• Title/Summary/Keyword: Hands Gesture

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Development of a Hand~posture Recognition System Using 3D Hand Model (3차원 손 모델을 이용한 비전 기반 손 모양 인식기의 개발)

  • Jang, Hyo-Young;Bien, Zeung-Nam
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.219-221
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    • 2007
  • Recent changes to ubiquitous computing requires more natural human-computer(HCI) interfaces that provide high information accessibility. Hand-gesture, i.e., gestures performed by one 'or two hands, is emerging as a viable technology to complement or replace conventional HCI technology. This paper deals with hand-posture recognition. Hand-posture database construction is important in hand-posture recognition. Human hand is composed of 27 bones and the movement of each joint is modeled by 23 degrees of freedom. Even for the same hand-posture,. grabbed images may differ depending on user's characteristic and relative position between the hand and cameras. To solve the difficulty in defining hand-postures and construct database effective in size, we present a method using a 3D hand model. Hand joint angles for each hand-posture and corresponding silhouette images from many viewpoints by projecting the model into image planes are used to construct the ?database. The proposed method does not require additional equations to define movement constraints of each joint. Also using the method, it is easy to get images of one hand-posture from many vi.ewpoints and distances. Hence it is possible to construct database more precisely and concretely. The validity of the method is evaluated by applying it to the hand-posture recognition system.

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Fast Convergence GRU Model for Sign Language Recognition

  • Subramanian, Barathi;Olimov, Bekhzod;Kim, Jeonghong
    • Journal of Korea Multimedia Society
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    • v.25 no.9
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    • pp.1257-1265
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    • 2022
  • Recognition of sign language is challenging due to the occlusion of hands, accuracy of hand gestures, and high computational costs. In recent years, deep learning techniques have made significant advances in this field. Although these methods are larger and more complex, they cannot manage long-term sequential data and lack the ability to capture useful information through efficient information processing with faster convergence. In order to overcome these challenges, we propose a word-level sign language recognition (SLR) system that combines a real-time human pose detection library with the minimized version of the gated recurrent unit (GRU) model. Each gate unit is optimized by discarding the depth-weighted reset gate in GRU cells and considering only current input. Furthermore, we use sigmoid rather than hyperbolic tangent activation in standard GRUs due to performance loss associated with the former in deeper networks. Experimental results demonstrate that our pose-based optimized GRU (Pose-OGRU) outperforms the standard GRU model in terms of prediction accuracy, convergency, and information processing capability.

Smart Wrist Band Considering Wrist Skin Curvature Variation for Real-Time Hand Gesture Recognition (실시간 손 제스처 인식을 위하여 손목 피부 표면의 높낮이 변화를 고려한 스마트 손목 밴드)

  • Yun Kang;Joono Cheong
    • The Journal of Korea Robotics Society
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    • v.18 no.1
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    • pp.18-28
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    • 2023
  • This study introduces a smart wrist band system with pressure measurements using wrist skin curvature variation due to finger motion. It is easy to wear and take off without pre-adaptation or surgery to use. By analyzing the depth variation of wrist skin curvature during each finger motion, we elaborated the most suitable location of each Force Sensitive Resistor (FSR) to be attached in the wristband with anatomical consideration. A 3D depth camera was used to investigate distinctive wrist locations, responsible for the anatomically de-coupled thumb, index, and middle finger, where the variations of wrist skin curvature appear independently. Then sensors within the wristband were attached correspondingly to measure the pressure change of those points and eventually the finger motion. The smart wrist band was validated for its practicality through two demonstrative applications, i.e., one for a real-time control of prosthetic robot hands and the other for natural human-computer interfacing. And hopefully other futuristic human-related applications would be benefited from the proposed smart wrist band system.

