescents with autism spectrum disorder are using their gestural communication during social interactions. Such work can provide important insights into how gestures may complement their spoken language abilities. Methods Fifty minimally verbal children an

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Nafde,, Dr Yogita. "HAND GESTURE CONTROLLED WHEEL CHAIR." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30894.

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The project for controlling wheelchairs through gestures offers a complete solution to enhance the mobility and independence of individuals with limited motor abilities using an intuitive gesture control system. This system incorporates essential elements, such as an Arduino Nano microcontroller, MPU (Motion Processing Unit), NRF wireless communication module, 775 DC motors, and a motor driver, to allow for smooth and responsive wheelchair operation.

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KALLIO, SANNA, JUHA KELA, PANU KORPIPÄÄ, and JANI MÄNTYJÄRVI. "USER INDEPENDENT GESTURE INTERACTION FOR SMALL HANDHELD DEVICES." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 04 (2006): 505–24. http://dx.doi.org/10.1142/s0218001406004776.

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Accelerometer-based gesture recognition facilitates a complementary interaction modality for controlling mobile devices and home appliances. Using gestures for the task of home appliance control requires use of the same device and gestures by different persons, i.e. user independent gesture recognition. The practical application in small embedded low-resource devices also requires high computational performance. The user independent gesture recognition accuracy was evaluated with a set of eight gestures and seven users, with a total of 1120 gestures in the dataset. Twenty-state continuous HMM

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Mahna, Shivanku, Ketan Sethi, and Sravan Ch. "Controlling Mouse using Hand Gesture Recognition." International Journal of Computer Applications 113, no. 5 (2015): 1–4. http://dx.doi.org/10.5120/19819-1652.

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Purushothaman, Amritha, and Suja Palaniswamy. "Development of Smart Home Using Gesture Recognition for Elderly and Disabled." Journal of Computational and Theoretical Nanoscience 17, no. 1 (2020): 177–81. http://dx.doi.org/10.1166/jctn.2020.8647.

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Smart home has gained popularity not only as a luxury but also due to the numerous advantages. It is especially useful for senior citizens and children with disabilities. In this work, home automation is achieved using gesture for controlling appliances. Gesture recognition is an area in which lot of research and innovations are blooming. This paper discusses the development of a wearable device which captures hand gestures. The wearable device uses accelerometer and gyroscopes to sense and capture tilting, rotation and acceleration of the hand movement. Four different hand gestures are captur

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Anklesh G, Akash V, Prithivi Sakthi B, and Kanthimathi.M. "Hand Gesture Recognition for Video Player." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 04 (2024): 801–5. http://dx.doi.org/10.47392/irjaeh.2024.0112.

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Hand Gesture Recognition (HGR) is an emerging technology that has numerous applications in various fields, including human-computer interaction and robotics. In this project, we developed a Hand Gesture Recognition system for video players that recognize hand gestures and perform actions such as play, pause, rewind, and fast-forward. The system was developed using Python programming language and the OpenCV, mediapipe, pyautogui libraries. A dataset of hand gestures was created by recording videos using a webcam and annotating the frames with corresponding labels. The Hand Gesture Recognition s

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Huu, Phat Nguyen, and Tan Phung Ngoc. "Hand Gesture Recognition Algorithm Using SVM and HOG Model for Control of Robotic System." Journal of Robotics 2021 (June 16, 2021): 1–13. http://dx.doi.org/10.1155/2021/3986497.

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In this study, we propose the gesture recognition algorithm using support vector machines (SVM) and histogram of oriented gradient (HOG). Besides, we also use the CNN model to classify gestures. We approach and select techniques of applying problem controlling for the robotic system. The goal of the algorithm is to detect gestures with real-time processing speed, minimize interference, and reduce the ability to capture unintentional gestures. Static gesture controls are used in this study including on, off, increasing, and decreasing. Besides, it uses motion gestures including turning on the s

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Lu, Cong, Haoyang Zhang, Yu Pei, et al. "Online Hand Gesture Detection and Recognition for UAV Motion Planning." Machines 11, no. 2 (2023): 210. http://dx.doi.org/10.3390/machines11020210.

