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Biometrics are the personal physiological and behavioral characteristics which are mostly used for personal recognition. Today, biometric based security systems such as fingerprint, iris and face recognition are used everywhere especially in high security areas. Human retina is another source of biometric system which provides the most reliable and stable means of authentication. In this paper, we...
The area of human digital memories focuses on documenting our entire lifetime. Using this outlet, a diverse range of information can be brought together, such as photos, location, temperature and physiological information. Nowadays, we have access to a number of different data sources, thus allowing more dynamic and data rich memories to be created. In particular, the inclusion of physiological data...
A hand-held electronic nose (e-nose) based on polymer/carbon nanotube (CNT) is presented as a point-of-care clinical instrument. The system was designed to support key requirements such as compact body, lightweight and low cost suitable for home-based diagnostics. This paper is a case study to demonstrate clinical application of an e-nose by investigating volatile organic compounds (VOCs) as generated...
This paper proposes a framework for the design of serious games in the area of revenue management. At this time, there is little systematic consideration of simulation-based serious games and their set-up available in this field. The suggested framework regards games as structured in three layered stages and explicates decisions influencing their design and focus. These decisions are structured according...
Social interaction and group coordination are important factors in the simulation of human crowd behavior. To date, few simulation methods have been informed by models of human group behavior from the social science studies. In this paper we advance a computational model informed by Common Ground (CG) Theory that both inherits the social realism provided by the CG model and is computationally tractable...
Agent based simulations often model humans and increasingly it is necessary to do this at an appropriate level of complexity. It has been suggested that the Belief Desire Intention (BDI) paradigm is suitable for modeling the cognitive processes of agents representing (some of) the humans in an agent based modeling simulation. This approach models agents as having goals, and reacting to events, with...
Detecting lies is crucial in many areas, such as airport security, police investigations, counter-terrorism, etc. One technique to detect lies is through the identification of facial micro-expressions, which are brief, involuntary expressions shown on the face of humans when they are trying to conceal or repress emotions. Manual measurement of micro-expressions is hard labor, time consuming, and inaccurate...
In this paper a new method of eye blink detection and analysis is proposed. The described technique is based on a combination of spatial and temporal derivatives calculated in video sequences acquired with a high speed camera. The pixels of each frame are divided into two groups according to the direction and magnitude of the hybrid gradient vectors and the distance between their centers of gravity...
Identifying moving objects from a video sequence is a fundamental and critical task in many computer-vision applications. Such automatic object detection soft wares have many applications in surveillance, auto navigation, traffic monitoring and robotics. While identifying the objects it is some time essential to identify the objects individually. Individual object detection is very critical in many...
This study investigates whether people entrain their body sway in everyday face-to-face communication. Interpersonal entrainment has been observed under experimental conditions, but not in daily life. We used wearable sensors to measure individual body vibration and face-to-face interactions in daily life. The observation included at least 100 participants from each of seen organization over a period...
This article deals with the mode analysis of the kinematic structure of human locomotion. We investigated human locomotion using singular value decomposition. From motion-captured data of human locomotion, we extracted common basic movements and residual modes, and analyzed the kinematical structures. The results show the joint synergy that is derived by the residual modes (expresses strong dependencies...
Slight differences between a learning target motion and motions performed by learners are not easy for learners to recognize, when some adjustments are needed by learners for learning motions. To assist human-learners recognize the slight differences in motions, not only symbolic expressions but also motion display plays very important role. In the previous work, we proposed a motion coaching system...
The purpose of this study is to develop the supporting system for standing up and sitting down of the elderly people. The feature of the supporting system is to assist the human motion for standing and sitting without any sensors attached to the people. First of all, we measured a human motion of standing by the force plate and a force sensor. As the result, we clarified the feature of a human standing...
In this work, we propose a system that has the ability to reproduce imitated motions of human during continuous and online observation with a humanoid robot. In order to achieve this goal, the problems for imitation have to be solved. In this paper, we treat two main issues. One is mapping between different kinematic structures and the other is computing humanoid body pose that satisfies the static...
Magnethoreological-fluid (MR-fluid) actuators are consider as as suitable instruments in rehabilitation trainings so that they are passive actuators. Passive actuators will not generate force by themselves. Only when external force acts on them, they generate reaction force. Considering these properties, passive actuators are stable actuators and appropriate for the human society because they would...
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...
We consider the problem of finding the optimal human-to-machine ratio for classification tasks, where humans and machines are abstracted as workload dependent and independent classifiers, respectively. The contribution is two-fold: 1. We generalize the mixed-initiative nested thresholding, i.e., a classification architecture that uses a primary workload-independent classifier and a secondary workload-dependent...
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,...
Today, talks, presentations, and lectures are often captured on video to give a broad audience the possibility to (re-)access the content. As presenters are often moving around during a talk it is necessary to guide recording cameras. We present an automatic solution for user tracking and camera control. It uses a depth camera for user tracking, and a scalable networking architecture based on publish/subscribe...
The study is a cross-dialect comparison of the vowel systems of different inventories across five Chinese dialects in terms of vowel dispersion and vowel variability. The dialects include Meixian Kejia or Hakka with 5 vowels, Hong Kong Cantonese with 7 vowels, Fuzhou with 8 vowels, Ningbo with 10 vowels, and Wenling with 11 vowels. Formant frequencies were obtained through spectral analysis of speech...
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