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Hanif Fakhrurroja,Carmadi Machbub,Ary Setijadi Prihatmanto,Ayu Purwarianti
Pág. pp. 44 - 67
This paper proposes a way to control home appliances using a multimodal interaction system such as speech, gestures, and smartphone applications. The sensor to capture speech, in the Indonesian language, and gestures from users are Kinect v2. Speech reco...
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Xiao Xu, Xuehan Zhang, Zhongxu Bao, Xiaojie Yu, Yuqing Yin, Xu Yang and Qiang Niu
Hand gesture recognition is an essential Human?Computer Interaction (HCI) mechanism for users to control smart devices. While traditional device-based methods support acceptable recognition performance, the recent advance in wireless sensing could enable...
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Xinyu Zhang and Xiaoqiang Li
In recent years, gesture recognition has been used in many fields, such as games, robotics and sign language recognition. Human computer interaction (HCI) has been significantly improved by the development of gesture recognition, and now gesture recognit...
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Jih-Ching Chiu, Guan-Yi Lee, Chih-Yang Hsieh and Qing-You Lin
In computer vision and image processing, the shift from traditional cameras to emerging sensing tools, such as gesture recognition and object detection, addresses privacy concerns. This study navigates the Integrated Sensing and Communication (ISAC) era,...
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Wensheng Chen, Yinxi Niu, Zhenhua Gan, Baoping Xiong and Shan Huang
Enhancing information representation in electromyography (EMG) signals is pivotal for interpreting human movement intentions. Traditional methods often concentrate on specific aspects of EMG signals, such as the time or frequency domains, while overlooki...
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Rubén E. Nogales and Marco E. Benalcázar
Gesture recognition is widely used to express emotions or to communicate with other people or machines. Hand gesture recognition is a problem of great interest to researchers because it is a high-dimensional pattern recognition problem. The high dimensio...
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Ahmed Eid and Friedhelm Schwenker
Hand gestures are an essential part of human-to-human communication and interaction and, therefore, of technical applications. The aim is increasingly to achieve interaction between humans and computers that is as natural as possible, for example, by mea...
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Mahmoud Elmezain, Majed M. Alwateer, Rasha El-Agamy, Elsayed Atlam and Hani M. Ibrahim
Automatic key gesture detection and recognition are difficult tasks in Human?Computer Interaction due to the need to spot the start and the end points of the gesture of interest. By integrating Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs),...
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Noelia Vaquero-Gallardo and Herminio Martínez-García
Electrical impedance tomography (EIT) is based on the physical principle of bioimpedance defined as the opposition that biological tissues exhibit to the flow of a rotating alternating electrical current. Consequently, here, we propose studying the chara...
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Bashar Saadoon Mahdi, Mustafa Jasim Hadi and Ayad Rodhan Abbas
Computer security depends mainly on passwords to protect human users from attackers. Therefore, manual and alphanumerical passwords are the most frequent type of computer authentication. However, creating these passwords has significant drawbacks. For ex...
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Yancong Zhu, Juan Zhang, Zhaoxi Zhang, Gina Clepper, Jingpeng Jia and Wei Liu
Developing a smart classroom can make the modern classroom more efficient and intelligent. Much research has been conducted pertaining to smart classrooms for hearing-impaired college students. However, there have been few significant breakthroughs in mo...
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Angela C. Caliwag, Han-Jeong Hwang, Sang-Ho Kim and Wansu Lim
Sign language aids in overcoming the communication barrier between hearing-impaired individuals and those with normal hearing. However, not all individuals with normal hearing are skilled at using sign language. Consequently, deaf and hearing-impaired in...
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Ayanabha Jana and Shridevi S. Krishnakumar
The proposed research deals with constructing a sign gesture recognition system to enable improved interaction between sign and non-sign users. With respect to this goal, five types of features are utilized?hand coordinates, convolutional features, convo...
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Hiroomi Hikawa, Yuta Ichikawa, Hidetaka Ito and Yutaka Maeda
Human?computer interface.
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Ngoc-Hoang Nguyen, Tran-Dac-Thinh Phan, Soo-Hyung Kim, Hyung-Jeong Yang and Guee-Sang Lee
This paper presents a novel approach to continuous dynamic hand gesture recognition. Our approach contains two main modules: gesture spotting and gesture classification. Firstly, the gesture spotting module pre-segments the video sequence with continuous...
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Xue Zhao, Ye He, Xiaoan Chen and Zhi Liu
With the development of the global economy, the demand for manufacturing is increasing. Accordingly, human?robot collaborative assembly has become a research hotspot. This paper aims to solve the efficiency problems inherent in traditional human-machine ...
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Yen-Cheng Chu, Yun-Jie Jhang, Tsung-Ming Tai and Wen-Jyi Hwang
The objective of this study is to present novel neural network (NN) algorithms and systems for sensor-based hand gesture recognition. The algorithms are able to classify accurately a sequence of hand gestures from the sensory data produced by acceleromet...
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Dinh-Son Tran, Ngoc-Huynh Ho, Hyung-Jeong Yang, Eu-Tteum Baek, Soo-Hyung Kim and Gueesang Lee
Using hand gestures is a natural method of interaction between humans and computers. We use gestures to express meaning and thoughts in our everyday conversations. Gesture-based interfaces are used in many applications in a variety of fields, such as sma...
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Akm Ashiquzzaman, Hyunmin Lee, Kwangki Kim, Hye-Young Kim, Jaehyung Park and Jinsul Kim
Current deep learning convolutional neural network (DCNN) -based hand gesture detectors with acute precision demand incredibly high-performance computing power. Although DCNN-based detectors are capable of accurate classification, the sheer computing pow...
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Marco E. Benalcázar, Ángel Leonardo Valdivieso Caraguay and Lorena Isabel Barona López
Hand gesture recognition systems have several applications including medicine and engineering. A gesture recognition system should identify the class, time, and duration of a gesture executed by a user. Gesture recognition systems based on electromyograp...
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