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Recent advances in hand gesture recognition have produced more natural and intuitive methods of controlling unmanned aerial vehicles (UAVs). However, in unknown and cluttered environments, UAV motion planning requires the assistance of hand gesture interaction in complex flight tasks, which remains a significant challenge. In this paper, a novel framework based on hand gesture interaction is proposed, to support efficient and robust UAV flight. A cascading structure, which includes Gaussian Native Bayes (GNB) and Random Forest (RF), was designed, to classify hand gestures based on the Six Degr

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Sharma, Naina, Vaishali Nirgude, Tanya Shah, Chirag Bhagat, Amithesh Gupta, and Yash Gupta. "GESTURE RECOGNITION FOR TOUCH-FREE PC CONTROL USING A NEURAL NETWORK APPROACH." ICTACT Journal on Data Science and Machine Learning 5, no. 4 (2024): 690–97. https://doi.org/10.21917/ijdsml.2024.0142.

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In the pursuit of advancing the field of touch-free human-computer interaction, this paper is focused on developing a gesture enabled PC control system that aims for enhancing user engagement and providing intuitive and flexible control methods, across various applications, particularly those benefiting individuals with mobility impairments. This system has expanding potential use in virtual and augmented reality environments. This study describes a unique method for temporal gesture identification that employs gesture kinematics for feature extraction and classification. Real-time hand tracki

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RAUTARAY, SIDDHARTH S., and ANUPAM AGRAWAL. "VISION-BASED APPLICATION-ADAPTIVE HAND GESTURE RECOGNITION SYSTEM." International Journal of Information Acquisition 09, no. 01 (2013): 1350007. http://dx.doi.org/10.1142/s0219878913500071.

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With the increasing role of computing devices, facilitating natural human computer interaction (HCI) will have a positive impact on their usage and acceptance as a whole. For long time, research on HCI has been restricted to techniques based on the use of keyboard, mouse, etc. Recently, this paradigm has changed. Techniques such as vision, sound, speech recognition allow for much richer form of interaction between the user and machine. The emphasis is to provide a natural form of interface for interaction. Gestures are one of the natural forms of interaction between humans. As gesture commands

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Thorat, Sakshi. "HCI Based Virtual Controlling System." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 630–35. http://dx.doi.org/10.22214/ijraset.2022.43645.

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Abstract: Researchers around the globe are working on making our devices more interactive and making them function with minimal physical contact in this research project. The proposed system is an interactive computer system that can operate without a physical keyboard or mouse. This system will benefit everyone, particularly immobilized people with special needs operating a physical keyboard and mouse. So in the system, they have developed an interface that uses visual hand-gesture analysis. These gestures are used to assist those who are having trouble controlling or operating computers or g

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Chamunorwa, Michael, Mikolaj P. Wozniak, Susanna Krämer, Heiko Müller, and Susanne Boll. "An Empirical Comparison of Moderated and Unmoderated Gesture Elicitation Studies on Soft Surfaces and Objects for Smart Home Control." Proceedings of the ACM on Human-Computer Interaction 7, MHCI (2023): 1–24. http://dx.doi.org/10.1145/3604245.

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Conducting gesture elicitation studies (GES) in personal spaces such as smart homes is crucial to achieving high ecological validity of elicited gestures. However, supervising such studies is considered intrusive and negatively affects the results' quality. The alternative is to conduct unsupervised GES under similar conditions, but more side-by-side comparisons documenting the similarities and differences between both approaches are necessary. Consequently, we need more data describing the preferred approach and whether the differences or similarities in the results are so significant to caus

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Narayanpethkar, Sangamesh. "Computer Vision based Media Control using Hand Gestures." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 6642–46. http://dx.doi.org/10.22214/ijraset.2023.52881.

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Abstract: Hand gestures are a form of nonverbal communication that can be used in several fields such as communication between deaf-mute people, robot control, human–computer interaction (HCI), home automation and medical applications. At this time and age, working with a computer in some capacity is a common task. In most situations, the keyboard and mouse are the primary input devices. However, there are several problems associated with excessive usage of the same interaction medium, such as health problems brought on by continuous use of input devices, etc. Humans basically communicate usin

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Veena, Ms B. "Convolutional Neural Network for Hand Gesture Recognition using 8 different Gestures." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42394.

