標(biāo)題: Titlebook: Gesture and Sign Language in Human-Computer Interaction; International Gestur Ipke Wachsmuth,Martin Fr?hlich Conference proceedings 1998 Sp [打印本頁] 作者: 掩飾 時(shí)間: 2025-3-21 18:36
書目名稱Gesture and Sign Language in Human-Computer Interaction影響因子(影響力)
書目名稱Gesture and Sign Language in Human-Computer Interaction影響因子(影響力)學(xué)科排名
書目名稱Gesture and Sign Language in Human-Computer Interaction網(wǎng)絡(luò)公開度
書目名稱Gesture and Sign Language in Human-Computer Interaction網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Gesture and Sign Language in Human-Computer Interaction被引頻次
書目名稱Gesture and Sign Language in Human-Computer Interaction被引頻次學(xué)科排名
書目名稱Gesture and Sign Language in Human-Computer Interaction年度引用
書目名稱Gesture and Sign Language in Human-Computer Interaction年度引用學(xué)科排名
書目名稱Gesture and Sign Language in Human-Computer Interaction讀者反饋
書目名稱Gesture and Sign Language in Human-Computer Interaction讀者反饋學(xué)科排名
作者: HAUNT 時(shí)間: 2025-3-21 22:56 作者: 縮影 時(shí)間: 2025-3-22 01:00 作者: 欲望 時(shí)間: 2025-3-22 05:00
https://doi.org/10.1007/978-3-642-41763-4 integration step the first-level symbols are integrated to second-level symbols describing a whole gesture. Second-level symbolic gesture descriptions are the entities which can be integrated with speech tokens to form multi-modal utterances.作者: visual-cortex 時(shí)間: 2025-3-22 10:30
Gerhard Zauner,Reinhold Jahn,Karl Stahra virtual environment are discussed with respect to a required functionality, the implementation of a specific gesture detection module for distant pointing recognition is described, and the whole system design is tested for its task adequacy.作者: 強(qiáng)制性 時(shí)間: 2025-3-22 15:15 作者: 強(qiáng)制性 時(shí)間: 2025-3-22 19:03 作者: dearth 時(shí)間: 2025-3-22 22:23
Video-based sign language recognition using Hidden Markov Models,e feature vector on the recognition rate and thirdly an approach for the recognition of connected signs. The system achieves recognition rates up to 94% for isolated signs and 73% for a reduced vocabulary of connected signs.作者: Armory 時(shí)間: 2025-3-23 03:22 作者: 細(xì)微差別 時(shí)間: 2025-3-23 08:42 作者: pineal-gland 時(shí)間: 2025-3-23 10:49
Exploiting distant pointing gestures for object selection in a virtual environment,a virtual environment are discussed with respect to a required functionality, the implementation of a specific gesture detection module for distant pointing recognition is described, and the whole system design is tested for its task adequacy.作者: 嫻熟 時(shí)間: 2025-3-23 17:46
Detection of fingertips in human hand movement sequences,inger and of the thumb, finding the pointing-direction regardless of the operator’s pointing style, and detecting all 5 fingertips in hand movement sequences. The system is able to perform these tasks even when the fingertips are in an area with low contrast.作者: Water-Brash 時(shí)間: 2025-3-23 20:50 作者: wreathe 時(shí)間: 2025-3-24 02:11
Automatische Messwerterfassung,computer science. I specify fundamental unsolved problems in the areas of naturalness, anthropology and systems building. I also suggest some things that we could do to make our research community stronger and more able to tackle these problems.作者: Medicaid 時(shí)間: 2025-3-24 02:33 作者: Expurgate 時(shí)間: 2025-3-24 09:46
https://doi.org/10.1007/978-3-030-71685-1ing. It revealed that a highly informative, one-handed gesture with seemingly-interactive speech attracted attention when it had a slower stroke and/or a long post-stroke hold at the Center-Center space and upper position.作者: 額外的事 時(shí)間: 2025-3-24 13:50
Phase-Change Phenomena and Two-Phase Flow,stem uses Hidden Markov Models (HMMs) as statistical classifier. These HMMs are trained on a database of 24 isolated gestures, performed by 14 different people. With the use of global motion features, a recognition rate of 92.9% is achieved for a person and background independent recognition.作者: 鼓掌 時(shí)間: 2025-3-24 15:50
Kriti Yadav,Anirbid Sircar,Manan Shahcues. Gestures are captured with a TUB-SensorGlove. The paper focuses on the description of the gesture recognition method (including data preprocessing) and describes experiments for the evaluation of the performance of the recognition method. The paper combines and further develops ideas from some of our previous work.作者: 勛章 時(shí)間: 2025-3-24 22:35 作者: Bricklayer 時(shí)間: 2025-3-25 01:08 作者: 寬度 時(shí)間: 2025-3-25 04:56 作者: 死亡率 時(shí)間: 2025-3-25 10:10 作者: panorama 時(shí)間: 2025-3-25 12:23
