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Virtual assembly is widely used to increase productivity. However, performing all the operations manually is time consuming, because there will inevitably have much rework to do. On the other hand, automating the whole process is an unbelievable task, because there is a lack of professional knowledge. Therefore, we present an object trace method to depict assembly manipulation, and use this specification...
This paper explains a study on natural interaction (NI) in human body motion using depth image data. It involves about overview of NI and depth image data. Human body motion is a non-verbal part for interaction or movement that can be used to involves real world and virtual world. Furthermore, interaction with computer or machine can be more realistic as real world and becoming more important to academic...
Social book marking services allow users sharing similar interests to save and exchange web content they find useful or relevant. Book marking is especially important for content not located by the top ranked web pages or easily explored with a traditional search engine. This study investigated the effects that the major context of use (work vs. non-work) has had on experiences with the social book...
Human detection is a key functionality to reach Human Robot/Computer Interaction. The human tracking is also a rapidly evolving area in computer and robot vision; it aims to explore and to follow human motion. We present in this article an intelligent system to learn human detection. The descriptors used in our system make up the combination of HOG and SIFT that capture salient features of humans...
In recent years, there has been a growing interest in improving all aspects of the interaction between humans and computers. It is proved that to succeed an intelligent interaction between human and machine, computer must be able to interact naturally as possible, exactly like human-human communication. Humans interact specially with speech, but he can add other way like body gestures and looks, to...
In this paper, we propose a novel interface called Joyman, designed for immersive locomotion in virtual environments. Whereas many previous interfaces preserve or stimulate the users proprioception, the Joyman aims at preserving equilibrioception in order to improve the feeling of immersion during virtual locomotion tasks. The proposed interface is based on the metaphor of a human-scale joystick....
Motion platforms are advanced systems for driving simulators. Studies showed that these systems imitate the real driving behavior of cars very accurately. In low-cost driving simulators, most installations lack motion platforms and miss to simulate real motion forces. Their focus is on high-quality video and audio, or force feedback on steering wheels. We aim to substitute the real motion forces with...
We provide a practical industrial visual surveillance framework based on the notion of visual trap points. Instead of using the whole machinery of computer vision in order to verify correct workflow execution we re-factor the behavior training module to a pre-configured pool of allowed behaviors. We exploit humans' ability to distinguish tasks and allow for an automated surveillance system to accomplish...
NASA's Autonomous Landing and Hazard Avoidance Technology (ALHAT) project is developing technologies for safe landing anytime/anywhere on planetary surfaces. Minimizing time, thus minimizing fuel consumption, is critical during landing, so ALHAT displays must convey information efficiently to operators. The ALHAT Human System Interface (HSI) team developed prototype displays, explored methods of providing...
Today, the world has made a lot of progress in the field of communications. Communications make us closer and help us to understand everything even better. The way we humans communicate is much realistic when compared to the way the machines communicate or the way the computers communicate. Naturally, this defines that there exists a lot of communication gap between us, computers and machines. So...
In this paper, we explore the use of computer vision techniques to analyze students' moods during one-on-one teaching interactions. The eventual goal is to create automated tutoring systems that are sensitive to the student's mood and affective state. We find that the problem of accurately determining a child's mood from a single video frame is surprisingly difficult, even for humans. However when...
This paper analyzes completely unsupervised clustering of human expressions, gestures, and actions in video. Lacking any supervision, there is nothing except the inherent biases of a given technique to guide grouping of video clips along semantically meaningful partitions. This paper evaluates two contemporary behavior recognition methods, Bag of Features (BOF) and Product Manifolds (PM), for clustering...
Situation awareness (SA) is a prerequisite to timely and accurate decision-making in the fast and highly stressful context of infantry operational environments. The introduction of electronic support technologies onto the battlefield is expected to improve SA by providing the right information, at the right time, and in the right format. In the cur rent paper, we report a systematic and innovative...
Emotion recognition is one of the core processes to implement emotional intelligence in human-computer interaction (HCI) research. The purpose of present study was to investigate emotion-specific ANS responses and used classification algorithm to test recognizing rate when negative emotion such as fear, surprise, and stress was evoked. The results of one-way ANOVA toward each parameter, there were...
This paper reports on the analysis of video footage of a human-robot study in public place regarding context factors that significantly influence the interaction. A coding scheme was developed and then used to analyze the footage. To ensure the validity of the coding, the footage was coded independently by two students and afterwards the Cohen's Kappa was calculated to ensure the intercoder reliability...
This paper describes a new tool - ASHAN ('Alphabets and Scripts by Hand and Audio, Naturally') - for learning scripts and languages. The problem of illiteracy is universal affecting about 16% of the human race. Only technological tools can accelerate the process of meeting the millennium goals as the paradigms of learning and teaching are changing. ASHAN - a computer with a touch screen and special...
Citizen Energy is a novel, participatory citizen engagement with energy that is designed to extend our relationship with energy beyond existing producer-consumer models towards ones that are more participatory, intimate, personal, social, and emotional. In this paper we directly introduce and operationalize novel strategies for collecting, keeping, sharing, and activating personal, interactive micro-energy...
In this paper, we explore the current state of interaction design in visual analytics. Current visual analytics design is heavily focused on interface issues like scalability and tool functionality; this focus is necessary, but it should not be exclusive. Further, most consideration of human cognition is done after tool development in the form of limited evaluation. We argue that, by definition, visual...
Two main recent achievements of the first decade in this new century in model space based during product definition are representation of corporate knowledge in product model and extended application of contextual feature principle. Contextual connections are applied to define corporate knowledge features as relationships amongst product object parameters. Current product models include comprehensive...
Human computer interaction is concerned about the physical and mental activities between computers and humans. In terms of HCI perspective, one of the main problems that web developers, software developers, and hardware developers encounter in software design stage is a lack of experimental researches on the human factors. Mainly, developers are focused on the quantities and contents of the applications,...
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