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This paper describes the implementation of hand gesture recognition which uses deep learning algorithm as CNN. Therefore, proposed technique is hassle free as control is not based on joysticks or switches. There are eight conditions considered for hand gesture as up, stop , right, No ,Left ,Down, clockwise and anticlockwise. There are many researchers worked on this area using different sensors, machine learning algorithms and deep learning algorithms. Limitations of the state of art techniques are studied in this paper and designed a new modified convolutional neural network (CNN) for gesture

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Mwangi, Gerald Gitau, Job Mochengo Kerosi, and Ben Asiago Moywaywa. "Gesture-Driven Home Automation System." IOSR Journal of Electrical and Electronics Engineering 19, no. 6 (2024): 10–15. http://dx.doi.org/10.9790/0853-1906011015.

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This project addresses the critical challenge of making home automation accessible and inclusive for individuals with physical disabilities and visual impairments. Existing home automation methods, such as voice control, mobile apps, and timers, exhibit shortcomings that hinder their effectiveness for this demographic. To overcome these limitations, the project shows the development of a gesture-based home automation system. This system integrates gesture recognition and security functionality. It operates in two stages: user authentication through face recognition and gesture-based appliance

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Chye, Kah Kien, Zi Yuan Ong, Jun Kit Chaw, Mei Choo Ang, Marizuana Mat Daud, and Tin Tin Ting. "GESTURE RECOGNITION FOR INTERACTIVE DASHBOARD: A 3D CONVOLUTIONAL NEURAL NETWORKS WITH LONG-SHORT-TERM-MEMORY APPROACH." Journal of Information System and Technology Management 8, no. 32 (2023): 36–52. http://dx.doi.org/10.35631/jistm.832003.

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Gesture recognition technology has become increasingly popular in various fields due to its potential for controlling consumer devices, robotics, and even translating sign language. However, there is still a lack of practical applications in daily life, especially for consumer products. Previous studies primarily focused on gesture recognition and did not delve into exploring the potential applications of gesture recognition in human interaction. This work aims to address this gap by deploying a gesture recognition model into practical applications and exploring its potential in human interact

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Shahil, Mohammed. "GestoMouse: A Real-Time Gesture-Controlled Virtual Mouse System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49415.

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1.ABSTRACT The use of hand gesture recognition in controlling virtual devices has become popular due to the advancement of artificial intelligence technology. A hand gesture-controlled virtual mouse system that utilizes AI algorithms to recognize hand gestures and translate them into mouse movements is proposed in this paper. The system is designed to provide an alternative interface for people who have difficulty using a traditional mouse or keyboard. The proposed system uses a camera to capture images of the user’s hand, which are processed by an AI algorithm to recognize the gestures being

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Tawfeeq, Mohammed, and Ayam Abbass. "Control of Robot Directions Based on Online Hand Gestures." Iraqi Journal for Electrical and Electronic Engineering 14, no. 1 (2018): 41–50. http://dx.doi.org/10.37917/ijeee.14.1.5.

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The evolution of wireless communication technology increases human machine interaction capabilities especially in controlling robotic systems. This paper introduces an effective wireless system in controlling the directions of a wheeled robot based on online hand gestures. The hand gesture images are captured and processed to be recognized and classified using neural network (NN). The NN is trained using extracted features to distinguish five different gestures; accordingly it produces five different signals. These signals are transmitted to control the directions of the cited robot. The main

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Yaseen, Oh-Jin Kwon, Jaeho Kim, Jinhee Lee, and Faiz Ullah. "Vision-Based Gesture-Driven Drone Control in a Metaverse-Inspired 3D Simulation Environment." Drones 9, no. 2 (2025): 92. https://doi.org/10.3390/drones9020092.

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Unlike traditional remote control systems for controlling unmanned aerial vehicles (UAVs) and drones, active research is being carried out in the domain of vision-based hand gesture recognition systems for drone control. However, contrary to static and sensor based hand gesture recognition, recognizing dynamic hand gestures is challenging due to the complex nature of multi-dimensional hand gesture data, present in 2D images. In a real-time application scenario, performance and safety is crucial. Therefore we propose a hybrid lightweight dynamic hand gesture recognition system and a 3D simulato

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Vignesh, Selvaraj Nadar, Shubhra Sinha Vaishnavi, and Umesh Ratre Sushila. "Smart Home Automation using Hand Gesture Recognition System." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 2 (2019): 18–21. https://doi.org/10.35940/ijeat.B3055.129219.