High performance real-time gesture recognition using Hidden Markov Models,stem uses Hidden Markov Models (HMMs) as statistical classifier. These HMMs are trained on a database of 24 isolated gestures, performed by 14 different people. With the use of global motion features, a recognition rate of 92.9% is achieved for a person and background independent recognition.作者: Occupation 時(shí)間: 2025-3-25 17:51 作者: 貪婪性 時(shí)間: 2025-3-25 20:59
Neural architecture for gesture-based human-machine-interaction,al user in the operation field, followed by the aquisition and interpretaion of its gestural instructions. The whole approach is motivated in the context of a reliable operation scenario, but can be extended easily for other applications, such as videoconferencing.作者: 溫和女孩 時(shí)間: 2025-3-26 00:11 作者: doxazosin 時(shí)間: 2025-3-26 06:46 作者: 乏味 時(shí)間: 2025-3-26 10:04
Gesture-Based and haptic interaction for human skill acquisition, quantitative features extracted from the hand gesture analysis. Finally, it is planned to map the formalized skill into a robotics system, that will be able to grasp and manipulate non rigid objects, also facing unexpected situations.作者: 裹住 時(shí)間: 2025-3-26 14:03
Corpus of 3D natural movements and sign language primitives of movement,stem that allows the 3D description of movement trajectories in space. The main technical characteristics of the capture and pretreatment system are presented, and perspectives are highlighted for recognition and generation purposes.作者: Definitive 時(shí)間: 2025-3-26 19:57 作者: 曲解 時(shí)間: 2025-3-26 21:34
0302-9743 r gesture movement, hidden Markov models, motion analysis and synthesis, multimodal interfaces, neural network methods, and applications.978-3-540-64424-8978-3-540-69782-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: lobster 時(shí)間: 2025-3-27 03:47
https://doi.org/10.1007/978-3-662-00910-9eads us to the assumption that simpler 3D-models suffice for line drawn illustrations and animations of gestures, which in consequence facilitates the 3D modeling task and speeds up the rendering. Another advantage of line drawings include fast transmission in networks, as e.g. the Internet, and the wide scale-independence they exhibit.作者: Customary 時(shí)間: 2025-3-27 06:10
Geophysikalische Untersuchungen,integration between modes and task knowledge. Preliminary results from the two dimensional gesture recognition system are presented. Rule Induction is used for analysis of the gesture data and preliminary classification results are presented. Current implementations and future work on redundancy are also discussed.作者: nuclear-tests 時(shí)間: 2025-3-27 12:57
Rendering gestures as line drawings,eads us to the assumption that simpler 3D-models suffice for line drawn illustrations and animations of gestures, which in consequence facilitates the 3D modeling task and speeds up the rendering. Another advantage of line drawings include fast transmission in networks, as e.g. the Internet, and the wide scale-independence they exhibit.作者: 變形詞 時(shí)間: 2025-3-27 15:47 作者: extrovert 時(shí)間: 2025-3-27 21:06 作者: CLIFF 時(shí)間: 2025-3-27 23:40
Research challenges in gesture: Open issues and unsolved problems,of the field. We must act to correct these deficiencies and strengthen the research community in order to avoid becoming a footnote in the history of computer science. I specify fundamental unsolved problems in the areas of naturalness, anthropology and systems building. I also suggest some things t作者: Prognosis 時(shí)間: 2025-3-28 05:21
Progress in sign language recognition,exciting and worthwhile. To date the research emphasis has been on the capture and classification of the gestures of sign language and progress in that work is reported. However, it is suggested that there are some greater, broader research questions to be addressed before full sign language recogni作者: CLAM 時(shí)間: 2025-3-28 10:12
Movement phases in signs and co-speech gestures, and their transcription by human coders,nt dynamic characteristics. In this paper, we propose a syntagmatic rule system for movement phases that applies to both co-speech gestures and signs. Descriptive criteria for the rule system were developed for the analysis video-recorded continuous production of signs and gesture. It involves segme作者: 精確 時(shí)間: 2025-3-28 12:38
Classifying two dimensional gestures in interactive systems,o perform gestures in order to enter and execute commands, but the usage of gestures can be found in other interactive systems as well. Much research so far has been focused on how to implement two-dimensional gestures, how to recognize the users input, or what context to use gestures in..Instead, t作者: ALT 時(shí)間: 2025-3-28 15:14 作者: 動(dòng)物 時(shí)間: 2025-3-28 19:52 作者: 樂意 時(shí)間: 2025-3-29 00:59 作者: inundate 時(shí)間: 2025-3-29 06:45
