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Human activity recognition finds many applications in areas such as surveillance, and sports. Such a system classifies a spatio-temporal feature descriptor of a human figure in a video, based on training examples. However many classifiers face the constraints of the long training time, and the large size of the feature vector. Our method, due to the use of an Support Vector Machine (SVM) classifier,...
HCM-L, a conceptual language for modeling human behavior within the context of ambient assistance is introduced. By exhibiting the results of a pattern-based analysis it is shown that HCM-L features all concepts to express control flows as discussed in [1] and as is relevant for human behavioral modeling. The work is part of the Project HBMS (Human Behavior monitoring and support) which aims at supporting...
Pedagogically, feedback in CAPT systems can be improved by focusing on the most critical errors rather than presenting all errors to the users at the same time. This paper presents our work on the use of crowdsourcing for collection of gradations of word-level mispronunciations in non-native English speech. Quality control procedures based on the proposed WorkerRank algorithm (adapted from well-known...
Automatic detection and recognition of traffic signs is an important tool in intelligent vehicles. It allows more autonomous vehicles and it can alert the driver to possible hazards and changes in the road. In this paper we focus on the recognition of a wide set of triangular traffic signs using a novel algorithm, the Number of Peaks. Once a traffic sign is detected, three horizontal lines (T, H,...
Wearable textile antennas are supposed to be integrated within the clothing or secured on the body. Therefore, the placement of the antennas and their orientation need to be carefully determined. In this paper, the interaction between a single band dipole textile antenna for wireless off-body communication applications with human body is examined. The simulations are performed by means of CST Microwave...
This research is mainly to find culture differences when the user interacts with a home robot having facial expressions. Different nations have different cultures, which are inevitably reflected in communicative modes. Without knowledge of these differences in cross-cultural communication, people may find it hard to pass on the desired message and misunderstandings may arise. In order to let the home...
Performing general human behavior by experts' navigation is expected to be realized as wearable and ubiquitous technologies and computing develop further. For example, the user of the behavior navigation system will be able to conduct first aid treatment as an expert would. We proposed and developed the Wearable Behavior Navigation System (WBNS) using Augmented Reality (AR) technology. By using the...
This paper proposed automated robot speech gesture generation system for service/entertainment robots. This system can automatically generate robot Beat gestures accompanied by speech interaction situation with humans. Beat gestures have no specific semantic meanings to communicate, but it is commonly believed that they are an essential factor of natural communication. We extracted basic gesture patterns...
In a walking rehabilitation, the cooperative walking between therapist and patient is implemented and the synchrony of walking rhythm is often observed. So, we suggest that the interpersonal synchrony is important for walking rehabilitation. Our group has proposed gait assistive system using interactive rhythmic auditory stimulation to emulate interpersonal synchrony. It is called “Walk-Mate”. In...
In this paper, we propose a memory recollection and retrieval system using spatial log data in daily living which allows users to see behavior of the past, unconscious behavior and object-oriented behavior in the Intelligent Space. The proposed system consists of multiple camera devices and microphone and it utilizes various kinds of data; human identification, human motion, object instance, weather...
Circadian rhythm is the biological process critical to the well being of all living organisms. The circadian rhythms oscillate with a period of approximately 24 hours due to the light-darkness pattern of the solar day. Circadian disruption, as experienced by night shift workers, travelers, submariners or miners, can lead to lower productivity, sleep disorder, and other more serious health problems...
Research on high level human-robot interaction systems that aims skill acquisition, concept learning, modification of dialogue strategy and so on requires large-scaled experience database based on social and embodied interaction experiments. However, if we use real robot systems, costs for development of robots and performing many experiments will be too huge. If we choose virtual robot simulator,...
We consider a scenario in which leaders are required to recruit teams of followers. Each leader cannot recruit all followers, but interaction is constrained according to a bipartite network. The objective for each leader is to reach a state of local stability in which it controls a team whose size is equal to a given constraint. We focus on distributed strategies, in which agents have only local information...
An exoskeleton robot is kind of a man-machine system which mostly uses combination of human intelligence and machine power. These robotic systems are used for different applications such as rehabilitation, human power amplification, motion assistance, virtual reality etc. Successful operation of an exoskeleton robot depends on correct selection of design and control methodologies. This paper reviews...
Motivated by models of human decision making, we consider a heuristic solution for explore-exploit problems. In a numerical example we show that, with appropriate parameter values, the algorithm performs well. However, the parameters of the algorithm trade off exploration against exploitation in a complicated way so that finding the optimal parameter values is not obvious. We show that the optimal...
In Artificial Intelligence (AI), utility functions are used to compare the relative goodness of an AI system making one decision over another. These utility functions, along with their coefficients and parameters, comprise a set of beliefs. The term “belief” is used to describe how autonomous systems associate quantified confidences in the existence of things that make up their worldly knowledge;...
Medical ontologies are valuable and effective methods of representing medical knowledge. In this direction, they are much stronger than biomedical vocabularies. In the process of medical diagnosis, each disease has several symptoms associated with it. There are currently no ontologies that relate diseases and symptoms and only attempts at their infancy along with some simple proposed models. However,...
Managing critical infrastructures under the growing cyber-threat is becoming a matter of international urgency. The volume and frequency of cyber-related incidents on the rise yearly, and the level of sophistication is increasing. Critical infrastructures are key service providers and heavily interconnected, meaning any damaging impact would result in devastating consequences and potential cascading...
This paper presents a methodology for running NGS read mapping tools in the cloud environment based on the MapReduce programming paradigm. As a demonstration, the recently developed and robust sequence alignment tool, BFAST, is used within our methodology to handle massive datasets. The results of our experiments show that the transformation of existing read mapping tools to run within the MapReduce...
In this paper the temperature distribution on the corneal surface is computed based on solving a one dimensional Bioheat equation analytically. The computation simplified the geometry into one dimensional form and considered natural convection (from aqueous humor) at the posterior and radiation (from laser source) boundary conditions with consideration of cooling due to evaporation at the anterior...
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