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Visual interpretation of hand gestures is a natural method of achieving Human-Computer Interaction (HCI). In this paper, we present an approach to setting up of a smart home where the appliances can be controlled by an implementation of a Hand Gesture Recognition System. More specifically, this recognition system uses Transfer learning, which is a technique of Machine Learning, to successfully distinguish between pre-trained gestures and identify them properly to control the appliances. The gestures are sequentially identified as commands which are used to actuate the appliances. The proof of

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Yang, Yuchen. "Dynamic gesture recognition based on compressed video for UAV control." Journal of Physics: Conference Series 2580, no. 1 (2023): 012021. http://dx.doi.org/10.1088/1742-6596/2580/1/012021.

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Abstract As a multifunctional aircraft with small size, low cost and easy control, UAVs can be used in many fields such as gardening, plant protection, mapping, logistics, military, etc. For a more convenient human-machine interaction mode, the user interacts with the UAVs in the form of dynamic gestures. The current traditional approach is to train convolutional neural networks with images as direct inputs to the system for the purpose of controlling UAVs. However, this approach leaves the temporal representation information between images missing, resulting in poor training results or over-r

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Moldovan, Constantin Catalin, and Ionel Staretu. "Real-Time Gesture Recognition for Controlling a Virtual Hand." Advanced Materials Research 463-464 (February 2012): 1147–50. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1147.

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Object tracking in three dimensional environments is an area of research that has attracted a lot of attention lately, for its potential regarding the interaction between man and machine. Hand gesture detection and recognition, in real time, from video stream, plays a significant role in the human-computer interaction and, on the current digital image processing applications, this represent a difficult task. This paper aims to present a new method for human hand control in virtual environments, by eliminating the need of an external device currently used for hand motion capture and digitizatio

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S., Selvakumar. "A Gesture Based Interface for Robot Interaction and Control." Journal of Signal Processing 4, no. 3 (2018): 33–38. https://doi.org/10.5281/zenodo.2222243.

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Motion acknowledgment, it is an innovation which is gone for translating human motions with the assistance of numerical calculations. When all is said in done, buyer electronic gear utilize remote control for UIs. By supplanting the remote control framework with hand signals is an imaginative UI that settle the entanglements in the utilization of remote control for residential supplies. The proposed model manages utilizing hand motion to play out the essential controls in robot movement controlling. This kind of UI utilizing signal has focal points of straightforward entry and human machine co

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Gentilucci, Maurizio, Elisa De Stefani, and Alessandro Innocenti. "From Gesture to Speech." Biolinguistics 6, no. 3-4 (2012): 338–53. http://dx.doi.org/10.5964/bioling.8925.

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One of the major problems concerning the evolution of human language is to understand how sounds became associated to meaningful gestures. It has been proposed that the circuit controlling gestures and speech evolved from a circuit involved in the control of arm and mouth movements related to ingestion. This circuit contributed to the evolution of spoken language, moving from a system of communication based on arm gestures. The discovery of the mirror neurons has provided strong support for the gestural theory of speech origin because they offer a natural substrate for the embodiment of langua

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Barrett, Anna M., Anne L. Foundas, and Kenneth M. Heilman. "Speech and gesture are mediated by independent systems." Behavioral and Brain Sciences 28, no. 2 (2005): 125–26. http://dx.doi.org/10.1017/s0140525x05220034.

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Arbib suggests that language emerged in direct relation to manual gestural communication, that Broca's area participates in producing and imitating gestures, and that emotional facial expressions contributed to gesture-language coevolution. We discuss functional and structural evidence supporting localization of the neuronal modules controlling limb praxis, speech and language, and emotional communication. Current evidence supports completely independent limb praxis and speech/language systems.

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Fuad, Muhammad, Faikul Umam, Sri Wahyuni, et al. "Towards Controlling Mobile Robot Using Upper Human Body Gesture Based on Convolutional Neural Network." Journal of Robotics and Control (JRC) 4, no. 6 (2023): 856–67. http://dx.doi.org/10.18196/jrc.v4i6.20399.