Velocity profile based recognition of dynamic gestures with discrete Hidden Markov Models,e input data. The segmentation problem is addressed by extracting two velocity profiles from the gesture data and using their extrema as segmentation cues. Gestures are captured with a TUB-SensorGlove. The paper focuses on the description of the gesture recognition method (including data preprocessi作者: Senescent 時(shí)間: 2025-3-29 10:15
Video-based sign language recognition using Hidden Markov Models,gner dependent recognition of 262 different signs taken from Sign Language of the Netherlands. For Hidden Markov Modelling a sign is considered a doubly stochastic process, represented by an unobservable state sequence. The observations emitted by the states are regarded as feature vectors, that are作者: 貧窮地活 時(shí)間: 2025-3-29 12:29
Corpus of 3D natural movements and sign language primitives of movement,The structure of the corpus is defined for natural pointing movements carried out in different directions, heights and amplitudes. It is then extended to movement primitives habitually used in sign language communication. The corpus is based on movements recorded using an optoelectronic recording sy作者: 審問,審訊 時(shí)間: 2025-3-29 18:12 作者: olfction 時(shí)間: 2025-3-29 20:49
Automatic estimation of body regions from video images, (handshape, hand orientation, location and movement) and non-manual (trunk, head, gaze, facial expression, mouth) parameters. This paper introduces a software module which is as a part of the developed automatic sign language recognition system able to extract relevant body regions from digitised v作者: 疏忽 時(shí)間: 2025-3-30 01:20 作者: Tincture 時(shí)間: 2025-3-30 05:02
Investigating the role of redundancy in multimodal input systems, communication is to capitalise on the way human beings use speech and gesture in a complementary manner, exploiting the . of information between these modes. Redundant data input via multiple modalities, give considerable scope for the resolution of error and ambiguity. This paper describes impleme作者: Temporal-Lobe 時(shí)間: 2025-3-30 10:00 作者: cornucopia 時(shí)間: 2025-3-30 13:57
Exploiting distant pointing gestures for object selection in a virtual environment,enced as Virtual Reality. While Virtual Reality meanwhile reaches good results both in image quality and in fast user feedback using parallel computation techniques, the methods for interacting with these systems need to be improved. In this paper we introduce a multimedia application that uses a ge作者: wreathe 時(shí)間: 2025-3-30 19:02
An intuitive two-handed gestural interface for computer supported product design,rface research fits in with these new developments. However, the existing gestural interfaces hardly take advantage of the possibilities gestures offer. They even force the user to learn a new language. We propose a gestural interface for product design that exploits the use of gestures. This interf作者: Etching 時(shí)間: 2025-3-30 22:49 作者: Painstaking 時(shí)間: 2025-3-31 02:57
Neural architecture for gesture-based human-machine-interaction,iques is the robustness under highly varying environmental conditions. Therefore, we propose a multiple cue approach for the localisation of a potential user in the operation field, followed by the aquisition and interpretaion of its gestural instructions. The whole approach is motivated in the cont作者: linguistics 時(shí)間: 2025-3-31 07:24
Gesture and Sign Language in Human-Computer InteractionInternational Gestur作者: 易發(fā)怒 時(shí)間: 2025-3-31 09:31 作者: IOTA 時(shí)間: 2025-3-31 13:37
https://doi.org/10.1007/978-3-642-24331-8, cheek, chin) and trunk regions (shoulder belt, chest, belly, hip) are determined by means of two estimators, where a-priori known geometric data of the face and fuzzy technique are used. Experiments indicate that our approach leads to good estimation of body regions, which we all compute in real t作者: Graves’-disease 時(shí)間: 2025-3-31 18:10 作者: Alveoli 時(shí)間: 2025-4-1 00:39 作者: GRAIN 時(shí)間: 2025-4-1 02:20
Automatic estimation of body regions from video images,, cheek, chin) and trunk regions (shoulder belt, chest, belly, hip) are determined by means of two estimators, where a-priori known geometric data of the face and fuzzy technique are used. Experiments indicate that our approach leads to good estimation of body regions, which we all compute in real t作者: 一瞥 時(shí)間: 2025-4-1 09:16 作者: BACLE 時(shí)間: 2025-4-1 14:11