Designing Effective Virtual Training: A Case Study in Maritime Safety

  • Jung, Jinki;Kim, Hongtae
    • Journal of the Ergonomics Society of Korea
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    • v.36 no.5
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    • pp.385-394
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    • 2017
  • Objective: The aim of this study is to investigate how to design effective virtual reality-based training (i.e., virtual training) in maritime safety and to present methods for enhancing interface fidelity by employing immersive interaction and 3D user interface (UI) design. Background: Emerging virtual reality technologies and hardware enable to provide immersive experiences to individuals. There is also a theory that the improvement of fidelity can improve the training efficiency. Such a sense of immersion can be utilized as an element for realizing effective training in the virtual space. Method: As an immersive interaction, we implemented gesture-based interaction using leap motion and Myo armband type sensors. Hand gestures captured from both sensors are used to interact with the virtual appliance in the scenario. The proposed 3D UI design is employed to visualize appropriate information for tasks in training. Results: A usability study to evaluate the effectiveness of the proposed method has been carried out. As a result, the usability test of satisfaction, intuitiveness of UI, ease of procedure learning, and equipment understanding showed that virtual training-based exercise was superior to existing training. These improvements were also independent of the type of input devices for virtual training. Conclusion: We have shown through experiments that the proposed interaction design results are more efficient interactions than the existing training method. The improvement of interface fidelity through intuitive and immediate feedback on the input device and the training information improve user satisfaction with the system, as well as training efficiency. Application: Design methods for an effective virtual training system can be applied to other areas by which trainees are required to do sophisticated job with their hands.

Hand Rehabilitation System Using a Hand Motion Recognition Device (모션인식 디바이스를 이용한 수부재활치료 시스템)

  • Hwang, Je-Seung;Kim, Min-Jin;Moon, Mi-Kyeong
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.8
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    • pp.129-137
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    • 2014
  • The patients who have illness of hand and upper limb should be received rehabilitation treatment to recover such illness. The rehabilitation treatments is a treatments designed to facilitate the process of recovery from injury, illness, or disease to as normal a condition as possible. This should be done continuously and repeatedly. In this paper, we describe hand-rehabilitation system which provides a treatment method improving and recovering the function of injured hands. Expecially, this system is using a leap motion device which can easily and properly identify and trace a hand motion and provide six treatment patterns for hand rehabilitation. By using this system, the patients can do rehabilitation treatment easily and continuously in their daily life and in result, the achievement of treatment will be improved.

MPEG-U based Advanced User Interaction Interface System Using Hand Posture Recognition (손 자세 인식을 이용한 MPEG-U 기반 향상된 사용자 상호작용 인터페이스 시스템)

  • Han, Gukhee;Lee, Injae;Choi, Haechul
    • Journal of Broadcast Engineering
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    • v.19 no.1
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    • pp.83-95
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    • 2014
  • Hand posture recognition is an important technique to enable a natural and familiar interface in HCI(human computer interaction) field. In this paper, we introduce a hand posture recognition method by using a depth camera. Moreover, the hand posture recognition method is incorporated with MPEG-U based advanced user interaction (AUI) interface system, which can provide a natural interface with a variety of devices. The proposed method initially detects positions and lengths of all fingers opened and then it recognizes hand posture from pose of one or two hands and the number of fingers folded when user takes a gesture representing a pattern of AUI data format specified in the MPEG-U part 2. The AUI interface system represents user's hand posture as compliant MPEG-U schema structure. Experimental results show performance of the hand posture recognition and it is verified that the AUI interface system is compatible with the MPEG-U standard.

A Study on Comparative Experiment of Hand-based Interface in Immersive Virtua Reality (몰입형 가상현실에서 손 기반 인터페이스의 비교 실험에 관한 연구)

  • Kim, Jinmo
    • Journal of the Korea Computer Graphics Society
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    • v.25 no.2
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    • pp.1-9
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    • 2019
  • This study compares hand-based interfaces to improve a user's virtual reality (VR) presence by enhancing user immersion in VR interactions. To provide an immersive experience, in which users can more directly control the virtual environment and objects within that environment using their hands and, to simultaneously minimize the device burden on users using immersive VR systems, we designed two experimental interfaces (hand motion recognition sensor- and controller-based interactions). Hand motion recognition sensor-based interaction reflects accurate hand movements, direct gestures, and motion representations in the virtual environment, and it does not require using a device in addition to the VR head mounted display (HMD). Controller-based interaction designs a generalized interface that maps the gesture to the controller's key for easy access to the controller provided with the VR HMD. The comparative experiments in this study confirm the convenience and intuitiveness of VR interactions using the user's hand.

Hierarchical Hand Pose Model for Hand Expression Recognition (손 표현 인식을 위한 계층적 손 자세 모델)

  • Heo, Gyeongyong;Song, Bok Deuk;Kim, Ji-Hong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.10
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    • pp.1323-1329
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    • 2021
  • For hand expression recognition, hand pose recognition based on the static shape of the hand and hand gesture recognition based on the dynamic hand movement are used together. In this paper, we propose a hierarchical hand pose model based on finger position and shape for hand expression recognition. For hand pose recognition, a finger model representing the finger state and a hand pose model using the finger state are hierarchically constructed, which is based on the open source MediaPipe. The finger model is also hierarchically constructed using the bending of one finger and the touch of two fingers. The proposed model can be used for various applications of transmitting information through hands, and its usefulness was verified by applying it to number recognition in sign language. The proposed model is expected to have various applications in the user interface of computers other than sign language recognition.