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Human-Robot Interaction (HRI) has challenges in investigation of a nonverbal and natural interaction. This study contributes to developing a gesture recognition system capable of recognizing the entire human upper body for HRI, which has never been done in previous research. Preprocessing is applied to improve image quality, reduce noise and highlight important features of each image, including color segmentation, thresholding and resizing. The hue, saturation, value (HSV) color segmentation is executed by utilizing blue color backdrop and additional lighting to deal with illumination issue. T

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Rana, Harsh Ganpatbhai, and Aayushi Sanjay Soni. "An IoT based Game Controlling Device (JoyGlove)." International Journal on Recent and Innovation Trends in Computing and Communication 8, no. 4 (2020): 09–11. http://dx.doi.org/10.17762/ijritcc.v8i4.5366.

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Nowadays, there is a huge inclination of youngsters and adults towards video games and of course in our childhood everyone might definitely have experienced it. However, we are controlling the game using typical input devices such as mouse, keyboard, joystick, etc but how about, if we control the game using our hand gestures ? These days we have lots of game controllers that are surpassing the gaming experience however they are quite expensive too. Through this project we have designed our own game controlling glove using Arduino. In addition we have also developed a car game using UNITY 3D. T

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Yang, Geng, Honghao Lv, Feiyu Chen, et al. "A Novel Gesture Recognition System for Intelligent Interaction with a Nursing-Care Assistant Robot." Applied Sciences 8, no. 12 (2018): 2349. http://dx.doi.org/10.3390/app8122349.

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The expansion of nursing-care assistant robots in smart infrastructure has provided more applications for homecare services, which has raised new demands for smart and natural interaction between humans and robots. This article proposed an innovative hand motion trajectory (HMT) gesture recognition system based on background velocity features. Here, a new wearable wrist-worn camera prototype for gesture’s video collection was designed, and a new method for the segmentation of continuous gestures was shown. Meanwhile, a nursing-care assistant robot prototype was designed for assisting the elder

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Oppenheim, Matthew. "HeadBanger: controlling switchable software with head gesture." Journal of Assistive Technologies 10, no. 1 (2016): 2–10. http://dx.doi.org/10.1108/jat-04-2015-0015.

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Purpose – The purpose of this paper is to present a novel non-contact method of using head movement to control software without the need for wearable devices. Design/methodology/approach – A webcam and software are used to track head position. When the head is moved through a virtual target, a keystroke is simulated. The system was assessed by participants with impaired mobility using Sensory Software’s Grid 2 software as a test platform. Findings – The target user group could effectively use this system to interact with switchable software. Practical implications – Physical head switches coul

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D.B., GOROKHOV, and KUZNETSOVA V.S. "GESTURE APPROACH TO CONTROLLING AUGMENTED REALITY OBJECTS." Issues of Social-Economic development of Siberia 58, no. 4 (2024): 39–45. https://doi.org/10.18324/2224-1833-2024-3-39-45.

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Shukla, Anita, Ankit Jain, Prajjwal Mishra, and Rahul Kushwaha. "Human Gesture Controlled Car Robot." SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology 11, no. 02 (2019): 115–22. http://dx.doi.org/10.18090/samriddhi.v11i02.5.

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In present era of development and growth, the technology has made possible for people to operate electronic devices more conveniently. Now we are able to operate machines without giving it a touch with the help of technology called Hand Gesture Recognition. Here we have devised a gesture controlled car robot which uses PIC16F738 microcontroller and accelerometer to achieve human computer interaction. In this paper we deal with development and implementation of wireless and an accelerometer based hand gesture controlled car robot using RF transmitter and receiver. Transmitter detects the moveme

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ZAMMIT, MARIA, and GRAHAM SCHAFER. "Maternal label and gesture use affects acquisition of specific object names." Journal of Child Language 38, no. 1 (2010): 201–21. http://dx.doi.org/10.1017/s0305000909990328.

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ABSTRACTTen mothers were observed prospectively, interacting with their infants aged 0 ; 10 in two contexts (picture description and noun description). Maternal communicative behaviours were coded for volubility, gestural production and labelling style. Verbal labelling events were categorized into three exclusive categories: label only; label plus deictic gesture; label plus iconic gesture. We evaluated the predictive relations between maternal communicative style and children's subsequent acquisition of ten target nouns. Strong relations were observed between maternal communicative style and

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