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72 articles for “gesture recognition”
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AI Virtual Gesture PC Control
Abstract: In our research, we proposed an interactive computer system that can function without a physical keyboard, volume control, or mouse. This system can benefit everyone, especially paralysed people who struggle to use a physical keyboard, volume control, and mouse. We used computer vision to allow the user to type on a virtual keyboard with his fingertip and navigate to the mouse control system. Hand gesture recognition system acknowledged great attention …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 1, 2022 · pp. 20–25 Read article
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Arduino Empowered: Smart Glove Review and Analysis
Abstract: In recent years, there has been a growing interest in wearable technology, particularly in the realm of human-computer interaction (HCI). Smart gloves, equipped with various sensors and actuators, have emerged as a promising interface for facilitating seamless interaction between humans and digital devices. This paper presents the development of Arduino-based smart gloves designed to augment conventional HCI methods by incorporating gesture recognition and tactile feedback capabilities. The smart gloves feature …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article
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Facial Emotion Recognition Using CNN and OpenCV: A Review
Abstract: Emotion Recognition Using a Facial Feature Recognition is a prominent area of study in the world of Human Computer Interaction (HCI). Humans may express a wide range of emotions and moods through facial movements and body language. In this project, in order to detect the live emotions from the human facial gesture, we will be using an algorithm that allows the computer to automatically detect the facial recognition of human …
Published in Journal of Open Source Developments · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article
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Hand Gestured Controlled Vehicle
Abstract: Considering the whole subject to non-automatic (or ‘by-hand’) manipulation by the user, we identify understandable real-world objects as showing different whole position dynamics, justifying an analysis of these three categories. The orientation dynamics as ‘gestures’ in an abstract sense, and presents a general framework for orientation sensor based gesture recognition. A core component of the framework is a gesture library that is hand gestures that are manipulated occasionally. Use of …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 1, 2018 · pp. 22–24 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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OpenCV, AI, and Haar Cascade File: A Review
Abstract: Real-time image processing applications using OpenCV encompass a diverse and crucial array of tasks in modern technology. OpenCV's robust capabilities enable the implementation of object detection and tracking, which are vital for surveillance systems to monitor and analyze activities in real time. In the realm of security, face recognition technology, powered by OpenCV, provides accurate and efficient identification and authentication, enhancing safety measures. Gesture recognition, another significant application, facilitates intuitive …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 39–46 Read article
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Hand Gesture Detections Using a Force Myography-Based on Wearable Wrist Strap
Abstract: We are familiar with gestures as a nonverbal form of communication and often use it during heated discussions. In this digital word of human-machine interactions, hand gesture is emerged as promising method of interaction. For this interactions, developing a control system for sensing hand gestures would be a primary objective. In this research paper we will be discussing one of such simple yet efficient hand grip and gesture detection method …
Published in Current Trends in Signal Processing · Vol. 11, Issue 2, 2021 · pp. 1–9 Read article
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Gesture Controlled Chair
Abstract: The Gesture Controlled Chair is a state-of-the-art assistive device that allows users to control the movements of their wheelchair with ease and efficiency using hand gestures. The existing technologies for controlling wheelchairs have been manual controls that require a certain level of physical strength, making them less suitable for elderly patients or those with physical disabilities. In this regard, a gesture-controlled interface was introduced as an alternative to the existing …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Windows Operating System’s Volume Controller Using Hand Gestures
Abstract: In this study, we develop volume controller in which we use hand gesture as input to control system. OpenCV module is basically used in this implementation for gesture control. Basically, this system uses the web camera to record or take pictures/videos, and the app controls the system volume based on the input. The primary purpose is to modify the system volume. Hand gestures can control basic computer tasks, such as …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 3, 2022 · pp. 15–21 Read article
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A Study of Hand Gesture Identification with Convolution Neural Network
Abstract: Human-Computer Interaction is the study of how the people interact with machine. Hand gesture technology is active research in computer vision and machine learning. Hand gesture recognition is used enormously in the recent years for Human Computer Interaction (HCI). In this research work, we study about hand gesture identification with machine learning technique. Basically implementation of hand gesture identification has three phases: Preprocessing, Feature extraction, and Classification. This study includes …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 30–34 Read article
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Human Drone Natural Interaction
Abstract: The necessity for user-friendly and intuitive control systems has been brought to light by the growing use of drones in a variety of businesses and by the general public. However, existing drone piloting techniques frequently need intricate manual manoeuvres and technical know-how, creating difficulties for novice and inexperienced pilots. The main goal of this effort is to create a ground control unit (GCU) that, instead of using a traditional radio …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 2, 2023 · pp. 10–20 Read article
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Mouse-less Interaction Using Augmented Reality
Abstract: This project aims to revolutionize computer interaction in augmented reality environments by developing a mouse-less system operated by fingers in the air. The conventional use of physical mouse restricts user movement and immersion in virtual environments. The project's primary objectives revolve around tackling issues related to precision, response time, the identification of gestures, and the seamless integration of augmented reality. The proposed solution involves selecting appropriate motion tracking technologies and …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 2, 2023 · pp. 24–35 Read article
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Real-Time Sign Language to Speech Conversion Glove Using Arduino and Wearable Sensors
Abstract: This research work presents the design and development of a low-cost, wearable glove system for real- time sign language to speech conversion. The system employs an Arduino microcontroller integrated with flex sensors and an accelerometer to accurately detect hand gestures. The system translates hand gestures into audible speech through Bluetooth communication, enabling seamless interaction for hearing-impaired individuals. By converting sign language into speech in real-time, it significantly enhances communication accessibility …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
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Graphene-Based Electronic Skin for Wearable Health Monitoring and Human–Machine Interaction, Materials, Structures, and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 175–180 Read article
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Human Mouse Based on MEMS
Abstract: The increase in human machine communications in our daily lives has made user crossing point technology with time more important. Physical gesticulations as intuitive terminologies will greatly ease the communication process and empower humans to more naturally grasp computer or machines. Gesture recognition has been a research area which established much courtesy from many research communities such as human computer interaction and image processing.
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 3, 2015 · pp. 8–15 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Real Time Hand Gesture Control Wireless System with ANN
Abstract: AbstractThis paper presents a low cost, wireless, embedded system which recognizes the hand gesture of user by decoding acceleration signal. Main aim of designing this system is to sense the movement of user hand and use it to control the electronic applications like movement of cursor on screen which is useful for gamming. In this paper, by using wireless and accelerometer technology, we developed an advanced HCI (Human computer Interface). …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 1–5 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article