A Comic Facial Expression Method for Intelligent Avatar Communications in the Internet Cyberspace (인터넷 가상공간에서 지적 아바타 통신을 위한 코믹한 얼굴 표정의 생성법)

  • 이용후;김상운;청목유직
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.1
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    • pp.59-73
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    • 2003
  • As a means of overcoming the linguistic barrier between different languages in the Internet, a new sign-language communication system with CG animation techniques has been developed and proposed. In the system, the joint angles of the arms and the hands corresponding to the gesture as a non-verbal communication tool have been considered. The emotional expression, however, could as play also an important role in communicating each other. Especially, a comic expression is more efficient than real facial expression, and the movements of the cheeks and the jaws are more important AU's than those of the eyebrow, eye, mouth etc. Therefore, in this paper, we designed a 3D emotion editor using 2D model, and we extract AU's (called as PAU, here) which play a principal function in expressing emotions. We also proposed a method of generating the universal emotional expression with Avatar models which have different vertex structures. Here, we employed a method of dynamically adjusting the AU movements according to emotional intensities. The proposed system is implemented with Visual C++ and Open Inventor on windows platforms. Experimental results show a possibility that the system could be used as a non-verbal communication means to overcome the linguistic barrier.

A study on the origin and transformation of the image of earth goddess wring her hair (머리카락에서 물을 짜내는 지모신 형상의 기원과 변모에 관한 연구)

  • Noh, Jang Suh
    • The Southeast Asian review
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    • v.20 no.3
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    • pp.223-262
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    • 2010
  • This paper has been written to find facts about the image of earth goddess broadly found in the Southeast Asia. The research findings are as follows: Firstly, the image of earth goddess wringing her hair is phenomenally discovered in both Buddhist temple murals and independent shrines in Thailand. This phenomenon is common in other Indochinese Buddhist countries such as Myanmar, Laos and Cambodia. Secondly, the life of Buddha including the story of the victory over Mara is found in such Buddhist canons as Mahavastu, Buddhacarita, Lalitavistara, Nidanakatha and Patamasambodhi. Among the canons, the story of the victory over Mara is described in differently ways. Earth becomes personified as the goddess in later version. The main cause to expel Mara's army also changes from sound to water. Patamasambodhi is most closely associated with the iconography of the earth goddess of Southeast Asia. Thirdly, Vessantara Jataka and Indian ancient customs tell us that a merit maker performs a rite of pouring water on the earth as an evidence for merit-making. This rite is a key to understanding the meaning of the scene where the earth goddess expels Mara's army into the flood by wringing her hair. The earth goddess is personified from the earth upon which the merit water is poured. Water soaked in her hair is the very holy water poured by the Buddha whenever he made a merit in his former lives. The amount of water flowed from the hair of the earth goddess representing the amount of his merit making was so huge and enough to defeat the Mara's army and for the Buddha to reach the Enlightenment. This legend explains the significance of the notion of merit in the Theravada Buddhist countries such as Thailand and Myanmar where the water pouring rites still take place and the images of the hair wringing earth goddess are commonly discovered. Fourthly, the first image of the earth goddess as the witness of merits for the Buddha appeared in some Gandharan Buddhist sculptures in the form of devotional gesture with her both hands pressed together and the upper half of her body above the ground. The appearance is in accordance with the description of her in the Lalitavistara canon. In later periods, the form changed into various types and finally the image of the earth goddess wringing her hair appeared in Southeast Asia around 11 century C.E. Some researchers argue this image form of the earth goddess shows the influence from China or India. However, the arguments are considered to be hypothetical as they have no strong evidence to prove. Finally, the modern image of earth goddess shows richer and more dynamic expression compared with its predecessors. Especially, outstanding is the standing earth goddess images found in the scene of the victory over Mara in many temple murals of central region of Thailand. The earth goddess in her voluptuous body shape is usually depicted as wringing her hair with her arms wide open in a posture of S curve. This appearance strongly reminds us of the postures of Salabhanjika and Tribhanga originated from Indian art. The adoption presumably has been made to signify her fertile and affluent characteristics.