Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
This paper is focused on comparing corpus-based methods for estimating word sentiment. Evaluated algorithms represent varying degrees of supervision and range from regression alike approaches to more heavily supervised classifications. The main idea is to explore the opportunities arising from mining medium sized, balanced corpora -- as opposed to web as a corpus paradigm. The comparisons have been...
This paper presents a robust and fully-automatic human motion tracking system without motion priors information using a camera in a fixed location. Bottom-up estimation approaches have recently been applied to such tasks with some success. However, the performance of these approaches is limited by the difficulty of building an effective appearance model. In particular, the appearance model must be...
In this paper we propose a novel system design approach to improve the performance of large-scale interacting user communities towards a collective goal. The proposed approach has been applied on the example case of social network information diffusion and results show that it helped the participating community achieve less spam and improved information coverage.
We are now developing a Japanese speaking test called SCAT, which is part of J-CAT (Japanese Computerized Adaptive Test), a free online proficiency test for Japanese language learners. In this paper, we focus on the sentence-reading-aloud task and the sentence generation task in SCAT, and propose an automatic scoring method for estimating the overall score of answer speech, which is holistically determined...
Recently, motion control technology is more and more developed. Robots are used not only in industry but also in human society. Hereafter, in order to extend the range of work and kinds of motion, it is needed to think about what human is. As is the case with voice recognition, for human-motion streaming of data also have important meaning. However, motion trajectory and force adjustment are different...
Our aim is to develop an algebraic approach to estimate human posture in the sagittal plane using Inertial Measurement Unit (IMU) providing accelerations and angular velocities. For this purpose, we address the issue of the estimation of the amplitude, frequency and phase of a biased and noisy sum of three sinusoidal waveform signals on a moving time horizon. The length of the time window being small,...
Recently, personal robots and home robots are developing by many companies and research groups. It is considered that a general effective interface for user of those robots is speech or voice. In voice instruction system, we propose the estimation method of a target. The present method is based on the instruction history of a user. Additionally, we propose the update algorithm of fuzzy rules based...
This paper proposes a method to detect people and estimate the number of the people in a supermarket for energy-saving. By using background subtraction technique to extract foreground, and utilizing the foreground to match adjustable standard template, the method detects people and eliminates non-human objects. Simultaneously, the people positions can be marked in the image. The experiment results...
Traditional methods do not actually measure peoples' risk attitude naturally and precisely. Therefore, a fuzzy risk attitude classification method is developed. Since the prospect theory is usually considered as an effective model of decision making, the personalized parameters in prospect theory are firstly fuzzified to distinguish people with different risk atti-tudes, and then a fuzzy classification...
In this paper, we discuss pointing gesture estimation in the context of Human Robot Interaction (HRI). Pointing gesture provides and utilizes information in Kukanchi (Interactive Human Space Design and Intelligence) more natural than other conservative method like keyboard or mouse. Therefore, we design a user interface adopting pointing gesture to manipulate objects and robot naturally in 3D space...
Emotion estimation from sentences is helpful in semantic analysis and human-computer interaction. People sometimes express their emotions directly and sometimes describe experiences that produce various emotions. Emotion estimation requires both verbal expressions. We believe Japanese onomatopoeias could serve as a landmark of emotions. In this study, multiple raters judged emotions found in 324 onomatopoeias...
Recently, a sensor network to support a human living by sensing environmental data has been investigated. These systems require accurate information such as a human location and a temperature et al. to estimate a surrounding situation. To obtain an accurate estimation, installation and management costs for the communication system equipped with a sensor network increase since many sensors are used...
Robots that interact with humans in everyday situations, need to be able to interpret the nonverbal social cues of their human interaction partners. We show that humans use body posture and head pose as social signals to initiate and terminate interaction when ordering drinks at a bar. For that, we record and analyze 108 interactions of humans interacting with a human bartender. Based on these findings,...
In this paper, we present a boosting approach by combining the pose estimation and the upper body tracking to on-line recognize human actions. Instead of using a predefined pose to initialize the human skeleton, we construct a key poses database with depth HOG features as searching indexes. When user enters the camera view, we automatically search the database to get the initial skeleton. Then we...
Center of mass (CoM) trajectory is important during standing and walking since it can be used as an index for stability and fall prediction. Unfortunately current methods for CoM estimation require the use of specialized equipment (such as motion capture and force platforms) in controlled environments. This paper aims at applying the statically equivalent serial chain (SESC) method to obtain CoM position...
We propose a method to plan in-hand manipulation actions with a robotic anthropomorphic hand. We consider in-hand manipulation actions as sequences between canonical grasp types identified in the humans. Our work concerns the generation of this sequence, which should be autonomous and fast enough to be performed on-line. We use a Markov Decision Process (MDP) governing the transitions between grasp...
Recently, 3D body shape information is widely effective in various applications and markets such as apparel industry or health management. However, existing techniques to obtain 3D body shape have been highly expensive and complex, or not performed modeling despite required anatomical information. We propose a simple system for obtaining 3D body shape using only a few photos captured by users themselves...
We propose a mathematical model for optimizing pixel aspect ratio for the best 3D estimation in both stereo-based 3D reconstruction and 3D viewing applications. We analyze the 3D reconstruction through a 3D display medium and reduce the whole process to a single stereo system so that a unified model can be applied to both direct reconstruction from stereo images and indirect reconstruction through...
In human body pose estimation, manifold learning is a useful method for reducing the dimension of 2D images and 3D body configuration data. Most commonly, body pose is estimated from silhouettes derived from images or image sequences. A major problem when applying manifold estimation, however, is its vulnerability to silhouette variation. In this paper, we propose a novel approach to solving viewpoint-induced...
A vehicle's steering wheel is a special interface because it needs to be grasped by the driver's hand while driving. This is very useful from the viewpoint of biological instrumentation. This may achieve steady instrumentation for biological information, and by using this information, an estimate of the driver's state can also be made. In past research, a steering wheel sensor system was proposed...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.