The aim of this study is to present a modulation index (MI) for volumetric modulated arc therapy (VMAT) based on the speed and acceleration analysis modulating-parameters such as multi-leaf collimator (MLC) movements, gantry rotation dose-rate, comprehensively. performance presented MI (MIt) was evaluated with correlation analyses pre-treatment quality assurance (QA) results, differences in between VMAT plans versus dynamic log files, dose-volumetric parameters reconstructed using files. For...

The aim of this study is to present a modulation index considering both mechanical and dose calculation uncertainties for volumetric modulated arc therapy (VMAT). As only uncertainty VMAT, MIt has been previously suggested. In study, we developed weighting factor which represents based on the aperture shapes fluence maps at every control point VMAT plans. order calculate factor, thinning algorithm image processing techniques was applied measure field irregularity. By combining with suggested...

In an environment where the contexts of users are complex and degree freedom user activity is very high, such as in daily life, several factors need to be considered for constructing models. Such a model should include changes meanings activities that reflect user's situation both temporally individually. this paper we propose novel approach personalizing adapting it individual circumstances with wearable sensor network. We also describe process determining repetitive by using incremental...

DuplicateSpace is a 3D interaction platform that enables direct manipulation by two-handed in virtual environment. Our aims to enhance the operational feasibility and realistic feeling of world allowing operability objects through real-world metaphors. On this platform, we apply asymmetric bimanual interaction, which combines bare hand hand-held device, provide synchronizing space physical space. We investigate role two handed modalities suggest tangible design objects. Through an informal...

Teleoperation provides a technical means to perform desired tasks in remote environments. using direct control and haptic-mediated interactions requires significant effort for unskilled users understand how operate the robot. Task-oriented teleoperation supports human-level understanding directly transfer meaning of from user In this paper, we propose natural 3D interface task knowledge We design manipulation system mixed reality environment that combines human hand gestures view demonstrate...

This video presents a grasp planning of multiple robots via learning by human demonstration. In order to make robot an unknown object, the is required figure out appropriate grasping skill such as points and approaching directions for target object. After shape object has been reconstructed, learns natural intuitive

Cognitive agents are expected to interact with and adapt a nonstationary dynamic environment. As an initial process of decision making in real-world agent interaction, familiarity judgment leads the following processes for intelligence. Familiarity includes knowing previously encoded data as well completing original patterns from partial information, which fundamental functions recognition memory. Although previous computational memory models have attempted reflect human behavioral...

This paper presents a multimodal user guide system, comprised of wearable sensors, which provides interactive feedback to users for the purpose sharing experiences. The system we propose captures and analyzes contextual information using while is performing an activity. can subsequently be shared with other used in similar activities. Audiovisual from guiding provided users, real time, accordance their activity state. To realize probabilistic method modeling experiences, process based on...

This paper describes a new learning by observation algorithm based on Bayesian networks and game pattern graphs. Even with minimal knowledge of or human instructions, the robot can learn rules watching demonstrators repeatedly play multiple times. Based acquired from this process, represented in graphs, games as robustly humans do. Our for human-robot interaction is implemented using teddy bear-like demonstrated application to well-known social games, specifically Rock-Paper-Scissors,...